{
"tiddlers": {
"$:/Acknowledgements": {
"title": "$:/Acknowledgements",
"type": "text/vnd.tiddlywiki",
"text": "TiddlyWiki incorporates code from these fine OpenSource projects:\n\n* [[The Stanford Javascript Crypto Library|http://bitwiseshiftleft.github.io/sjcl/]]\n* [[The Jasmine JavaScript Test Framework|http://pivotal.github.io/jasmine/]]\n* [[Normalize.css by Nicolas Gallagher|http://necolas.github.io/normalize.css/]]\n\nAnd media from these projects:\n\n* World flag icons from [[Wikipedia|http://commons.wikimedia.org/wiki/Category:SVG_flags_by_country]]\n"
},
"$:/core/copyright.txt": {
"title": "$:/core/copyright.txt",
"type": "text/plain",
"text": "TiddlyWiki created by Jeremy Ruston, (jeremy [at] jermolene [dot] com)\n\nCopyright © Jeremy Ruston 2004-2007\nCopyright © UnaMesa Association 2007-2016\n\nRedistribution and use in source and binary forms, with or without modification,\nare permitted provided that the following conditions are met:\n\nRedistributions of source code must retain the above copyright notice, this\nlist of conditions and the following disclaimer.\n\nRedistributions in binary form must reproduce the above copyright notice, this\nlist of conditions and the following disclaimer in the documentation and/or other\nmaterials provided with the distribution.\n\nNeither the name of the UnaMesa Association nor the names of its contributors may be\nused to endorse or promote products derived from this software without specific\nprior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 'AS IS' AND ANY\nEXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES\nOF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT\nSHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,\nINCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED\nTO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR\nBUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\nCONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN\nANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH\nDAMAGE.\n"
},
"$:/core/icon": {
"title": "$:/core/icon",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\"><path d=\"M64 0l54.56 32v64L64 128 9.44 96V32L64 0zm21.127 95.408c-3.578-.103-5.15-.094-6.974-3.152l-1.42.042c-1.653-.075-.964-.04-2.067-.097-1.844-.07-1.548-1.86-1.873-2.8-.52-3.202.687-6.43.65-9.632-.014-1.14-1.593-5.17-2.157-6.61-1.768.34-3.546.406-5.34.497-4.134-.01-8.24-.527-12.317-1.183-.8 3.35-3.16 8.036-1.21 11.44 2.37 3.52 4.03 4.495 6.61 4.707 2.572.212 3.16 3.18 2.53 4.242-.55.73-1.52.864-2.346 1.04l-1.65.08c-1.296-.046-2.455-.404-3.61-.955-1.93-1.097-3.925-3.383-5.406-5.024.345.658.55 1.938.24 2.53-.878 1.27-4.665 1.26-6.4.47-1.97-.89-6.73-7.162-7.468-11.86 1.96-3.78 4.812-7.07 6.255-11.186-3.146-2.05-4.83-5.384-4.61-9.16l.08-.44c-3.097.59-1.49.37-4.82.628-10.608-.032-19.935-7.37-14.68-18.774.34-.673.664-1.287 1.243-.994.466.237.4 1.18.166 2.227-3.005 13.627 11.67 13.732 20.69 11.21.89-.25 2.67-1.936 3.905-2.495 2.016-.91 4.205-1.282 6.376-1.55 5.4-.63 11.893 2.276 15.19 2.37 3.3.096 7.99-.805 10.87-.615 2.09.098 4.143.483 6.16 1.03 1.306-6.49 1.4-11.27 4.492-12.38 1.814.293 3.213 2.818 4.25 4.167 2.112-.086 4.12.46 6.115 1.066 3.61-.522 6.642-2.593 9.833-4.203-3.234 2.69-3.673 7.075-3.303 11.127.138 2.103-.444 4.386-1.164 6.54-1.348 3.507-3.95 7.204-6.97 7.014-1.14-.036-1.805-.695-2.653-1.4-.164 1.427-.81 2.7-1.434 3.96-1.44 2.797-5.203 4.03-8.687 7.016-3.484 2.985 1.114 13.65 2.23 15.594 1.114 1.94 4.226 2.652 3.02 4.406-.37.58-.936.785-1.54 1.01l-.82.11zm-40.097-8.85l.553.14c.694-.27 2.09.15 2.83.353-1.363-1.31-3.417-3.24-4.897-4.46-.485-1.47-.278-2.96-.174-4.46l.02-.123c-.582 1.205-1.322 2.376-1.72 3.645-.465 1.71 2.07 3.557 3.052 4.615l.336.3z\" fill-rule=\"evenodd\"/></svg>"
},
"$:/core/images/advanced-search-button": {
"title": "$:/core/images/advanced-search-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-advanced-search-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M74.5651535,87.9848361 C66.9581537,93.0488876 57.8237115,96 48,96 C21.490332,96 0,74.509668 0,48 C0,21.490332 21.490332,0 48,0 C74.509668,0 96,21.490332 96,48 C96,57.8541369 93.0305793,67.0147285 87.9377231,74.6357895 L122.284919,108.982985 C125.978897,112.676963 125.973757,118.65366 122.284271,122.343146 C118.593975,126.033442 112.613238,126.032921 108.92411,122.343793 L74.5651535,87.9848361 Z M48,80 C65.673112,80 80,65.673112 80,48 C80,30.326888 65.673112,16 48,16 C30.326888,16 16,30.326888 16,48 C16,65.673112 30.326888,80 48,80 Z\"></path>\n <circle cx=\"48\" cy=\"48\" r=\"8\"></circle>\n <circle cx=\"28\" cy=\"48\" r=\"8\"></circle>\n <circle cx=\"68\" cy=\"48\" r=\"8\"></circle>\n </g>\n</svg>"
},
"$:/core/images/blank": {
"title": "$:/core/images/blank",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-blank tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\"></svg>"
},
"$:/core/images/cancel-button": {
"title": "$:/core/images/cancel-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-cancel-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n\t<g fill-rule=\"evenodd\">\n\t <path d=\"M64,76.3137085 L47.0294734,93.2842351 C43.9038742,96.4098343 38.8399231,96.4084656 35.7157288,93.2842712 C32.5978915,90.166434 32.5915506,85.0947409 35.7157649,81.9705266 L52.6862915,65 L35.7157649,48.0294734 C32.5901657,44.9038742 32.5915344,39.8399231 35.7157288,36.7157288 C38.833566,33.5978915 43.9052591,33.5915506 47.0294734,36.7157649 L64,53.6862915 L80.9705266,36.7157649 C84.0961258,33.5901657 89.1600769,33.5915344 92.2842712,36.7157288 C95.4021085,39.833566 95.4084494,44.9052591 92.2842351,48.0294734 L75.3137085,65 L92.2842351,81.9705266 C95.4098343,85.0961258 95.4084656,90.1600769 92.2842712,93.2842712 C89.166434,96.4021085 84.0947409,96.4084494 80.9705266,93.2842351 L64,76.3137085 Z M64,129 C99.346224,129 128,100.346224 128,65 C128,29.653776 99.346224,1 64,1 C28.653776,1 1.13686838e-13,29.653776 1.13686838e-13,65 C1.13686838e-13,100.346224 28.653776,129 64,129 Z M64,113 C90.509668,113 112,91.509668 112,65 C112,38.490332 90.509668,17 64,17 C37.490332,17 16,38.490332 16,65 C16,91.509668 37.490332,113 64,113 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/chevron-down": {
"title": "$:/core/images/chevron-down",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-chevron-down tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n\t<g fill-rule=\"evenodd\" transform=\"translate(64.000000, 40.500000) rotate(-270.000000) translate(-64.000000, -40.500000) translate(-22.500000, -26.500000)\">\n <path d=\"M112.743107,112.12741 C111.310627,113.561013 109.331747,114.449239 107.145951,114.449239 L27.9777917,114.449239 C23.6126002,114.449239 20.0618714,110.904826 20.0618714,106.532572 C20.0618714,102.169214 23.6059497,98.6159054 27.9777917,98.6159054 L99.2285381,98.6159054 L99.2285381,27.365159 C99.2285381,22.9999675 102.77295,19.4492387 107.145205,19.4492387 C111.508562,19.4492387 115.061871,22.993317 115.061871,27.365159 L115.061871,106.533318 C115.061871,108.71579 114.175869,110.694669 112.743378,112.127981 Z\" transform=\"translate(67.561871, 66.949239) rotate(-45.000000) translate(-67.561871, -66.949239) \"></path>\n <path d=\"M151.35638,112.12741 C149.923899,113.561013 147.94502,114.449239 145.759224,114.449239 L66.5910645,114.449239 C62.225873,114.449239 58.6751442,110.904826 58.6751442,106.532572 C58.6751442,102.169214 62.2192225,98.6159054 66.5910645,98.6159054 L137.841811,98.6159054 L137.841811,27.365159 C137.841811,22.9999675 141.386223,19.4492387 145.758478,19.4492387 C150.121835,19.4492387 153.675144,22.993317 153.675144,27.365159 L153.675144,106.533318 C153.675144,108.71579 152.789142,110.694669 151.356651,112.127981 Z\" transform=\"translate(106.175144, 66.949239) rotate(-45.000000) translate(-106.175144, -66.949239) \"></path>\n\t</g>\n</svg>"
},
"$:/core/images/chevron-left": {
"title": "$:/core/images/chevron-left",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-chevron-left tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\" version=\"1.1\">\n <g fill-rule=\"evenodd\" transform=\"translate(92.500000, 64.000000) rotate(-180.000000) translate(-92.500000, -64.000000) translate(6.000000, -3.000000)\">\n <path d=\"M112.743107,112.12741 C111.310627,113.561013 109.331747,114.449239 107.145951,114.449239 L27.9777917,114.449239 C23.6126002,114.449239 20.0618714,110.904826 20.0618714,106.532572 C20.0618714,102.169214 23.6059497,98.6159054 27.9777917,98.6159054 L99.2285381,98.6159054 L99.2285381,27.365159 C99.2285381,22.9999675 102.77295,19.4492387 107.145205,19.4492387 C111.508562,19.4492387 115.061871,22.993317 115.061871,27.365159 L115.061871,106.533318 C115.061871,108.71579 114.175869,110.694669 112.743378,112.127981 Z\" transform=\"translate(67.561871, 66.949239) rotate(-45.000000) translate(-67.561871, -66.949239) \"></path>\n <path d=\"M151.35638,112.12741 C149.923899,113.561013 147.94502,114.449239 145.759224,114.449239 L66.5910645,114.449239 C62.225873,114.449239 58.6751442,110.904826 58.6751442,106.532572 C58.6751442,102.169214 62.2192225,98.6159054 66.5910645,98.6159054 L137.841811,98.6159054 L137.841811,27.365159 C137.841811,22.9999675 141.386223,19.4492387 145.758478,19.4492387 C150.121835,19.4492387 153.675144,22.993317 153.675144,27.365159 L153.675144,106.533318 C153.675144,108.71579 152.789142,110.694669 151.356651,112.127981 Z\" transform=\"translate(106.175144, 66.949239) rotate(-45.000000) translate(-106.175144, -66.949239) \"></path>\n </g>\n</svg>"
},
"$:/core/images/chevron-right": {
"title": "$:/core/images/chevron-right",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-chevron-right tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\" transform=\"translate(-48.000000, -3.000000)\">\n <path d=\"M112.743107,112.12741 C111.310627,113.561013 109.331747,114.449239 107.145951,114.449239 L27.9777917,114.449239 C23.6126002,114.449239 20.0618714,110.904826 20.0618714,106.532572 C20.0618714,102.169214 23.6059497,98.6159054 27.9777917,98.6159054 L99.2285381,98.6159054 L99.2285381,27.365159 C99.2285381,22.9999675 102.77295,19.4492387 107.145205,19.4492387 C111.508562,19.4492387 115.061871,22.993317 115.061871,27.365159 L115.061871,106.533318 C115.061871,108.71579 114.175869,110.694669 112.743378,112.127981 Z\" transform=\"translate(67.561871, 66.949239) rotate(-45.000000) translate(-67.561871, -66.949239) \"></path>\n <path d=\"M151.35638,112.12741 C149.923899,113.561013 147.94502,114.449239 145.759224,114.449239 L66.5910645,114.449239 C62.225873,114.449239 58.6751442,110.904826 58.6751442,106.532572 C58.6751442,102.169214 62.2192225,98.6159054 66.5910645,98.6159054 L137.841811,98.6159054 L137.841811,27.365159 C137.841811,22.9999675 141.386223,19.4492387 145.758478,19.4492387 C150.121835,19.4492387 153.675144,22.993317 153.675144,27.365159 L153.675144,106.533318 C153.675144,108.71579 152.789142,110.694669 151.356651,112.127981 Z\" transform=\"translate(106.175144, 66.949239) rotate(-45.000000) translate(-106.175144, -66.949239) \"></path>\n </g>\n</svg>"
},
"$:/core/images/chevron-up": {
"title": "$:/core/images/chevron-up",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-chevron-up tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n\t<g fill-rule=\"evenodd\" transform=\"translate(64.000000, 89.500000) rotate(-90.000000) translate(-64.000000, -89.500000) translate(-22.500000, 22.500000)\">\n <path d=\"M112.743107,112.12741 C111.310627,113.561013 109.331747,114.449239 107.145951,114.449239 L27.9777917,114.449239 C23.6126002,114.449239 20.0618714,110.904826 20.0618714,106.532572 C20.0618714,102.169214 23.6059497,98.6159054 27.9777917,98.6159054 L99.2285381,98.6159054 L99.2285381,27.365159 C99.2285381,22.9999675 102.77295,19.4492387 107.145205,19.4492387 C111.508562,19.4492387 115.061871,22.993317 115.061871,27.365159 L115.061871,106.533318 C115.061871,108.71579 114.175869,110.694669 112.743378,112.127981 Z\" transform=\"translate(67.561871, 66.949239) rotate(-45.000000) translate(-67.561871, -66.949239) \"></path>\n <path d=\"M151.35638,112.12741 C149.923899,113.561013 147.94502,114.449239 145.759224,114.449239 L66.5910645,114.449239 C62.225873,114.449239 58.6751442,110.904826 58.6751442,106.532572 C58.6751442,102.169214 62.2192225,98.6159054 66.5910645,98.6159054 L137.841811,98.6159054 L137.841811,27.365159 C137.841811,22.9999675 141.386223,19.4492387 145.758478,19.4492387 C150.121835,19.4492387 153.675144,22.993317 153.675144,27.365159 L153.675144,106.533318 C153.675144,108.71579 152.789142,110.694669 151.356651,112.127981 Z\" transform=\"translate(106.175144, 66.949239) rotate(-45.000000) translate(-106.175144, -66.949239) \"></path>\n\t</g>\n</svg>"
},
"$:/core/images/clone-button": {
"title": "$:/core/images/clone-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-clone-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M32.2650915,96 L32.2650915,120.002359 C32.2650915,124.419334 35.8432884,128 40.2627323,128 L120.002359,128 C124.419334,128 128,124.421803 128,120.002359 L128,40.2627323 C128,35.8457573 124.421803,32.2650915 120.002359,32.2650915 L96,32.2650915 L96,48 L108.858899,48 C110.519357,48 111.853018,49.3405131 111.853018,50.9941198 L111.853018,108.858899 C111.853018,110.519357 110.512505,111.853018 108.858899,111.853018 L50.9941198,111.853018 C49.333661,111.853018 48,110.512505 48,108.858899 L48,96 L32.2650915,96 Z\"></path>\n <path d=\"M40,56 L32.0070969,56 C27.5881712,56 24,52.418278 24,48 C24,43.5907123 27.5848994,40 32.0070969,40 L40,40 L40,32.0070969 C40,27.5881712 43.581722,24 48,24 C52.4092877,24 56,27.5848994 56,32.0070969 L56,40 L63.9929031,40 C68.4118288,40 72,43.581722 72,48 C72,52.4092877 68.4151006,56 63.9929031,56 L56,56 L56,63.9929031 C56,68.4118288 52.418278,72 48,72 C43.5907123,72 40,68.4151006 40,63.9929031 L40,56 Z M7.9992458,0 C3.58138434,0 0,3.5881049 0,7.9992458 L0,88.0007542 C0,92.4186157 3.5881049,96 7.9992458,96 L88.0007542,96 C92.4186157,96 96,92.4118951 96,88.0007542 L96,7.9992458 C96,3.58138434 92.4118951,0 88.0007542,0 L7.9992458,0 Z M19.0010118,16 C17.3435988,16 16,17.336731 16,19.0010118 L16,76.9989882 C16,78.6564012 17.336731,80 19.0010118,80 L76.9989882,80 C78.6564012,80 80,78.663269 80,76.9989882 L80,19.0010118 C80,17.3435988 78.663269,16 76.9989882,16 L19.0010118,16 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/close-all-button": {
"title": "$:/core/images/close-all-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-close-all-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\" transform=\"translate(-23.000000, -23.000000)\">\n <path d=\"M43,131 L22.9976794,131 C18.5827987,131 15,127.418278 15,123 C15,118.590712 18.5806831,115 22.9976794,115 L43,115 L43,94.9976794 C43,90.5827987 46.581722,87 51,87 C55.4092877,87 59,90.5806831 59,94.9976794 L59,115 L79.0023206,115 C83.4172013,115 87,118.581722 87,123 C87,127.409288 83.4193169,131 79.0023206,131 L59,131 L59,151.002321 C59,155.417201 55.418278,159 51,159 C46.5907123,159 43,155.419317 43,151.002321 L43,131 Z\" transform=\"translate(51.000000, 123.000000) rotate(-45.000000) translate(-51.000000, -123.000000) \"></path>\n <path d=\"M43,59 L22.9976794,59 C18.5827987,59 15,55.418278 15,51 C15,46.5907123 18.5806831,43 22.9976794,43 L43,43 L43,22.9976794 C43,18.5827987 46.581722,15 51,15 C55.4092877,15 59,18.5806831 59,22.9976794 L59,43 L79.0023206,43 C83.4172013,43 87,46.581722 87,51 C87,55.4092877 83.4193169,59 79.0023206,59 L59,59 L59,79.0023206 C59,83.4172013 55.418278,87 51,87 C46.5907123,87 43,83.4193169 43,79.0023206 L43,59 Z\" transform=\"translate(51.000000, 51.000000) rotate(-45.000000) translate(-51.000000, -51.000000) \"></path>\n <path d=\"M115,59 L94.9976794,59 C90.5827987,59 87,55.418278 87,51 C87,46.5907123 90.5806831,43 94.9976794,43 L115,43 L115,22.9976794 C115,18.5827987 118.581722,15 123,15 C127.409288,15 131,18.5806831 131,22.9976794 L131,43 L151.002321,43 C155.417201,43 159,46.581722 159,51 C159,55.4092877 155.419317,59 151.002321,59 L131,59 L131,79.0023206 C131,83.4172013 127.418278,87 123,87 C118.590712,87 115,83.4193169 115,79.0023206 L115,59 Z\" transform=\"translate(123.000000, 51.000000) rotate(-45.000000) translate(-123.000000, -51.000000) \"></path>\n <path d=\"M115,131 L94.9976794,131 C90.5827987,131 87,127.418278 87,123 C87,118.590712 90.5806831,115 94.9976794,115 L115,115 L115,94.9976794 C115,90.5827987 118.581722,87 123,87 C127.409288,87 131,90.5806831 131,94.9976794 L131,115 L151.002321,115 C155.417201,115 159,118.581722 159,123 C159,127.409288 155.419317,131 151.002321,131 L131,131 L131,151.002321 C131,155.417201 127.418278,159 123,159 C118.590712,159 115,155.419317 115,151.002321 L115,131 Z\" transform=\"translate(123.000000, 123.000000) rotate(-45.000000) translate(-123.000000, -123.000000) \"></path>\n </g>\n</svg>"
},
"$:/core/images/close-button": {
"title": "$:/core/images/close-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-close-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M65.0864256,75.4091629 L14.9727349,125.522854 C11.8515951,128.643993 6.78104858,128.64922 3.65685425,125.525026 C0.539017023,122.407189 0.5336324,117.334539 3.65902635,114.209145 L53.7727171,64.0954544 L3.65902635,13.9817637 C0.537886594,10.8606239 0.532659916,5.79007744 3.65685425,2.6658831 C6.77469148,-0.451954124 11.8473409,-0.457338747 14.9727349,2.66805521 L65.0864256,52.7817459 L115.200116,2.66805521 C118.321256,-0.453084553 123.391803,-0.458311231 126.515997,2.6658831 C129.633834,5.78372033 129.639219,10.8563698 126.513825,13.9817637 L76.4001341,64.0954544 L126.513825,114.209145 C129.634965,117.330285 129.640191,122.400831 126.515997,125.525026 C123.39816,128.642863 118.32551,128.648248 115.200116,125.522854 L65.0864256,75.4091629 L65.0864256,75.4091629 Z\"></path>\n </g>\n</svg>\n"
},
"$:/core/images/close-others-button": {
"title": "$:/core/images/close-others-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-close-others-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M64,128 C99.346224,128 128,99.346224 128,64 C128,28.653776 99.346224,0 64,0 C28.653776,0 0,28.653776 0,64 C0,99.346224 28.653776,128 64,128 Z M64,112 C90.509668,112 112,90.509668 112,64 C112,37.490332 90.509668,16 64,16 C37.490332,16 16,37.490332 16,64 C16,90.509668 37.490332,112 64,112 Z M64,96 C81.673112,96 96,81.673112 96,64 C96,46.326888 81.673112,32 64,32 C46.326888,32 32,46.326888 32,64 C32,81.673112 46.326888,96 64,96 Z M64,80 C72.836556,80 80,72.836556 80,64 C80,55.163444 72.836556,48 64,48 C55.163444,48 48,55.163444 48,64 C48,72.836556 55.163444,80 64,80 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/delete-button": {
"title": "$:/core/images/delete-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-delete-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\" transform=\"translate(12.000000, 0.000000)\">\n <rect x=\"0\" y=\"11\" width=\"105\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"28\" y=\"0\" width=\"48\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"8\" y=\"16\" width=\"16\" height=\"112\" rx=\"8\"></rect>\n <rect x=\"8\" y=\"112\" width=\"88\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"80\" y=\"16\" width=\"16\" height=\"112\" rx=\"8\"></rect>\n <rect x=\"56\" y=\"16\" width=\"16\" height=\"112\" rx=\"8\"></rect>\n <rect x=\"32\" y=\"16\" width=\"16\" height=\"112\" rx=\"8\"></rect>\n </g>\n</svg>"
},
"$:/core/images/done-button": {
"title": "$:/core/images/done-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-done-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M3.52445141,76.8322939 C2.07397484,75.3828178 1.17514421,73.3795385 1.17514421,71.1666288 L1.17514421,23.1836596 C1.17514421,18.7531992 4.75686621,15.1751442 9.17514421,15.1751442 C13.5844319,15.1751442 17.1751442,18.7606787 17.1751442,23.1836596 L17.1751442,63.1751442 L119.173716,63.1751442 C123.590457,63.1751442 127.175144,66.7568662 127.175144,71.1751442 C127.175144,75.5844319 123.592783,79.1751442 119.173716,79.1751442 L9.17657227,79.1751442 C6.96796403,79.1751442 4.9674142,78.279521 3.51911285,76.8315312 Z\" id=\"Rectangle-285\" transform=\"translate(64.175144, 47.175144) rotate(-45.000000) translate(-64.175144, -47.175144) \"></path>\n </g>\n</svg>"
},
"$:/core/images/down-arrow": {
"title": "$:/core/images/down-arrow",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-down-arrow tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <path d=\"M109.35638,81.3533152 C107.923899,82.7869182 105.94502,83.6751442 103.759224,83.6751442 L24.5910645,83.6751442 C20.225873,83.6751442 16.6751442,80.1307318 16.6751442,75.7584775 C16.6751442,71.3951199 20.2192225,67.8418109 24.5910645,67.8418109 L95.8418109,67.8418109 L95.8418109,-3.40893546 C95.8418109,-7.77412698 99.3862233,-11.3248558 103.758478,-11.3248558 C108.121835,-11.3248558 111.675144,-7.78077754 111.675144,-3.40893546 L111.675144,75.7592239 C111.675144,77.9416955 110.789142,79.9205745 109.356651,81.3538862 Z\" transform=\"translate(64.175144, 36.175144) rotate(45.000000) translate(-64.175144, -36.175144) \"></path>\n</svg>"
},
"$:/core/images/download-button": {
"title": "$:/core/images/download-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-download-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\"><g fill-rule=\"evenodd\"><path class=\"tc-image-download-button-ring\" d=\"M64,128 C99.346224,128 128,99.346224 128,64 C128,28.653776 99.346224,0 64,0 C28.653776,0 0,28.653776 0,64 C0,99.346224 28.653776,128 64,128 Z M64,112 C90.509668,112 112,90.509668 112,64 C112,37.490332 90.509668,16 64,16 C37.490332,16 16,37.490332 16,64 C16,90.509668 37.490332,112 64,112 Z\"/><path d=\"M34.3496823,66.4308767 L61.2415823,93.634668 C63.0411536,95.4551107 65.9588502,95.4551107 67.7584215,93.634668 L94.6503215,66.4308767 C96.4498928,64.610434 96.4498928,61.6588981 94.6503215,59.8384554 C93.7861334,58.9642445 92.6140473,58.4731195 91.3919019,58.4731195 L82.9324098,58.4731195 C80.3874318,58.4731195 78.3243078,56.3860674 78.3243078,53.8115729 L78.3243078,38.6615466 C78.3243078,36.0870521 76.2611837,34 73.7162058,34 L55.283798,34 C52.7388201,34 50.675696,36.0870521 50.675696,38.6615466 L50.675696,38.6615466 L50.675696,53.8115729 C50.675696,56.3860674 48.612572,58.4731195 46.0675941,58.4731195 L37.608102,58.4731195 C35.063124,58.4731195 33,60.5601716 33,63.134666 C33,64.3709859 33.4854943,65.5566658 34.3496823,66.4308767 L34.3496823,66.4308767 Z\"/></g></svg>"
},
"$:/core/images/edit-button": {
"title": "$:/core/images/edit-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-edit-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M116.870058,45.3431458 L108.870058,45.3431458 L108.870058,45.3431458 L108.870058,61.3431458 L116.870058,61.3431458 L116.870058,45.3431458 Z M124.870058,45.3431458 L127.649881,45.3431458 C132.066101,45.3431458 135.656854,48.9248678 135.656854,53.3431458 C135.656854,57.7524334 132.07201,61.3431458 127.649881,61.3431458 L124.870058,61.3431458 L124.870058,45.3431458 Z M100.870058,45.3431458 L15.6638275,45.3431458 C15.5064377,45.3431458 15.3501085,45.3476943 15.1949638,45.3566664 L15.1949638,45.3566664 C15.0628002,45.3477039 14.928279,45.3431458 14.7913977,45.3431458 C6.68160973,45.3431458 -8.34314575,53.3431458 -8.34314575,53.3431458 C-8.34314575,53.3431458 6.85614548,61.3431458 14.7913977,61.3431458 C14.9266533,61.3431458 15.0596543,61.3384973 15.190398,61.3293588 C15.3470529,61.3385075 15.5049057,61.3431458 15.6638275,61.3431458 L100.870058,61.3431458 L100.870058,45.3431458 L100.870058,45.3431458 Z\" transform=\"translate(63.656854, 53.343146) rotate(-45.000000) translate(-63.656854, -53.343146) \"></path>\n <path d=\"M35.1714596,124.189544 C41.9594858,123.613403 49.068777,121.917633 58.85987,118.842282 C60.6854386,118.268877 62.4306907,117.705515 65.1957709,116.802278 C81.1962861,111.575575 87.0734839,109.994907 93.9414474,109.655721 C102.29855,109.242993 107.795169,111.785371 111.520478,118.355045 C112.610163,120.276732 115.051363,120.951203 116.97305,119.861518 C118.894737,118.771832 119.569207,116.330633 118.479522,114.408946 C113.146151,105.003414 104.734907,101.112919 93.5468356,101.66546 C85.6716631,102.054388 79.4899908,103.716944 62.7116783,109.197722 C59.9734132,110.092199 58.2519873,110.64787 56.4625698,111.20992 C37.002649,117.322218 25.6914684,118.282267 16.8654804,112.957098 C14.9739614,111.815848 12.5154166,112.424061 11.3741667,114.31558 C10.2329168,116.207099 10.84113,118.665644 12.7326489,119.806894 C19.0655164,123.627836 26.4866335,124.926678 35.1714596,124.189544 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/export-button": {
"title": "$:/core/images/export-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-export-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M8.00348646,127.999999 C8.00464867,128 8.00581094,128 8.00697327,128 L119.993027,128 C122.205254,128 124.207939,127.101378 125.657096,125.651198 L125.656838,125.65759 C127.104563,124.210109 128,122.21009 128,119.999949 L128,56.0000511 C128,51.5817449 124.409288,48 120,48 C115.581722,48 112,51.5797863 112,56.0000511 L112,112 L16,112 L16,56.0000511 C16,51.5817449 12.4092877,48 8,48 C3.581722,48 7.10542736e-15,51.5797863 7.10542736e-15,56.0000511 L7.10542736e-15,119.999949 C7.10542736e-15,124.418255 3.59071231,128 8,128 C8.00116233,128 8.0023246,128 8.00348681,127.999999 Z M56.6235633,27.3113724 L47.6580188,36.2769169 C44.5333664,39.4015692 39.4634864,39.4061295 36.339292,36.2819351 C33.2214548,33.1640979 33.2173444,28.0901742 36.3443103,24.9632084 L58.9616908,2.34582788 C60.5248533,0.782665335 62.5748436,0.000361191261 64.624516,2.38225238e-14 L64.6193616,0.00151809229 C66.6695374,0.000796251595 68.7211167,0.781508799 70.2854358,2.34582788 L92.9028163,24.9632084 C96.0274686,28.0878607 96.0320289,33.1577408 92.9078345,36.2819351 C89.7899973,39.3997724 84.7160736,39.4038827 81.5891078,36.2769169 L72.6235633,27.3113724 L72.6235633,88.5669606 C72.6235633,92.9781015 69.0418413,96.5662064 64.6235633,96.5662064 C60.2142756,96.5662064 56.6235633,92.984822 56.6235633,88.5669606 L56.6235633,27.3113724 L56.6235633,27.3113724 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/file": {
"title": "$:/core/images/file",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-file tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"nonzero\">\n <path d=\"M111.96811,30.5 L112,30.5 L112,119.999079 C112,124.417866 108.419113,128 104.000754,128 L23.9992458,128 C19.5813843,128 16,124.417687 16,119.999079 L16,8.00092105 C16,3.58213437 19.5808867,0 23.9992458,0 L81,0 L81,0.0201838424 C83.1589869,-0.071534047 85.3482153,0.707077645 86.9982489,2.35711116 L109.625176,24.9840387 C111.151676,26.510538 111.932942,28.4998414 111.96811,30.5 L111.96811,30.5 Z M81,8 L24,8 L24,120 L104,120 L104,30.5 L89.0003461,30.5 C84.5818769,30.5 81,26.9216269 81,22.4996539 L81,8 Z\"></path>\n <rect x=\"32\" y=\"36\" width=\"64\" height=\"8\" rx=\"8\"></rect>\n <rect x=\"32\" y=\"52\" width=\"64\" height=\"8\" rx=\"8\"></rect>\n <rect x=\"32\" y=\"68\" width=\"64\" height=\"8\" rx=\"8\"></rect>\n <rect x=\"32\" y=\"84\" width=\"64\" height=\"8\" rx=\"8\"></rect>\n <rect x=\"32\" y=\"100\" width=\"64\" height=\"8\" rx=\"8\"></rect>\n <rect x=\"32\" y=\"20\" width=\"40\" height=\"8\" rx=\"8\"></rect>\n </g>\n</svg>"
},
"$:/core/images/fold-all-button": {
"title": "$:/core/images/fold-all-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-fold-all tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <rect x=\"0\" y=\"0\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"0\" y=\"64\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <path d=\"M64.0292774,58.6235628 C61.9791013,58.6242848 59.9275217,57.8435723 58.3632024,56.279253 L35.7458219,33.6618725 C32.6211696,30.5372202 32.6166093,25.4673401 35.7408036,22.3431458 C38.8586409,19.2253085 43.9325646,19.2211982 47.0595304,22.348164 L64.0250749,39.3137085 L80.9906194,22.348164 C84.1152717,19.2235117 89.1851518,19.2189514 92.3093461,22.3431458 C95.4271834,25.460983 95.4312937,30.5349067 92.3043279,33.6618725 L69.6869474,56.279253 C68.1237851,57.8424153 66.0737951,58.6247195 64.0241231,58.6250809 Z\" transform=\"translate(64.024316, 39.313708) scale(1, -1) translate(-64.024316, -39.313708) \"></path>\n <path d=\"M64.0292774,123.621227 C61.9791013,123.621949 59.9275217,122.841236 58.3632024,121.276917 L35.7458219,98.6595365 C32.6211696,95.5348842 32.6166093,90.4650041 35.7408036,87.3408098 C38.8586409,84.2229725 43.9325646,84.2188622 47.0595304,87.345828 L64.0250749,104.311373 L80.9906194,87.345828 C84.1152717,84.2211757 89.1851518,84.2166154 92.3093461,87.3408098 C95.4271834,90.458647 95.4312937,95.5325707 92.3043279,98.6595365 L69.6869474,121.276917 C68.1237851,122.840079 66.0737951,123.622383 64.0241231,123.622745 Z\" transform=\"translate(64.024316, 104.311372) scale(1, -1) translate(-64.024316, -104.311372) \"></path>\n </g>\n</svg>"
},
"$:/core/images/fold-button": {
"title": "$:/core/images/fold-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-fold tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <rect x=\"0\" y=\"0\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <path d=\"M64.0292774,63.6235628 C61.9791013,63.6242848 59.9275217,62.8435723 58.3632024,61.279253 L35.7458219,38.6618725 C32.6211696,35.5372202 32.6166093,30.4673401 35.7408036,27.3431458 C38.8586409,24.2253085 43.9325646,24.2211982 47.0595304,27.348164 L64.0250749,44.3137085 L80.9906194,27.348164 C84.1152717,24.2235117 89.1851518,24.2189514 92.3093461,27.3431458 C95.4271834,30.460983 95.4312937,35.5349067 92.3043279,38.6618725 L69.6869474,61.279253 C68.1237851,62.8424153 66.0737951,63.6247195 64.0241231,63.6250809 Z\" transform=\"translate(64.024316, 44.313708) scale(1, -1) translate(-64.024316, -44.313708) \"></path>\n <path d=\"M64.0049614,105.998482 C61.9547853,105.999204 59.9032057,105.218491 58.3388864,103.654172 L35.7215059,81.0367916 C32.5968535,77.9121393 32.5922933,72.8422592 35.7164876,69.7180649 C38.8343248,66.6002276 43.9082485,66.5961173 47.0352144,69.7230831 L64.0007589,86.6886276 L80.9663034,69.7230831 C84.0909557,66.5984308 89.1608358,66.5938705 92.2850301,69.7180649 C95.4028673,72.8359021 95.4069777,77.9098258 92.2800119,81.0367916 L69.6626314,103.654172 C68.099469,105.217334 66.0494791,105.999639 63.999807,106 Z\" transform=\"translate(64.000000, 86.688628) scale(1, -1) translate(-64.000000, -86.688628) \"></path>\n </g>\n</svg>"
},
"$:/core/images/fold-others-button": {
"title": "$:/core/images/fold-others-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-fold-others tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <rect x=\"0\" y=\"56.0314331\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <path d=\"M101.657101,104.948818 C100.207918,103.498614 98.2051847,102.599976 95.9929031,102.599976 L72,102.599976 L72,78.6070725 C72,76.3964271 71.1036108,74.3936927 69.6545293,72.9441002 L69.6571005,72.9488183 C68.2079177,71.4986143 66.2051847,70.5999756 63.9929031,70.5999756 L32.0070969,70.5999756 C27.5881712,70.5999756 24,74.1816976 24,78.5999756 C24,83.0092633 27.5848994,86.5999756 32.0070969,86.5999756 L56,86.5999756 L56,110.592879 C56,112.803524 56.8963895,114.806259 58.3454713,116.255852 L58.3429,116.251133 C59.7920828,117.701337 61.7948156,118.599976 64.0070969,118.599976 L88,118.599976 L88,142.592879 C88,147.011804 91.581722,150.599976 96,150.599976 C100.409288,150.599976 104,147.015076 104,142.592879 L104,110.607072 C104,108.396427 103.103611,106.393693 101.654529,104.9441 Z\" transform=\"translate(64.000000, 110.599976) rotate(-45.000000) translate(-64.000000, -110.599976) \"></path>\n <path d=\"M101.725643,11.7488671 C100.27646,10.2986632 98.2737272,9.40002441 96.0614456,9.40002441 L72.0685425,9.40002441 L72.0685425,-14.5928787 C72.0685425,-16.8035241 71.1721533,-18.8062584 69.7230718,-20.255851 L69.725643,-20.2511329 C68.2764602,-21.7013368 66.2737272,-22.5999756 64.0614456,-22.5999756 L32.0756394,-22.5999756 C27.6567137,-22.5999756 24.0685425,-19.0182536 24.0685425,-14.5999756 C24.0685425,-10.1906879 27.6534419,-6.59997559 32.0756394,-6.59997559 L56.0685425,-6.59997559 L56.0685425,17.3929275 C56.0685425,19.6035732 56.964932,21.6063078 58.4140138,23.0559004 L58.4114425,23.0511823 C59.8606253,24.5013859 61.8633581,25.4000244 64.0756394,25.4000244 L88.0685425,25.4000244 L88.0685425,49.3929275 C88.0685425,53.8118532 91.6502645,57.4000244 96.0685425,57.4000244 C100.47783,57.4000244 104.068542,53.815125 104.068542,49.3929275 L104.068542,17.4071213 C104.068542,15.1964759 103.172153,13.1937416 101.723072,11.744149 Z\" transform=\"translate(64.068542, 17.400024) scale(1, -1) rotate(-45.000000) translate(-64.068542, -17.400024) \"></path>\n </g>\n</svg>"
},
"$:/core/images/folder": {
"title": "$:/core/images/folder",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-folder tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M55.6943257,128.000004 L7.99859666,128.000004 C3.5810937,128.000004 0,124.413822 0,119.996384 L0,48.0036243 C0,43.5833471 3.58387508,40.0000044 7.99859666,40.0000044 L16,40.0000044 L16,31.9999914 C16,27.5817181 19.5783731,24 24.0003461,24 L55.9996539,24 C60.4181231,24 64,27.5800761 64,31.9999914 L64,40.0000044 L104.001403,40.0000044 C108.418906,40.0000044 112,43.5861868 112,48.0036243 L112,59.8298353 L104,59.7475921 L104,51.9994189 C104,49.7887607 102.207895,48.0000044 99.9972215,48.0000044 L56,48.0000044 L56,36.0000255 C56,33.7898932 54.2072328,32 51.9957423,32 L28.0042577,32 C25.7890275,32 24,33.7908724 24,36.0000255 L24,48.0000044 L12.0027785,48.0000044 C9.78987688,48.0000044 8,49.7906032 8,51.9994189 L8,116.00059 C8,118.211248 9.79210499,120.000004 12.0027785,120.000004 L58.7630167,120.000004 L55.6943257,128.000004 L55.6943257,128.000004 Z\"></path>\n <path d=\"M23.8728955,55.5 L119.875702,55.5 C124.293205,55.5 126.87957,59.5532655 125.650111,64.5630007 L112.305967,118.936999 C111.077582,123.942356 106.497904,128 102.083183,128 L6.08037597,128 C1.66287302,128 -0.923492342,123.946735 0.305967145,118.936999 L13.650111,64.5630007 C14.878496,59.5576436 19.4581739,55.5 23.8728955,55.5 L23.8728955,55.5 L23.8728955,55.5 Z M25.6530124,64 L113.647455,64 C115.858129,64 117.151473,66.0930612 116.538306,68.6662267 L105.417772,115.333773 C104.803671,117.910859 102.515967,120 100.303066,120 L12.3086228,120 C10.0979492,120 8.8046054,117.906939 9.41777189,115.333773 L20.5383062,68.6662267 C21.1524069,66.0891409 23.4401107,64 25.6530124,64 L25.6530124,64 L25.6530124,64 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/full-screen-button": {
"title": "$:/core/images/full-screen-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-full-screen-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g>\n <g>\n <path d=\"M5.29777586e-31,8 C1.59060409e-15,3.581722 3.581722,0 8,0 L40,0 C44.418278,0 48,3.581722 48,8 C48,12.418278 44.418278,16 40,16 L16,16 L16,40 C16,44.418278 12.418278,48 8,48 C3.581722,48 -3.55271368e-15,44.418278 0,40 L3.55271368e-15,8 Z\"></path>\n </g>\n <g transform=\"translate(104.000000, 104.000000) rotate(-180.000000) translate(-104.000000, -104.000000) translate(80.000000, 80.000000)\">\n <path d=\"M5.29777586e-31,8 C1.59060409e-15,3.581722 3.581722,0 8,0 L40,0 C44.418278,0 48,3.581722 48,8 C48,12.418278 44.418278,16 40,16 L16,16 L16,40 C16,44.418278 12.418278,48 8,48 C3.581722,48 -3.55271368e-15,44.418278 0,40 L3.55271368e-15,8 Z\"></path>\n </g>\n <g transform=\"translate(24.000000, 104.000000) rotate(-90.000000) translate(-24.000000, -104.000000) translate(0.000000, 80.000000)\">\n <path d=\"M5.29777586e-31,8 C1.59060409e-15,3.581722 3.581722,0 8,0 L40,0 C44.418278,0 48,3.581722 48,8 C48,12.418278 44.418278,16 40,16 L16,16 L16,40 C16,44.418278 12.418278,48 8,48 C3.581722,48 -3.55271368e-15,44.418278 0,40 L3.55271368e-15,8 Z\"></path>\n </g>\n <g transform=\"translate(104.000000, 24.000000) rotate(90.000000) translate(-104.000000, -24.000000) translate(80.000000, 0.000000)\">\n <path d=\"M5.29777586e-31,8 C1.59060409e-15,3.581722 3.581722,0 8,0 L40,0 C44.418278,0 48,3.581722 48,8 C48,12.418278 44.418278,16 40,16 L16,16 L16,40 C16,44.418278 12.418278,48 8,48 C3.581722,48 -3.55271368e-15,44.418278 0,40 L3.55271368e-15,8 Z\"></path>\n </g>\n </g>\n</svg>"
},
"$:/core/images/github": {
"title": "$:/core/images/github",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-github tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M63.9383506,1.60695328 C28.6017227,1.60695328 -0.055756057,30.2970814 -0.055756057,65.6906208 C-0.055756057,94.003092 18.2804728,118.019715 43.7123154,126.493393 C46.9143781,127.083482 48.0812647,125.104717 48.0812647,123.405261 C48.0812647,121.886765 48.02626,117.85449 47.9948287,112.508284 C30.1929317,116.379268 26.4368926,103.916587 26.4368926,103.916587 C23.5255693,96.5129372 19.3294921,94.5420399 19.3294921,94.5420399 C13.5186324,90.5687739 19.7695302,90.6474524 19.7695302,90.6474524 C26.1933001,91.099854 29.5721638,97.2525155 29.5721638,97.2525155 C35.2808718,107.044059 44.5531024,104.215566 48.1991321,102.575118 C48.7806109,98.4366275 50.4346826,95.612068 52.2616263,94.0109598 C38.0507543,92.3941159 23.1091047,86.8944862 23.1091047,62.3389152 C23.1091047,55.3443933 25.6039634,49.6205298 29.6978889,45.1437211 C29.0378318,43.5229433 26.8415704,37.0044266 30.3265147,28.1845627 C30.3265147,28.1845627 35.6973364,26.4615028 47.9241083,34.7542205 C53.027764,33.330139 58.5046663,32.6220321 63.9462084,32.5944947 C69.3838216,32.6220321 74.856795,33.330139 79.9683085,34.7542205 C92.1872225,26.4615028 97.5501864,28.1845627 97.5501864,28.1845627 C101.042989,37.0044266 98.8467271,43.5229433 98.190599,45.1437211 C102.292382,49.6205298 104.767596,55.3443933 104.767596,62.3389152 C104.767596,86.9574291 89.8023734,92.3744463 75.5482834,93.9598188 C77.8427675,95.9385839 79.8897303,99.8489072 79.8897303,105.828476 C79.8897303,114.392635 79.8111521,121.304544 79.8111521,123.405261 C79.8111521,125.120453 80.966252,127.114954 84.2115327,126.489459 C109.623731,117.996111 127.944244,93.9952241 127.944244,65.6906208 C127.944244,30.2970814 99.2867652,1.60695328 63.9383506,1.60695328\"></path>\n </g>\n </svg>\n"
},
"$:/core/images/globe": {
"title": "$:/core/images/globe",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-globe tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M72.8111354,37.1275855 C72.8111354,37.9789875 72.8111354,38.8303894 72.8111354,39.6817913 C72.8111354,41.8784743 73.7885604,46.5631866 72.8111354,48.5143758 C71.3445471,51.4420595 68.1617327,52.0543531 66.4170946,54.3812641 C65.2352215,55.9575873 61.7987417,64.9821523 62.7262858,67.3005778 C66.6959269,77.2228204 74.26087,70.4881886 80.6887657,76.594328 C81.5527211,77.415037 83.5758191,78.8666631 83.985137,79.8899578 C87.2742852,88.1128283 76.4086873,94.8989524 87.7419325,106.189751 C88.9872885,107.430443 91.555495,102.372895 91.8205061,101.575869 C92.6726866,99.0129203 98.5458765,96.1267309 100.908882,94.5234439 C102.928056,93.1534443 105.782168,91.8557166 107.236936,89.7775886 C109.507391,86.5342557 108.717505,82.2640435 110.334606,79.0328716 C112.473794,74.7585014 114.163418,69.3979002 116.332726,65.0674086 C120.230862,57.2857361 121.054075,67.1596684 121.400359,67.5059523 C121.757734,67.8633269 122.411167,67.5059523 122.916571,67.5059523 C123.011132,67.5059523 124.364019,67.6048489 124.432783,67.5059523 C125.0832,66.5705216 123.390209,49.5852316 123.114531,48.2089091 C121.710578,41.1996597 116.17083,32.4278331 111.249523,27.7092761 C104.975994,21.6942076 104.160516,11.5121686 92.9912146,12.7547535 C92.7872931,12.7774397 87.906794,22.9027026 85.2136766,26.2672064 C81.486311,30.9237934 82.7434931,22.1144904 78.6876623,22.1144904 C78.6065806,22.1144904 77.5045497,22.0107615 77.4353971,22.1144904 C76.8488637,22.9942905 75.9952305,26.0101404 75.1288269,26.5311533 C74.8635477,26.6906793 73.4071369,26.2924966 73.2826811,26.5311533 C71.0401728,30.8313939 81.5394677,28.7427264 79.075427,34.482926 C76.7225098,39.9642538 72.747373,32.4860199 72.747373,43.0434079\"></path>\n <path d=\"M44.4668556,7.01044608 C54.151517,13.1403033 45.1489715,19.2084878 47.1611905,23.2253896 C48.8157833,26.5283781 51.4021933,28.6198851 48.8753629,33.038878 C46.8123257,36.6467763 42.0052989,37.0050492 39.251679,39.7621111 C36.2115749,42.8060154 33.7884281,48.7028116 32.4624592,52.6732691 C30.8452419,57.5158356 47.0088721,59.5388126 44.5246867,63.6811917 C43.1386839,65.9923513 37.7785192,65.1466282 36.0880227,63.8791519 C34.9234453,63.0059918 32.4946425,63.3331166 31.6713597,62.0997342 C29.0575851,58.1839669 29.4107339,54.0758543 28.0457962,49.9707786 C27.1076833,47.1493864 21.732611,47.8501656 20.2022714,49.3776393 C19.6790362,49.8998948 19.8723378,51.1703278 19.8723378,51.8829111 C19.8723378,57.1682405 26.9914913,55.1986414 26.9914913,58.3421973 C26.9914913,72.9792302 30.9191897,64.8771867 38.1313873,69.6793121 C48.1678018,76.3618966 45.9763926,76.981595 53.0777543,84.0829567 C56.7511941,87.7563965 60.8192437,87.7689005 62.503478,93.3767069 C64.1046972,98.7081071 53.1759798,98.7157031 50.786754,100.825053 C49.663965,101.816317 47.9736094,104.970571 46.5680513,105.439676 C44.7757187,106.037867 43.334221,105.93607 41.6242359,107.219093 C39.1967302,109.040481 37.7241465,112.151588 37.6034934,112.030935 C35.4555278,109.88297 34.0848666,96.5511248 33.7147244,93.7726273 C33.1258872,89.3524817 28.1241923,88.2337027 26.7275443,84.7420826 C25.1572737,80.8164061 28.2518481,75.223612 25.599097,70.9819941 C19.0797019,60.557804 13.7775712,56.4811506 10.2493953,44.6896152 C9.3074899,41.5416683 13.5912267,38.1609942 15.1264825,35.8570308 C17.0029359,33.0410312 17.7876232,30.0028946 19.8723378,27.2224065 C22.146793,24.1888519 40.8551166,9.46076832 43.8574051,8.63490613 L44.4668556,7.01044608 Z\"></path>\n <path d=\"M64,126 C98.2416545,126 126,98.2416545 126,64 C126,29.7583455 98.2416545,2 64,2 C29.7583455,2 2,29.7583455 2,64 C2,98.2416545 29.7583455,126 64,126 Z M64,120 C94.927946,120 120,94.927946 120,64 C120,33.072054 94.927946,8 64,8 C33.072054,8 8,33.072054 8,64 C8,94.927946 33.072054,120 64,120 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/help": {
"title": "$:/core/images/help",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-help tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M36.0548906,111.44117 C30.8157418,115.837088 20.8865444,118.803477 9.5,118.803477 C7.86465619,118.803477 6.25937294,118.742289 4.69372699,118.624467 C12.612543,115.984876 18.7559465,110.02454 21.0611049,102.609942 C8.74739781,92.845129 1.04940554,78.9359851 1.04940554,63.5 C1.04940554,33.9527659 29.2554663,10 64.0494055,10 C98.8433448,10 127.049406,33.9527659 127.049406,63.5 C127.049406,93.0472341 98.8433448,117 64.0494055,117 C53.9936953,117 44.48824,114.999337 36.0548906,111.44117 L36.0548906,111.44117 Z M71.4042554,77.5980086 C71.406883,77.2865764 71.4095079,76.9382011 71.4119569,76.5610548 C71.4199751,75.3262169 71.4242825,74.0811293 71.422912,72.9158546 C71.4215244,71.736154 71.4143321,70.709635 71.4001396,69.8743525 C71.4078362,68.5173028 71.9951951,67.7870427 75.1273009,65.6385471 C75.2388969,65.5619968 76.2124091,64.8981068 76.5126553,64.6910879 C79.6062455,62.5580654 81.5345849,60.9050204 83.2750652,58.5038955 C85.6146327,55.2762841 86.8327108,51.426982 86.8327108,46.8554323 C86.8327108,33.5625756 76.972994,24.9029551 65.3778484,24.9029551 C54.2752771,24.9029551 42.8794554,34.5115163 41.3121702,47.1975534 C40.9043016,50.4989536 43.2499725,53.50591 46.5513726,53.9137786 C49.8527728,54.3216471 52.8597292,51.9759763 53.2675978,48.6745761 C54.0739246,42.1479456 60.2395837,36.9492759 65.3778484,36.9492759 C70.6427674,36.9492759 74.78639,40.5885487 74.78639,46.8554323 C74.78639,50.4892974 73.6853224,52.008304 69.6746221,54.7736715 C69.4052605,54.9593956 68.448509,55.6118556 68.3131127,55.7047319 C65.6309785,57.5445655 64.0858213,58.803255 62.6123358,60.6352315 C60.5044618,63.2559399 59.3714208,66.3518252 59.3547527,69.9487679 C59.3684999,70.8407274 59.3752803,71.8084521 59.3765995,72.9300232 C59.3779294,74.0607297 59.3737237,75.2764258 59.36589,76.482835 C59.3634936,76.8518793 59.3609272,77.1924914 59.3583633,77.4963784 C59.3568319,77.6778944 59.3556368,77.8074256 59.3549845,77.8730928 C59.3219814,81.1994287 61.9917551,83.9227111 65.318091,83.9557142 C68.644427,83.9887173 71.3677093,81.3189435 71.4007124,77.9926076 C71.4014444,77.9187458 71.402672,77.7856841 71.4042554,77.5980086 Z M65.3778489,102.097045 C69.5359735,102.097045 72.9067994,98.7262189 72.9067994,94.5680944 C72.9067994,90.4099698 69.5359735,87.0391439 65.3778489,87.0391439 C61.2197243,87.0391439 57.8488984,90.4099698 57.8488984,94.5680944 C57.8488984,98.7262189 61.2197243,102.097045 65.3778489,102.097045 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/home-button": {
"title": "$:/core/images/home-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-home-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M112.9847,119.501583 C112.99485,119.336814 113,119.170705 113,119.003406 L113,67.56802 C116.137461,70.5156358 121.076014,70.4518569 124.133985,67.3938855 C127.25818,64.2696912 127.260618,59.2068102 124.131541,56.0777326 L70.3963143,2.34250601 C68.8331348,0.779326498 66.7828947,-0.000743167069 64.7337457,1.61675364e-05 C62.691312,-0.00409949529 60.6426632,0.777559815 59.077717,2.34250601 L33,28.420223 L33,28.420223 L33,8.00697327 C33,3.58484404 29.4092877,0 25,0 C20.581722,0 17,3.59075293 17,8.00697327 L17,44.420223 L5.3424904,56.0777326 C2.21694607,59.2032769 2.22220878,64.2760483 5.34004601,67.3938855 C8.46424034,70.5180798 13.5271213,70.5205187 16.6561989,67.3914411 L17,67.04764 L17,119.993027 C17,119.994189 17.0000002,119.995351 17.0000007,119.996514 C17.0000002,119.997675 17,119.998838 17,120 C17,124.418278 20.5881049,128 24.9992458,128 L105.000754,128 C109.418616,128 113,124.409288 113,120 C113,119.832611 112.99485,119.666422 112.9847,119.501583 Z M97,112 L97,51.5736087 L97,51.5736087 L64.7370156,19.3106244 L33,51.04764 L33,112 L97,112 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/import-button": {
"title": "$:/core/images/import-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-import-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M105.449437,94.2138951 C105.449437,94.2138951 110.049457,94.1897106 110.049457,99.4026111 C110.049457,104.615512 105.163246,104.615511 105.163246,104.615511 L45.0075072,105.157833 C45.0075072,105.157833 0.367531803,106.289842 0.367532368,66.6449212 C0.367532934,27.0000003 45.0428249,27.0000003 45.0428249,27.0000003 L105.532495,27.0000003 C105.532495,27.0000003 138.996741,25.6734987 138.996741,55.1771866 C138.996741,84.6808745 105.727102,82.8457535 105.727102,82.8457535 L56.1735087,82.8457535 C56.1735087,82.8457535 22.6899229,85.1500223 22.6899229,66.0913753 C22.6899229,47.0327282 56.1735087,49.3383013 56.1735087,49.3383013 L105.727102,49.3383013 C105.727102,49.3383013 111.245209,49.3383024 111.245209,54.8231115 C111.245209,60.3079206 105.727102,60.5074524 105.727102,60.5074524 L56.1735087,60.5074524 C56.1735087,60.5074524 37.48913,60.5074528 37.48913,66.6449195 C37.48913,72.7823862 56.1735087,71.6766023 56.1735087,71.6766023 L105.727102,71.6766029 C105.727102,71.6766029 127.835546,73.1411469 127.835546,55.1771866 C127.835546,35.5304025 105.727102,38.3035317 105.727102,38.3035317 L45.0428249,38.3035317 C45.0428249,38.3035317 11.5287276,38.3035313 11.5287276,66.6449208 C11.5287276,94.9863103 45.0428244,93.9579678 45.0428244,93.9579678 L105.449437,94.2138951 Z\" transform=\"translate(69.367532, 66.000000) rotate(-45.000000) translate(-69.367532, -66.000000) \"></path>\n </g>\n</svg>"
},
"$:/core/images/info-button": {
"title": "$:/core/images/info-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-info-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <g transform=\"translate(0.049406, 0.000000)\">\n <path d=\"M64,128 C99.346224,128 128,99.346224 128,64 C128,28.653776 99.346224,0 64,0 C28.653776,0 0,28.653776 0,64 C0,99.346224 28.653776,128 64,128 Z M64,112 C90.509668,112 112,90.509668 112,64 C112,37.490332 90.509668,16 64,16 C37.490332,16 16,37.490332 16,64 C16,90.509668 37.490332,112 64,112 Z\"></path>\n <circle cx=\"64\" cy=\"32\" r=\"8\"></circle>\n <rect x=\"56\" y=\"48\" width=\"16\" height=\"56\" rx=\"8\"></rect>\n </g>\n </g>\n </g>\n</svg>"
},
"$:/core/images/left-arrow": {
"created": "20150315234410875",
"modified": "20150315235324760",
"tags": "$:/tags/Image",
"title": "$:/core/images/left-arrow",
"text": "<svg class=\"tc-image-left-arrow tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <path transform=\"rotate(135, 63.8945, 64.1752)\" d=\"m109.07576,109.35336c-1.43248,1.43361 -3.41136,2.32182 -5.59717,2.32182l-79.16816,0c-4.36519,0 -7.91592,-3.5444 -7.91592,-7.91666c0,-4.36337 3.54408,-7.91667 7.91592,-7.91667l71.25075,0l0,-71.25075c0,-4.3652 3.54442,-7.91592 7.91667,-7.91592c4.36336,0 7.91667,3.54408 7.91667,7.91592l0,79.16815c0,2.1825 -0.88602,4.16136 -2.3185,5.59467l-0.00027,-0.00056z\"/>\n</svg>\n"
},
"$:/core/images/locked-padlock": {
"title": "$:/core/images/locked-padlock",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-locked-padlock tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M96.4723753,64 L105,64 L105,96.0097716 C105,113.673909 90.6736461,128 73.001193,128 L55.998807,128 C38.3179793,128 24,113.677487 24,96.0097716 L24,64 L32.0000269,64 C32.0028554,48.2766389 32.3030338,16.2688026 64.1594984,16.2688041 C95.9543927,16.2688056 96.4648869,48.325931 96.4723753,64 Z M80.5749059,64 L48.4413579,64 C48.4426205,47.71306 48.5829272,31.9999996 64.1595001,31.9999996 C79.8437473,31.9999996 81.1369461,48.1359182 80.5749059,64 Z M67.7315279,92.3641717 C70.8232551,91.0923621 73,88.0503841 73,84.5 C73,79.8055796 69.1944204,76 64.5,76 C59.8055796,76 56,79.8055796 56,84.5 C56,87.947435 58.0523387,90.9155206 61.0018621,92.2491029 L55.9067479,115.020857 L72.8008958,115.020857 L67.7315279,92.3641717 L67.7315279,92.3641717 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/mail": {
"title": "$:/core/images/mail",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-mail tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M122.826782,104.894066 C121.945525,105.22777 120.990324,105.41043 119.993027,105.41043 L8.00697327,105.41043 C7.19458381,105.41043 6.41045219,105.289614 5.67161357,105.064967 L5.67161357,105.064967 L39.8346483,70.9019325 L60.6765759,91.7438601 C61.6118278,92.679112 62.8865166,93.0560851 64.0946097,92.8783815 C65.2975108,93.0473238 66.5641085,92.6696979 67.4899463,91.7438601 L88.5941459,70.6396605 C88.6693095,70.7292352 88.7490098,70.8162939 88.8332479,70.9005321 L122.826782,104.894066 Z M127.903244,98.6568194 C127.966933,98.2506602 128,97.8343714 128,97.4103789 L128,33.410481 C128,32.7414504 127.917877,32.0916738 127.763157,31.4706493 L94.2292399,65.0045665 C94.3188145,65.0797417 94.4058701,65.1594458 94.4901021,65.2436778 L127.903244,98.6568194 Z M0.205060636,99.2178117 C0.0709009529,98.6370366 0,98.0320192 0,97.4103789 L0,33.410481 C0,32.694007 0.0944223363,31.9995312 0.27147538,31.3387595 L0.27147538,31.3387595 L34.1777941,65.2450783 L0.205060636,99.2178117 L0.205060636,99.2178117 Z M5.92934613,25.6829218 C6.59211333,25.5051988 7.28862283,25.4104299 8.00697327,25.4104299 L119.993027,25.4104299 C120.759109,25.4104299 121.500064,25.5178649 122.201605,25.7184927 L122.201605,25.7184927 L64.0832611,83.8368368 L5.92934613,25.6829218 L5.92934613,25.6829218 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/menu-button": {
"title": "$:/core/images/menu-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-menu-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <rect x=\"0\" y=\"16\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"0\" y=\"56\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"0\" y=\"96\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n</svg>"
},
"$:/core/images/new-button": {
"title": "$:/core/images/new-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-new-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M56,72 L8.00697327,72 C3.59075293,72 0,68.418278 0,64 C0,59.5907123 3.58484404,56 8.00697327,56 L56,56 L56,8.00697327 C56,3.59075293 59.581722,0 64,0 C68.4092877,0 72,3.58484404 72,8.00697327 L72,56 L119.993027,56 C124.409247,56 128,59.581722 128,64 C128,68.4092877 124.415156,72 119.993027,72 L72,72 L72,119.993027 C72,124.409247 68.418278,128 64,128 C59.5907123,128 56,124.415156 56,119.993027 L56,72 L56,72 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/new-here-button": {
"title": "$:/core/images/new-here-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-new-here-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n \t<g transform=\"translate(52.233611, 64.389922) rotate(75.000000) translate(-52.233611, -64.389922) translate(-7.734417, 3.702450)\">\n\t <path d=\"M18.9270186,45.959338 L18.9080585,49.6521741 C18.8884833,53.4648378 21.0574548,58.7482162 23.7526408,61.4434022 L78.5671839,116.257945 C81.2617332,118.952495 85.6348701,118.950391 88.3334363,116.251825 L115.863237,88.7220241 C118.555265,86.0299959 118.564544,81.6509578 115.869358,78.9557717 L61.0548144,24.1412286 C58.3602652,21.4466794 53.0787224,19.2788426 49.2595808,19.3006519 L25.9781737,19.4336012 C22.1633003,19.4553862 19.0471195,22.5673232 19.0275223,26.3842526 L18.9871663,34.2443819 C19.0818862,34.255617 19.1779758,34.2665345 19.2754441,34.2771502 C22.6891275,34.6489512 27.0485594,34.2348566 31.513244,33.2285542 C31.7789418,32.8671684 32.075337,32.5211298 32.4024112,32.1940556 C34.8567584,29.7397084 38.3789778,29.0128681 41.4406288,30.0213822 C41.5958829,29.9543375 41.7503946,29.8866669 41.9041198,29.8183808 L42.1110981,30.2733467 C43.1114373,30.6972371 44.0473796,31.3160521 44.8614145,32.1300869 C48.2842088,35.5528813 48.2555691,41.130967 44.7974459,44.5890903 C41.4339531,47.952583 36.0649346,48.0717177 32.6241879,44.9262969 C27.8170558,45.8919233 23.0726921,46.2881596 18.9270186,45.959338 Z\"></path>\n\t <path d=\"M45.4903462,38.8768094 C36.7300141,42.6833154 26.099618,44.7997354 18.1909048,43.9383587 C7.2512621,42.7468685 1.50150083,35.8404432 4.66865776,24.7010202 C7.51507386,14.6896965 15.4908218,6.92103848 24.3842626,4.38423012 C34.1310219,1.60401701 42.4070208,6.15882777 42.4070209,16.3101169 L34.5379395,16.310117 C34.5379394,11.9285862 31.728784,10.3825286 26.5666962,11.8549876 C20.2597508,13.6540114 14.3453742,19.4148216 12.2444303,26.8041943 C10.4963869,32.9523565 12.6250796,35.5092726 19.0530263,36.2093718 C25.5557042,36.9176104 35.0513021,34.9907189 42.7038419,31.5913902 L42.7421786,31.6756595 C44.3874154,31.5384763 47.8846101,37.3706354 45.9274416,38.6772897 L45.9302799,38.6835285 C45.9166992,38.6895612 45.9031139,38.6955897 45.8895238,38.7016142 C45.8389288,38.7327898 45.7849056,38.7611034 45.7273406,38.7863919 C45.6506459,38.8200841 45.571574,38.8501593 45.4903462,38.8768094 Z\"></path>\n </g>\n <rect x=\"96\" y=\"80\" width=\"16\" height=\"48\" rx=\"8\"></rect>\n <rect x=\"80\" y=\"96\" width=\"48\" height=\"16\" rx=\"8\"></rect>\n </g>\n </g>\n</svg>"
},
"$:/core/images/new-journal-button": {
"title": "$:/core/images/new-journal-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-new-journal-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M102.545455,112.818182 L102.545455,124.636364 L102.545455,124.636364 L102.545455,124.636364 C102.545455,125.941761 103.630828,127 104.969697,127 L111.030303,127 C112.369172,127 113.454545,125.941761 113.454545,124.636364 L113.454545,112.818182 L125.575758,112.818182 C126.914626,112.818182 128,111.759982 128,110.454545 L128,104.545455 C128,103.240018 126.914626,102.181818 125.575758,102.181818 L113.454545,102.181818 L113.454545,90.3636364 C113.454545,89.0582 112.369172,88 111.030303,88 L104.969697,88 L104.969697,88 C103.630828,88 102.545455,89.0582 102.545455,90.3636364 L102.545455,102.181818 L90.4242424,102.181818 L90.4242424,102.181818 C89.0853705,102.181818 88,103.240018 88,104.545455 L88,110.454545 L88,110.454545 L88,110.454545 C88,111.759982 89.0853705,112.818182 90.4242424,112.818182 L102.545455,112.818182 Z\"></path>\n <g transform=\"translate(59.816987, 64.316987) rotate(30.000000) translate(-59.816987, -64.316987) translate(20.316987, 12.816987)\">\n <g transform=\"translate(0.000000, 0.000000)\">\n <path d=\"M9.99631148,0 C4.4755011,0 -2.27373675e-13,4.48070044 -2.27373675e-13,9.99759461 L-2.27373675e-13,91.6128884 C-2.27373675e-13,97.1344074 4.46966773,101.610483 9.99631148,101.610483 L68.9318917,101.610483 C74.4527021,101.610483 78.9282032,97.1297826 78.9282032,91.6128884 L78.9282032,9.99759461 C78.9282032,4.47607557 74.4585355,0 68.9318917,0 L9.99631148,0 Z M20.8885263,26 C24.2022348,26 26.8885263,23.3137085 26.8885263,20 C26.8885263,16.6862915 24.2022348,14 20.8885263,14 C17.5748178,14 14.8885263,16.6862915 14.8885263,20 C14.8885263,23.3137085 17.5748178,26 20.8885263,26 Z M57.3033321,25.6783342 C60.6170406,25.6783342 63.3033321,22.9920427 63.3033321,19.6783342 C63.3033321,16.3646258 60.6170406,13.6783342 57.3033321,13.6783342 C53.9896236,13.6783342 51.3033321,16.3646258 51.3033321,19.6783342 C51.3033321,22.9920427 53.9896236,25.6783342 57.3033321,25.6783342 Z\"></path>\n <text font-family=\"Helvetica\" font-size=\"47.1724138\" font-weight=\"bold\" fill=\"#FFFFFF\">\n <tspan x=\"42\" y=\"77.4847912\" text-anchor=\"middle\"><<now \"DD\">></tspan>\n </text>\n </g>\n </g>\n </g>\n</svg>"
},
"$:/core/images/open-window": {
"title": "$:/core/images/open-window",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-open-window tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M16,112 L104.993898,112 C108.863261,112 112,115.590712 112,120 C112,124.418278 108.858091,128 104.993898,128 L7.00610161,128 C3.13673853,128 0,124.409288 0,120 C0,119.998364 4.30952878e-07,119.996727 1.29273572e-06,119.995091 C4.89579306e-07,119.993456 0,119.99182 0,119.990183 L0,24.0098166 C0,19.586117 3.59071231,16 8,16 C12.418278,16 16,19.5838751 16,24.0098166 L16,112 Z\"></path>\n <path d=\"M96,43.1959595 L96,56 C96,60.418278 99.581722,64 104,64 C108.418278,64 112,60.418278 112,56 L112,24 C112,19.5907123 108.415101,16 103.992903,16 L72.0070969,16 C67.5881712,16 64,19.581722 64,24 C64,28.4092877 67.5848994,32 72.0070969,32 L84.5685425,32 L48.2698369,68.2987056 C45.1421332,71.4264093 45.1434327,76.4904296 48.267627,79.614624 C51.3854642,82.7324612 56.4581306,82.7378289 59.5835454,79.6124141 L96,43.1959595 Z M32,7.9992458 C32,3.58138434 35.5881049,0 39.9992458,0 L120.000754,0 C124.418616,0 128,3.5881049 128,7.9992458 L128,88.0007542 C128,92.4186157 124.411895,96 120.000754,96 L39.9992458,96 C35.5813843,96 32,92.4118951 32,88.0007542 L32,7.9992458 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/options-button": {
"title": "$:/core/images/options-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-options-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M110.48779,76.0002544 C109.354214,80.4045063 107.611262,84.5641217 105.354171,88.3838625 L105.354171,88.3838625 L112.07833,95.1080219 C115.20107,98.2307613 115.210098,103.299824 112.089164,106.420759 L106.420504,112.089418 C103.301049,115.208874 98.2346851,115.205502 95.1077675,112.078585 L88.3836082,105.354425 C84.5638673,107.611516 80.4042519,109.354468 76,110.488045 L76,110.488045 L76,119.993281 C76,124.409501 72.4220153,128.000254 68.0083475,128.000254 L59.9916525,128.000254 C55.5800761,128.000254 52,124.41541 52,119.993281 L52,110.488045 C47.5957481,109.354468 43.4361327,107.611516 39.6163918,105.354425 L32.8922325,112.078585 C29.7694931,115.201324 24.7004301,115.210353 21.5794957,112.089418 L15.9108363,106.420759 C12.7913807,103.301303 12.7947522,98.2349395 15.9216697,95.1080219 L22.6458291,88.3838625 C20.3887383,84.5641217 18.6457859,80.4045063 17.5122098,76.0002544 L8.00697327,76.0002544 C3.59075293,76.0002544 2.19088375e-16,72.4222697 4.89347582e-16,68.0086019 L9.80228577e-16,59.9919069 C1.25035972e-15,55.5803305 3.58484404,52.0002544 8.00697327,52.0002544 L17.5122098,52.0002544 C18.6457859,47.5960025 20.3887383,43.4363871 22.6458291,39.6166462 L15.9216697,32.8924868 C12.7989304,29.7697475 12.7899019,24.7006845 15.9108363,21.5797501 L21.5794957,15.9110907 C24.6989513,12.7916351 29.7653149,12.7950065 32.8922325,15.9219241 L39.6163918,22.6460835 C43.4361327,20.3889927 47.5957481,18.6460403 52,17.5124642 L52,8.00722764 C52,3.5910073 55.5779847,0.000254375069 59.9916525,0.000254375069 L68.0083475,0.000254375069 C72.4199239,0.000254375069 76,3.58509841 76,8.00722764 L76,17.5124642 C80.4042519,18.6460403 84.5638673,20.3889927 88.3836082,22.6460835 L95.1077675,15.9219241 C98.2305069,12.7991848 103.29957,12.7901562 106.420504,15.9110907 L112.089164,21.5797501 C115.208619,24.6992057 115.205248,29.7655693 112.07833,32.8924868 L105.354171,39.6166462 L105.354171,39.6166462 C107.611262,43.4363871 109.354214,47.5960025 110.48779,52.0002544 L119.993027,52.0002544 C124.409247,52.0002544 128,55.5782391 128,59.9919069 L128,68.0086019 C128,72.4201783 124.415156,76.0002544 119.993027,76.0002544 L110.48779,76.0002544 L110.48779,76.0002544 Z M64,96.0002544 C81.673112,96.0002544 96,81.6733664 96,64.0002544 C96,46.3271424 81.673112,32.0002544 64,32.0002544 C46.326888,32.0002544 32,46.3271424 32,64.0002544 C32,81.6733664 46.326888,96.0002544 64,96.0002544 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/palette": {
"title": "$:/core/images/palette",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-palette tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M80.2470434,39.1821571 C75.0645698,38.2680897 69.6261555,37.7814854 64.0193999,37.7814854 C28.6624616,37.7814854 0,57.1324214 0,81.0030106 C0,90.644534 4.67604329,99.5487133 12.5805659,106.738252 C23.5031767,91.1899067 26.3405471,72.3946229 36.8885698,63.5622337 C52.0716764,50.8486559 63.4268694,55.7343343 63.4268694,55.7343343 L80.2470434,39.1821571 Z M106.781666,48.8370714 C119.830962,56.749628 128.0388,68.229191 128.0388,81.0030106 C128.0388,90.3534932 128.557501,98.4142085 116.165191,106.082518 C105.367708,112.763955 112.341384,99.546808 104.321443,95.1851533 C96.3015017,90.8234987 84.3749007,96.492742 86.1084305,103.091059 C89.3087234,115.272303 105.529892,114.54645 92.4224435,119.748569 C79.3149955,124.950687 74.2201582,124.224536 64.0193999,124.224536 C56.1979176,124.224536 48.7040365,123.277578 41.7755684,121.544216 C51.620343,117.347916 69.6563669,109.006202 75.129737,102.088562 C82.7876655,92.4099199 87.3713218,80.0000002 83.3235694,72.4837191 C83.1303943,72.1250117 94.5392656,60.81569 106.781666,48.8370714 Z M1.13430476,123.866563 C0.914084026,123.867944 0.693884185,123.868637 0.473712455,123.868637 C33.9526848,108.928928 22.6351223,59.642592 59.2924543,59.6425917 C59.6085574,61.0606542 59.9358353,62.5865065 60.3541977,64.1372318 C34.4465025,59.9707319 36.7873124,112.168427 1.13429588,123.866563 L1.13430476,123.866563 Z M1.84669213,123.859694 C40.7185279,123.354338 79.9985412,101.513051 79.9985401,79.0466836 C70.7284906,79.0466835 65.9257264,75.5670082 63.1833375,71.1051511 C46.585768,64.1019718 32.81846,116.819636 1.84665952,123.859695 L1.84669213,123.859694 Z M67.1980193,59.8524981 C62.748213,63.9666823 72.0838429,76.2846822 78.5155805,71.1700593 C89.8331416,59.8524993 112.468264,37.2173758 123.785825,25.8998146 C135.103386,14.5822535 123.785825,3.26469247 112.468264,14.5822535 C101.150703,25.8998144 78.9500931,48.9868127 67.1980193,59.8524981 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/permalink-button": {
"title": "$:/core/images/permalink-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-permalink-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M80.4834582,48 L73.0956761,80 L73.0956761,80 L47.5165418,80 L54.9043239,48 L80.4834582,48 Z M84.1773493,32 L89.8007299,7.64246248 C90.7941633,3.33942958 95.0918297,0.64641956 99.3968675,1.64031585 C103.693145,2.63218977 106.385414,6.93288901 105.390651,11.2416793 L100.598215,32 L104.000754,32 C108.411895,32 112,35.581722 112,40 C112,44.4092877 108.418616,48 104.000754,48 L96.9043239,48 L89.5165418,80 L104.000754,80 C108.411895,80 112,83.581722 112,88 C112,92.4092877 108.418616,96 104.000754,96 L85.8226507,96 L80.1992701,120.357538 C79.2058367,124.66057 74.9081703,127.35358 70.6031325,126.359684 C66.3068546,125.36781 63.6145865,121.067111 64.6093491,116.758321 L69.401785,96 L43.8226507,96 L38.1992701,120.357538 C37.2058367,124.66057 32.9081703,127.35358 28.6031325,126.359684 C24.3068546,125.36781 21.6145865,121.067111 22.6093491,116.758321 L27.401785,96 L23.9992458,96 C19.5881049,96 16,92.418278 16,88 C16,83.5907123 19.5813843,80 23.9992458,80 L31.0956761,80 L38.4834582,48 L23.9992458,48 C19.5881049,48 16,44.418278 16,40 C16,35.5907123 19.5813843,32 23.9992458,32 L42.1773493,32 L47.8007299,7.64246248 C48.7941633,3.33942958 53.0918297,0.64641956 57.3968675,1.64031585 C61.6931454,2.63218977 64.3854135,6.93288901 63.3906509,11.2416793 L58.598215,32 L84.1773493,32 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/permaview-button": {
"title": "$:/core/images/permaview-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-permaview-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M81.4834582,48 L79.6365127,56 L79.6365127,56 L74.0573784,56 L75.9043239,48 L81.4834582,48 Z M85.1773493,32 L90.8007299,7.64246248 C91.7941633,3.33942958 96.0918297,0.64641956 100.396867,1.64031585 C104.693145,2.63218977 107.385414,6.93288901 106.390651,11.2416793 L101.598215,32 L104.000754,32 C108.411895,32 112,35.581722 112,40 C112,44.4092877 108.418616,48 104.000754,48 L97.9043239,48 L96.0573784,56 L104.000754,56 C108.411895,56 112,59.581722 112,64 C112,68.4092877 108.418616,72 104.000754,72 L92.3634873,72 L90.5165418,80 L104.000754,80 C108.411895,80 112,83.581722 112,88 C112,92.4092877 108.418616,96 104.000754,96 L86.8226507,96 L81.1992701,120.357538 C80.2058367,124.66057 75.9081703,127.35358 71.6031325,126.359684 C67.3068546,125.36781 64.6145865,121.067111 65.6093491,116.758321 L70.401785,96 L64.8226507,96 L59.1992701,120.357538 C58.2058367,124.66057 53.9081703,127.35358 49.6031325,126.359684 C45.3068546,125.36781 42.6145865,121.067111 43.6093491,116.758321 L48.401785,96 L42.8226507,96 L37.1992701,120.357538 C36.2058367,124.66057 31.9081703,127.35358 27.6031325,126.359684 C23.3068546,125.36781 20.6145865,121.067111 21.6093491,116.758321 L26.401785,96 L23.9992458,96 C19.5881049,96 16,92.418278 16,88 C16,83.5907123 19.5813843,80 23.9992458,80 L30.0956761,80 L31.9426216,72 L23.9992458,72 C19.5881049,72 16,68.418278 16,64 C16,59.5907123 19.5813843,56 23.9992458,56 L35.6365127,56 L37.4834582,48 L23.9992458,48 C19.5881049,48 16,44.418278 16,40 C16,35.5907123 19.5813843,32 23.9992458,32 L41.1773493,32 L46.8007299,7.64246248 C47.7941633,3.33942958 52.0918297,0.64641956 56.3968675,1.64031585 C60.6931454,2.63218977 63.3854135,6.93288901 62.3906509,11.2416793 L57.598215,32 L63.1773493,32 L68.8007299,7.64246248 C69.7941633,3.33942958 74.0918297,0.64641956 78.3968675,1.64031585 C82.6931454,2.63218977 85.3854135,6.93288901 84.3906509,11.2416793 L79.598215,32 L85.1773493,32 Z M53.9043239,48 L52.0573784,56 L57.6365127,56 L59.4834582,48 L53.9043239,48 Z M75.9426216,72 L74.0956761,80 L74.0956761,80 L68.5165418,80 L70.3634873,72 L75.9426216,72 L75.9426216,72 Z M48.3634873,72 L46.5165418,80 L52.0956761,80 L53.9426216,72 L48.3634873,72 L48.3634873,72 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/plugin-generic-language": {
"title": "$:/core/images/plugin-generic-language",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M61.2072232,68.1369825 C56.8829239,70.9319564 54.2082892,74.793177 54.2082892,79.0581634 C54.2082892,86.9638335 63.3980995,93.4821994 75.2498076,94.3940006 C77.412197,98.2964184 83.8475284,101.178858 91.5684735,101.403106 C86.4420125,100.27851 82.4506393,97.6624107 80.9477167,94.3948272 C92.8046245,93.4861461 102,86.9662269 102,79.0581634 C102,70.5281905 91.3014611,63.6132813 78.1041446,63.6132813 C71.5054863,63.6132813 65.5315225,65.3420086 61.2072232,68.1369825 Z M74.001066,53.9793443 C69.6767667,56.7743182 63.7028029,58.5030456 57.1041446,58.5030456 C54.4851745,58.5030456 51.9646095,58.2307276 49.6065315,57.7275105 C46.2945155,59.9778212 41.2235699,61.4171743 35.5395922,61.4171743 C35.4545771,61.4171743 35.3696991,61.4168523 35.2849622,61.4162104 C39.404008,60.5235193 42.7961717,58.6691298 44.7630507,56.286533 C37.8379411,53.5817651 33.2082892,48.669413 33.2082892,43.0581634 C33.2082892,34.5281905 43.9068281,27.6132812 57.1041446,27.6132812 C70.3014611,27.6132812 81,34.5281905 81,43.0581634 C81,47.3231498 78.3253653,51.1843704 74.001066,53.9793443 Z M64,0 L118.5596,32 L118.5596,96 L64,128 L9.44039956,96 L9.44039956,32 L64,0 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/plugin-generic-plugin": {
"title": "$:/core/images/plugin-generic-plugin",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M40.3972881,76.4456988 L40.3972881,95.3404069 L54.5170166,95.3404069 L54.5170166,95.3404069 C54.5165526,95.3385183 54.516089,95.3366295 54.515626,95.3347404 C54.6093153,95.3385061 54.7034848,95.3404069 54.7980982,95.3404069 C58.6157051,95.3404069 61.710487,92.245625 61.710487,88.4280181 C61.710487,86.6197822 61.01617,84.9737128 59.8795929,83.7418666 L59.8795929,83.7418666 C59.8949905,83.7341665 59.9104102,83.7265043 59.925852,83.7188798 C58.8840576,82.5086663 58.2542926,80.9336277 58.2542926,79.2114996 C58.2542926,75.3938927 61.3490745,72.2991108 65.1666814,72.2991108 C68.9842884,72.2991108 72.0790703,75.3938927 72.0790703,79.2114996 C72.0790703,81.1954221 71.2432806,82.9841354 69.9045961,84.2447446 L69.9045961,84.2447446 C69.9333407,84.2629251 69.9619885,84.281245 69.9905383,84.2997032 L69.9905383,84.2997032 C69.1314315,85.4516923 68.6228758,86.8804654 68.6228758,88.4280181 C68.6228758,91.8584969 71.1218232,94.7053153 74.3986526,95.2474079 C74.3913315,95.2784624 74.3838688,95.3094624 74.3762652,95.3404069 L95.6963988,95.3404069 L95.6963988,75.5678578 L95.6963988,75.5678578 C95.6466539,75.5808558 95.5967614,75.5934886 95.5467242,75.6057531 C95.5504899,75.5120637 95.5523907,75.4178943 95.5523907,75.3232809 C95.5523907,71.505674 92.4576088,68.4108921 88.6400019,68.4108921 C86.831766,68.4108921 85.1856966,69.105209 83.9538504,70.2417862 L83.9538504,70.2417862 C83.9461503,70.2263886 83.938488,70.2109688 83.9308636,70.1955271 C82.7206501,71.2373215 81.1456115,71.8670865 79.4234834,71.8670865 C75.6058765,71.8670865 72.5110946,68.7723046 72.5110946,64.9546976 C72.5110946,61.1370907 75.6058765,58.0423088 79.4234834,58.0423088 C81.4074059,58.0423088 83.1961192,58.8780985 84.4567284,60.2167829 L84.4567284,60.2167829 C84.4749089,60.1880383 84.4932288,60.1593906 84.511687,60.1308407 L84.511687,60.1308407 C85.6636761,60.9899475 87.0924492,61.4985032 88.6400019,61.4985032 C92.0704807,61.4985032 94.9172991,58.9995558 95.4593917,55.7227265 C95.538755,55.7414363 95.6177614,55.761071 95.6963988,55.7816184 L95.6963988,40.0412962 L74.3762652,40.0412962 L74.3762652,40.0412962 C74.3838688,40.0103516 74.3913315,39.9793517 74.3986526,39.9482971 L74.3986526,39.9482971 C71.1218232,39.4062046 68.6228758,36.5593862 68.6228758,33.1289073 C68.6228758,31.5813547 69.1314315,30.1525815 69.9905383,29.0005925 C69.9619885,28.9821342 69.9333407,28.9638143 69.9045961,28.9456339 C71.2432806,27.6850247 72.0790703,25.8963113 72.0790703,23.9123888 C72.0790703,20.0947819 68.9842884,17 65.1666814,17 C61.3490745,17 58.2542926,20.0947819 58.2542926,23.9123888 C58.2542926,25.6345169 58.8840576,27.2095556 59.925852,28.419769 L59.925852,28.419769 C59.9104102,28.4273935 59.8949905,28.4350558 59.8795929,28.4427558 C61.01617,29.674602 61.710487,31.3206715 61.710487,33.1289073 C61.710487,36.9465143 58.6157051,40.0412962 54.7980982,40.0412962 C54.7034848,40.0412962 54.6093153,40.0393953 54.515626,40.0356296 L54.515626,40.0356296 C54.516089,40.0375187 54.5165526,40.0394075 54.5170166,40.0412962 L40.3972881,40.0412962 L40.3972881,52.887664 L40.3972881,52.887664 C40.4916889,53.3430132 40.5412962,53.8147625 40.5412962,54.2980982 C40.5412962,58.1157051 37.4465143,61.210487 33.6289073,61.210487 C32.0813547,61.210487 30.6525815,60.7019313 29.5005925,59.8428245 C29.4821342,59.8713744 29.4638143,59.9000221 29.4456339,59.9287667 C28.1850247,58.5900823 26.3963113,57.7542926 24.4123888,57.7542926 C20.5947819,57.7542926 17.5,60.8490745 17.5,64.6666814 C17.5,68.4842884 20.5947819,71.5790703 24.4123888,71.5790703 C26.134517,71.5790703 27.7095556,70.9493053 28.919769,69.9075109 L28.919769,69.9075109 C28.9273935,69.9229526 28.9350558,69.9383724 28.9427558,69.95377 C30.174602,68.8171928 31.8206715,68.1228758 33.6289073,68.1228758 C37.4465143,68.1228758 40.5412962,71.2176578 40.5412962,75.0352647 C40.5412962,75.5186004 40.4916889,75.9903496 40.3972881,76.4456988 Z M64,0 L118.5596,32 L118.5596,96 L64,128 L9.44039956,96 L9.44039956,32 L64,0 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/plugin-generic-theme": {
"title": "$:/core/images/plugin-generic-theme",
"tags": "$:/tags/Image",
"text": "<svg width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M29.4078519,91.4716406 L51.4693474,69.4101451 L51.4646675,69.4054652 C50.5969502,68.5377479 50.5929779,67.1348725 51.4693474,66.2585029 C52.3396494,65.3882009 53.7499654,65.3874786 54.6163097,66.2538229 L64.0805963,75.7181095 C64.9483136,76.5858268 64.9522859,77.9887022 64.0759163,78.8650718 C63.2056143,79.7353737 61.7952984,79.736096 60.9289541,78.8697517 L60.9242741,78.8650718 L60.9242741,78.8650718 L38.8627786,100.926567 C36.2518727,103.537473 32.0187578,103.537473 29.4078519,100.926567 C26.796946,98.3156614 26.796946,94.0825465 29.4078519,91.4716406 Z M60.8017407,66.3810363 C58.3659178,63.6765806 56.3370667,61.2899536 54.9851735,59.5123615 C48.1295381,50.4979488 44.671561,55.2444054 40.7586738,59.5123614 C36.8457866,63.7803174 41.789473,67.2384487 38.0759896,70.2532832 C34.3625062,73.2681177 34.5917646,74.3131575 28.3243876,68.7977024 C22.0570105,63.2822473 21.6235306,61.7636888 24.5005999,58.6166112 C27.3776691,55.4695337 29.7823103,60.4247912 35.6595047,54.8320442 C41.5366991,49.2392972 36.5996215,44.2825646 36.5996215,44.2825646 C36.5996215,44.2825646 48.8365511,19.267683 65.1880231,21.1152173 C81.5394952,22.9627517 59.0022276,18.7228947 53.3962199,38.3410355 C50.9960082,46.7405407 53.8429162,44.7613399 58.3941742,48.3090467 C59.7875202,49.3951602 64.4244828,52.7100463 70.1884353,56.9943417 L90.8648751,36.3179019 L92.4795866,31.5515482 L100.319802,26.8629752 L103.471444,30.0146174 L98.782871,37.8548326 L94.0165173,39.4695441 L73.7934912,59.6925702 C86.4558549,69.2403631 102.104532,81.8392557 102.104532,86.4016913 C102.104533,93.6189834 99.0337832,97.9277545 92.5695848,95.5655717 C87.8765989,93.8506351 73.8015497,80.3744087 63.8173444,69.668717 L60.9242741,72.5617873 L57.7726319,69.4101451 L60.8017407,66.3810363 L60.8017407,66.3810363 Z M63.9533761,1.42108547e-13 L118.512977,32 L118.512977,96 L63.9533761,128 L9.39377563,96 L9.39377563,32 L63.9533761,1.42108547e-13 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/refresh-button": {
"title": "$:/core/images/refresh-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-refresh-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M106.369002,39.4325143 C116.529932,60.3119371 112.939592,86.1974934 95.5979797,103.539105 C73.7286194,125.408466 38.2713806,125.408466 16.4020203,103.539105 C-5.46734008,81.6697449 -5.46734008,46.2125061 16.4020203,24.3431458 C19.5262146,21.2189514 24.5915344,21.2189514 27.7157288,24.3431458 C30.8399231,27.4673401 30.8399231,32.5326599 27.7157288,35.6568542 C12.0947571,51.2778259 12.0947571,76.6044251 27.7157288,92.2253967 C43.3367004,107.846368 68.6632996,107.846368 84.2842712,92.2253967 C97.71993,78.7897379 99.5995262,58.1740623 89.9230597,42.729491 L83.4844861,54.9932839 C81.4307001,58.9052072 76.5945372,60.4115251 72.682614,58.3577391 C68.7706907,56.3039532 67.2643728,51.4677903 69.3181587,47.555867 L84.4354914,18.7613158 C86.4966389,14.8353707 91.3577499,13.3347805 95.273202,15.415792 L124.145886,30.7612457 C128.047354,32.8348248 129.52915,37.6785572 127.455571,41.5800249 C125.381992,45.4814927 120.53826,46.9632892 116.636792,44.8897102 L106.369002,39.4325143 Z M98.1470904,27.0648707 C97.9798954,26.8741582 97.811187,26.6843098 97.6409651,26.4953413 L98.6018187,26.1987327 L98.1470904,27.0648707 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/right-arrow": {
"title": "$:/core/images/right-arrow",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-right-arrow tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <path d=\"M80.3563798,109.353315 C78.9238993,110.786918 76.9450203,111.675144 74.7592239,111.675144 L-4.40893546,111.675144 C-8.77412698,111.675144 -12.3248558,108.130732 -12.3248558,103.758478 C-12.3248558,99.3951199 -8.78077754,95.8418109 -4.40893546,95.8418109 L66.8418109,95.8418109 L66.8418109,24.5910645 C66.8418109,20.225873 70.3862233,16.6751442 74.7584775,16.6751442 C79.1218352,16.6751442 82.6751442,20.2192225 82.6751442,24.5910645 L82.6751442,103.759224 C82.6751442,105.941695 81.7891419,107.920575 80.3566508,109.353886 Z\" transform=\"translate(35.175144, 64.175144) rotate(-45.000000) translate(-35.175144, -64.175144) \"></path>\n</svg>"
},
"$:/core/images/save-button": {
"title": "$:/core/images/save-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-save-button tc-image-button\" viewBox=\"0 0 128 128\" width=\"22pt\" height=\"22pt\">\n <g fill-rule=\"evenodd\">\n <path d=\"M120.78304,34.329058 C125.424287,43.1924006 128.049406,53.2778608 128.049406,63.9764502 C128.049406,99.3226742 99.3956295,127.97645 64.0494055,127.97645 C28.7031816,127.97645 0.0494055385,99.3226742 0.0494055385,63.9764502 C0.0494055385,28.6302262 28.7031816,-0.0235498012 64.0494055,-0.0235498012 C82.8568763,-0.0235498012 99.769563,8.08898558 111.479045,21.0056358 L114.159581,18.3250998 C117.289194,15.1954866 122.356036,15.1939641 125.480231,18.3181584 C128.598068,21.4359957 128.601317,26.5107804 125.473289,29.6388083 L120.78304,34.329058 Z M108.72451,46.3875877 C110.870571,51.8341374 112.049406,57.767628 112.049406,63.9764502 C112.049406,90.4861182 90.5590735,111.97645 64.0494055,111.97645 C37.5397375,111.97645 16.0494055,90.4861182 16.0494055,63.9764502 C16.0494055,37.4667822 37.5397375,15.9764502 64.0494055,15.9764502 C78.438886,15.9764502 91.3495036,22.308215 100.147097,32.3375836 L58.9411255,73.5435552 L41.975581,56.5780107 C38.8486152,53.4510448 33.7746915,53.4551552 30.6568542,56.5729924 C27.5326599,59.6971868 27.5372202,64.7670668 30.6618725,67.8917192 L53.279253,90.5090997 C54.8435723,92.073419 56.8951519,92.8541315 58.9380216,92.8558261 C60.987971,92.8559239 63.0389578,92.0731398 64.6049211,90.5071765 L108.72451,46.3875877 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/spiral": {
"title": "$:/core/images/spiral",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-spiral tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"nonzero\">\n <path d=\"M64.534 68.348c3.39 0 6.097-2.62 6.476-5.968l-4.755-.538 4.75.583c.377-3.07-1.194-6.054-3.89-7.78-2.757-1.773-6.34-2.01-9.566-.7-3.46 1.403-6.14 4.392-7.35 8.148l-.01.026c-1.3 4.08-.72 8.64 1.58 12.52 2.5 4.2 6.77 7.2 11.76 8.27 5.37 1.15 11.11-.05 15.83-3.31 5.04-3.51 8.46-9.02 9.45-15.3 1.05-6.7-.72-13.63-4.92-19.19l.02.02c-4.42-5.93-11.2-9.82-18.78-10.78-7.96-1.01-16.13 1.31-22.59 6.43-6.81 5.39-11.18 13.41-12.11 22.26-.98 9.27 1.87 18.65 7.93 26.02 6.32 7.69 15.6 12.56 25.74 13.48 10.54.96 21.15-2.42 29.45-9.4l.01-.01c8.58-7.25 13.94-17.78 14.86-29.21.94-11.84-2.96-23.69-10.86-32.9-8.19-9.5-19.95-15.36-32.69-16.27-13.16-.94-26.24 3.49-36.34 12.34l.01-.01c-10.41 9.08-16.78 22.1-17.68 36.15-.93 14.44 4.03 28.77 13.79 39.78 10.03 11.32 24.28 18.2 39.6 19.09 15.73.92 31.31-4.56 43.24-15.234 12.23-10.954 19.61-26.44 20.5-43.074.14-2.64-1.89-4.89-4.52-5.03-2.64-.14-4.89 1.88-5.03 4.52-.75 14.1-7 27.2-17.33 36.45-10.03 8.98-23.11 13.58-36.3 12.81-12.79-.75-24.67-6.48-33-15.89-8.07-9.11-12.17-20.94-11.41-32.827.74-11.52 5.942-22.15 14.43-29.54l.01-.01c8.18-7.17 18.74-10.75 29.35-9.998 10.21.726 19.6 5.41 26.11 12.96 6.24 7.273 9.32 16.61 8.573 25.894-.718 8.9-4.88 17.064-11.504 22.66l.01-.007c-6.36 5.342-14.44 7.92-22.425 7.19-7.604-.68-14.52-4.314-19.21-10.027-4.44-5.4-6.517-12.23-5.806-18.94.67-6.3 3.76-11.977 8.54-15.766 4.46-3.54 10.05-5.128 15.44-4.44 5.03.63 9.46 3.18 12.32 7.01l.02.024c2.65 3.5 3.75 7.814 3.1 11.92-.59 3.71-2.58 6.925-5.45 8.924-2.56 1.767-5.61 2.403-8.38 1.81-2.42-.516-4.42-1.92-5.53-3.79-.93-1.56-1.15-3.3-.69-4.75l-4.56-1.446L59.325 65c.36-1.12 1.068-1.905 1.84-2.22.25-.103.48-.14.668-.13.06.006.11.015.14.025.01 0 .01 0-.01-.01-.02-.015-.054-.045-.094-.088-.06-.064-.12-.145-.17-.244-.15-.29-.23-.678-.18-1.11l-.005.04c.15-1.332 1.38-2.523 3.035-2.523-2.65 0-4.79 2.144-4.79 4.787s2.14 4.785 4.78 4.785z\"></path>\n </g>\n</svg>"
},
"$:/core/images/star-filled": {
"title": "$:/core/images/star-filled",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-star-filled tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"nonzero\">\n <path d=\"M61.8361286,96.8228569 L99.1627704,124.110219 C101.883827,126.099427 105.541968,123.420868 104.505636,120.198072 L90.2895569,75.9887263 L89.0292911,79.8977279 L126.314504,52.5528988 C129.032541,50.5595011 127.635256,46.2255025 124.273711,46.2229134 L78.1610486,46.1873965 L81.4604673,48.6032923 L67.1773543,4.41589688 C66.1361365,1.19470104 61.6144265,1.19470104 60.5732087,4.41589688 L46.2900957,48.6032923 L49.5895144,46.1873965 L3.47685231,46.2229134 C0.115307373,46.2255025 -1.28197785,50.5595011 1.43605908,52.5528988 L38.7212719,79.8977279 L37.4610061,75.9887263 L23.2449266,120.198072 C22.2085954,123.420868 25.8667356,126.099427 28.5877926,124.110219 L65.9144344,96.8228569 L61.8361286,96.8228569 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/storyview-classic": {
"title": "$:/core/images/storyview-classic",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-storyview-classic tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M8.00697327,0 C3.58484404,0 0,3.59075293 0,8.00697327 L0,119.993027 C0,124.415156 3.59075293,128 8.00697327,128 L119.993027,128 C124.415156,128 128,124.409247 128,119.993027 L128,8.00697327 C128,3.58484404 124.409247,0 119.993027,0 L8.00697327,0 L8.00697327,0 Z M23.9992458,16 C19.5813843,16 16,19.5776607 16,23.9924054 L16,40.0075946 C16,44.4216782 19.5881049,48 23.9992458,48 L104.000754,48 C108.418616,48 112,44.4223393 112,40.0075946 L112,23.9924054 C112,19.5783218 108.411895,16 104.000754,16 L23.9992458,16 L23.9992458,16 Z M23.9992458,64 C19.5813843,64 16,67.5907123 16,72 C16,76.418278 19.5881049,80 23.9992458,80 L104.000754,80 C108.418616,80 112,76.4092877 112,72 C112,67.581722 108.411895,64 104.000754,64 L23.9992458,64 L23.9992458,64 Z M23.9992458,96 C19.5813843,96 16,99.5907123 16,104 C16,108.418278 19.5881049,112 23.9992458,112 L104.000754,112 C108.418616,112 112,108.409288 112,104 C112,99.581722 108.411895,96 104.000754,96 L23.9992458,96 L23.9992458,96 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/storyview-pop": {
"title": "$:/core/images/storyview-pop",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-storyview-pop tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M8.00697327,0 C3.58484404,0 0,3.59075293 0,8.00697327 L0,119.993027 C0,124.415156 3.59075293,128 8.00697327,128 L119.993027,128 C124.415156,128 128,124.409247 128,119.993027 L128,8.00697327 C128,3.58484404 124.409247,0 119.993027,0 L8.00697327,0 L8.00697327,0 Z M23.9992458,16 C19.5813843,16 16,19.5776607 16,23.9924054 L16,40.0075946 C16,44.4216782 19.5881049,48 23.9992458,48 L104.000754,48 C108.418616,48 112,44.4223393 112,40.0075946 L112,23.9924054 C112,19.5783218 108.411895,16 104.000754,16 L23.9992458,16 L23.9992458,16 Z M16.0098166,56 C11.586117,56 8,59.5776607 8,63.9924054 L8,80.0075946 C8,84.4216782 11.5838751,88 16.0098166,88 L111.990183,88 C116.413883,88 120,84.4223393 120,80.0075946 L120,63.9924054 C120,59.5783218 116.416125,56 111.990183,56 L16.0098166,56 L16.0098166,56 Z M23.9992458,96 C19.5813843,96 16,99.5907123 16,104 C16,108.418278 19.5881049,112 23.9992458,112 L104.000754,112 C108.418616,112 112,108.409288 112,104 C112,99.581722 108.411895,96 104.000754,96 L23.9992458,96 L23.9992458,96 Z M23.9992458,64 C19.5813843,64 16,67.5907123 16,72 C16,76.418278 19.5881049,80 23.9992458,80 L104.000754,80 C108.418616,80 112,76.4092877 112,72 C112,67.581722 108.411895,64 104.000754,64 L23.9992458,64 L23.9992458,64 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/storyview-zoomin": {
"title": "$:/core/images/storyview-zoomin",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-storyview-zoomin tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M8.00697327,0 C3.58484404,0 0,3.59075293 0,8.00697327 L0,119.993027 C0,124.415156 3.59075293,128 8.00697327,128 L119.993027,128 C124.415156,128 128,124.409247 128,119.993027 L128,8.00697327 C128,3.58484404 124.409247,0 119.993027,0 L8.00697327,0 L8.00697327,0 Z M23.9992458,16 C19.5813843,16 16,19.578055 16,24.0085154 L16,71.9914846 C16,76.4144655 19.5881049,80 23.9992458,80 L104.000754,80 C108.418616,80 112,76.421945 112,71.9914846 L112,24.0085154 C112,19.5855345 108.411895,16 104.000754,16 L23.9992458,16 L23.9992458,16 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/tag-button": {
"title": "$:/core/images/tag-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-tag-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M18.1643182,47.6600756 L18.1677196,51.7651887 C18.1708869,55.5878829 20.3581578,60.8623899 23.0531352,63.5573673 L84.9021823,125.406414 C87.5996731,128.103905 91.971139,128.096834 94.6717387,125.396234 L125.766905,94.3010679 C128.473612,91.5943612 128.472063,87.2264889 125.777085,84.5315115 L63.9280381,22.6824644 C61.2305472,19.9849735 55.9517395,17.801995 52.1318769,17.8010313 L25.0560441,17.7942007 C21.2311475,17.7932358 18.1421354,20.8872832 18.1452985,24.7049463 L18.1535504,34.6641936 C18.2481119,34.6754562 18.3439134,34.6864294 18.4409623,34.6971263 C22.1702157,35.1081705 26.9295004,34.6530132 31.806204,33.5444844 C32.1342781,33.0700515 32.5094815,32.6184036 32.9318197,32.1960654 C35.6385117,29.4893734 39.5490441,28.718649 42.94592,29.8824694 C43.0432142,29.8394357 43.1402334,29.7961748 43.2369683,29.7526887 L43.3646982,30.0368244 C44.566601,30.5115916 45.6933052,31.2351533 46.6655958,32.2074439 C50.4612154,36.0030635 50.4663097,42.1518845 46.6769742,45.94122 C43.0594074,49.5587868 37.2914155,49.7181264 33.4734256,46.422636 C28.1082519,47.5454734 22.7987486,48.0186448 18.1643182,47.6600756 Z\"></path>\n <path d=\"M47.6333528,39.5324628 L47.6562932,39.5834939 C37.9670934,43.9391617 26.0718874,46.3819521 17.260095,45.4107025 C5.27267473,44.0894301 -1.02778744,36.4307276 2.44271359,24.0779512 C5.56175386,12.9761516 14.3014034,4.36129832 24.0466405,1.54817001 C34.7269254,-1.53487574 43.7955833,3.51606438 43.7955834,14.7730751 L35.1728168,14.7730752 C35.1728167,9.91428944 32.0946059,8.19982862 26.4381034,9.83267419 C19.5270911,11.8276553 13.046247,18.2159574 10.7440788,26.4102121 C8.82861123,33.2280582 11.161186,36.0634845 18.2047888,36.8398415 C25.3302805,37.6252244 35.7353482,35.4884477 44.1208333,31.7188498 L44.1475077,31.7781871 C44.159701,31.7725635 44.1718402,31.7671479 44.1839238,31.7619434 C45.9448098,31.0035157 50.4503245,38.3109156 47.7081571,39.5012767 C47.6834429,39.512005 47.6585061,39.5223987 47.6333528,39.5324628 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/theme-button": {
"title": "$:/core/images/theme-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-theme-button tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M55.854113,66.9453198 C54.3299482,65.1432292 53.0133883,63.518995 51.9542746,62.1263761 C40.8899947,47.578055 35.3091807,55.2383404 28.9941893,62.1263758 C22.6791979,69.0144112 30.6577916,74.5954741 24.6646171,79.4611023 C18.6714426,84.3267304 19.0414417,86.0133155 8.92654943,77.1119468 C-1.18834284,68.2105781 -1.88793412,65.7597832 2.7553553,60.6807286 C7.39864472,55.601674 11.2794845,63.5989423 20.7646627,54.5728325 C30.2498409,45.5467226 22.2819131,37.5470737 22.2819131,37.5470737 C22.2819131,37.5470737 42.0310399,-2.82433362 68.4206088,0.157393922 C94.8101776,3.13912147 58.4373806,-3.70356506 49.3898693,27.958066 C45.5161782,41.5139906 50.1107906,38.3197672 57.4560458,44.0453955 C59.1625767,45.3756367 63.8839488,48.777453 70.127165,53.3625321 C63.9980513,59.2416709 58.9704753,64.0315459 55.854113,66.9453198 Z M67.4952439,79.8919946 C83.5082212,96.9282402 105.237121,117.617674 112.611591,120.312493 C123.044132,124.12481 128.000001,117.170903 128,105.522947 C127.999999,98.3705516 104.170675,78.980486 84.0760493,63.7529565 C76.6683337,70.9090328 70.7000957,76.7055226 67.4952439,79.8919946 Z\"></path>\n <path d=\"M58.2852966,138.232794 L58.2852966,88.3943645 C56.318874,88.3923153 54.7254089,86.7952906 54.7254089,84.8344788 C54.7254089,82.8684071 56.3175932,81.2745911 58.2890859,81.2745911 L79.6408336,81.2745911 C81.608998,81.2745911 83.2045105,82.8724076 83.2045105,84.8344788 C83.2045105,86.7992907 81.614366,88.3923238 79.6446228,88.3943645 L79.6446228,88.3943646 L79.6446228,138.232794 C79.6446228,144.131009 74.8631748,148.912457 68.9649597,148.912457 C63.0667446,148.912457 58.2852966,144.131009 58.2852966,138.232794 Z M65.405072,-14.8423767 L72.5248474,-14.8423767 L76.0847351,-0.690681892 L72.5248474,6.51694947 L72.5248474,81.2745911 L65.405072,81.2745911 L65.405072,6.51694947 L61.8451843,-0.690681892 L65.405072,-14.8423767 Z\" transform=\"translate(68.964960, 67.035040) rotate(45.000000) translate(-68.964960, -67.035040) \"></path>\n </g>\n</svg>"
},
"$:/core/images/tip": {
"title": "$:/core/images/tip",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-tip tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M64,128.241818 C99.346224,128.241818 128,99.5880417 128,64.2418177 C128,28.8955937 99.346224,0.241817675 64,0.241817675 C28.653776,0.241817675 0,28.8955937 0,64.2418177 C0,99.5880417 28.653776,128.241818 64,128.241818 Z M75.9358659,91.4531941 C75.3115438,95.581915 70.2059206,98.8016748 64,98.8016748 C57.7940794,98.8016748 52.6884562,95.581915 52.0641341,91.4531941 C54.3299053,94.0502127 58.8248941,95.8192805 64,95.8192805 C69.1751059,95.8192805 73.6700947,94.0502127 75.9358659,91.4531941 L75.9358659,91.4531941 Z M75.9358659,95.9453413 C75.3115438,100.074062 70.2059206,103.293822 64,103.293822 C57.7940794,103.293822 52.6884562,100.074062 52.0641341,95.9453413 C54.3299053,98.5423599 58.8248941,100.311428 64,100.311428 C69.1751059,100.311428 73.6700947,98.5423599 75.9358659,95.9453413 L75.9358659,95.9453413 Z M75.9358659,100.40119 C75.3115438,104.529911 70.2059206,107.74967 64,107.74967 C57.7940794,107.74967 52.6884562,104.529911 52.0641341,100.40119 C54.3299053,102.998208 58.8248941,104.767276 64,104.767276 C69.1751059,104.767276 73.6700947,102.998208 75.9358659,100.40119 L75.9358659,100.40119 Z M75.9358659,104.893337 C75.3115438,109.022058 70.2059206,112.241818 64,112.241818 C57.7940794,112.241818 52.6884562,109.022058 52.0641341,104.893337 C54.3299053,107.490356 58.8248941,109.259423 64,109.259423 C69.1751059,109.259423 73.6700947,107.490356 75.9358659,104.893337 L75.9358659,104.893337 Z M64.3010456,24.2418177 C75.9193117,24.2418188 88.0000013,32.0619847 88,48.4419659 C87.9999987,64.8219472 75.9193018,71.7540963 75.9193021,83.5755932 C75.9193022,89.4486648 70.0521957,92.8368862 63.9999994,92.8368862 C57.947803,92.8368862 51.9731007,89.8295115 51.9731007,83.5755932 C51.9731007,71.1469799 39.9999998,65.4700602 40,48.4419647 C40.0000002,31.4138691 52.6827796,24.2418166 64.3010456,24.2418177 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/twitter": {
"title": "$:/core/images/twitter",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-twitter tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M41.6263422,115.803477 C27.0279663,115.803477 13.4398394,111.540813 1.99987456,104.234833 C4.02221627,104.472643 6.08004574,104.594302 8.16644978,104.594302 C20.277456,104.594302 31.4238403,100.47763 40.270894,93.5715185 C28.9590538,93.3635501 19.4123842,85.9189246 16.1230832,75.6885328 C17.7011365,75.9892376 19.320669,76.1503787 20.9862896,76.1503787 C23.344152,76.1503787 25.6278127,75.8359011 27.7971751,75.247346 C15.9709927,72.8821073 7.06079851,62.4745062 7.06079851,49.9982394 C7.06079851,49.8898938 7.06079851,49.7820074 7.06264203,49.67458 C10.5482779,51.6032228 14.5339687,52.7615103 18.7717609,52.8951059 C11.8355159,48.277565 7.2714207,40.3958845 7.2714207,31.4624258 C7.2714207,26.7434257 8.54621495,22.3200804 10.7713439,18.5169676 C23.5211299,34.0957738 42.568842,44.3472839 64.0532269,45.4210985 C63.6126256,43.5365285 63.3835682,41.5711584 63.3835682,39.5529928 C63.3835682,25.3326379 74.95811,13.8034766 89.2347917,13.8034766 C96.6697089,13.8034766 103.387958,16.930807 108.103682,21.9353619 C113.991886,20.780288 119.52429,18.6372496 124.518847,15.6866694 C122.588682,21.6993889 118.490075,26.7457211 113.152623,29.9327334 C118.381769,29.3102055 123.363882,27.926045 127.999875,25.8780385 C124.534056,31.0418981 120.151087,35.5772616 115.100763,39.2077561 C115.150538,40.3118708 115.175426,41.4224128 115.175426,42.538923 C115.175426,76.5663154 89.1744164,115.803477 41.6263422,115.803477\"></path>\n </g>\n</svg>\n"
},
"$:/core/images/unfold-all-button": {
"title": "$:/core/images/unfold-all-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-unfold-all tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <rect x=\"0\" y=\"0\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <rect x=\"0\" y=\"64\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <path d=\"M85.598226,8.34884273 C84.1490432,6.89863875 82.1463102,6 79.9340286,6 L47.9482224,6 C43.5292967,6 39.9411255,9.581722 39.9411255,14 C39.9411255,18.4092877 43.5260249,22 47.9482224,22 L71.9411255,22 L71.9411255,45.9929031 C71.9411255,50.4118288 75.5228475,54 79.9411255,54 C84.3504132,54 87.9411255,50.4151006 87.9411255,45.9929031 L87.9411255,14.0070969 C87.9411255,11.7964515 87.0447363,9.79371715 85.5956548,8.34412458 Z\" transform=\"translate(63.941125, 30.000000) scale(1, -1) rotate(-45.000000) translate(-63.941125, -30.000000) \"></path>\n <path d=\"M85.6571005,72.2899682 C84.2079177,70.8397642 82.2051847,69.9411255 79.9929031,69.9411255 L48.0070969,69.9411255 C43.5881712,69.9411255 40,73.5228475 40,77.9411255 C40,82.3504132 43.5848994,85.9411255 48.0070969,85.9411255 L72,85.9411255 L72,109.934029 C72,114.352954 75.581722,117.941125 80,117.941125 C84.4092877,117.941125 88,114.356226 88,109.934029 L88,77.9482224 C88,75.737577 87.1036108,73.7348426 85.6545293,72.2852501 Z\" transform=\"translate(64.000000, 93.941125) scale(1, -1) rotate(-45.000000) translate(-64.000000, -93.941125) \"></path>\n </g>\n</svg>"
},
"$:/core/images/unfold-button": {
"title": "$:/core/images/unfold-button",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-unfold tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <rect x=\"0\" y=\"0\" width=\"128\" height=\"16\" rx=\"8\"></rect>\n <path d=\"M85.598226,11.3488427 C84.1490432,9.89863875 82.1463102,9 79.9340286,9 L47.9482224,9 C43.5292967,9 39.9411255,12.581722 39.9411255,17 C39.9411255,21.4092877 43.5260249,25 47.9482224,25 L71.9411255,25 L71.9411255,48.9929031 C71.9411255,53.4118288 75.5228475,57 79.9411255,57 C84.3504132,57 87.9411255,53.4151006 87.9411255,48.9929031 L87.9411255,17.0070969 C87.9411255,14.7964515 87.0447363,12.7937171 85.5956548,11.3441246 Z\" transform=\"translate(63.941125, 33.000000) scale(1, -1) rotate(-45.000000) translate(-63.941125, -33.000000) \"></path>\n <path d=\"M85.6571005,53.4077172 C84.2079177,51.9575133 82.2051847,51.0588745 79.9929031,51.0588745 L48.0070969,51.0588745 C43.5881712,51.0588745 40,54.6405965 40,59.0588745 C40,63.4681622 43.5848994,67.0588745 48.0070969,67.0588745 L72,67.0588745 L72,91.0517776 C72,95.4707033 75.581722,99.0588745 80,99.0588745 C84.4092877,99.0588745 88,95.4739751 88,91.0517776 L88,59.0659714 C88,56.855326 87.1036108,54.8525917 85.6545293,53.4029991 Z\" transform=\"translate(64.000000, 75.058875) scale(1, -1) rotate(-45.000000) translate(-64.000000, -75.058875) \"></path>\n </g>\n</svg>"
},
"$:/core/images/unlocked-padlock": {
"title": "$:/core/images/unlocked-padlock",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-unlocked-padlock tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M48.6266053,64 L105,64 L105,96.0097716 C105,113.673909 90.6736461,128 73.001193,128 L55.998807,128 C38.3179793,128 24,113.677487 24,96.0097716 L24,64 L30.136303,64 C19.6806213,51.3490406 2.77158986,28.2115132 25.8366966,8.85759246 C50.4723026,-11.8141335 71.6711028,13.2108337 81.613302,25.0594855 C91.5555012,36.9081373 78.9368488,47.4964439 69.1559674,34.9513593 C59.375086,22.4062748 47.9893192,10.8049522 35.9485154,20.9083862 C23.9077117,31.0118202 34.192312,43.2685325 44.7624679,55.8655518 C47.229397,58.805523 48.403443,61.5979188 48.6266053,64 Z M67.7315279,92.3641717 C70.8232551,91.0923621 73,88.0503841 73,84.5 C73,79.8055796 69.1944204,76 64.5,76 C59.8055796,76 56,79.8055796 56,84.5 C56,87.947435 58.0523387,90.9155206 61.0018621,92.2491029 L55.9067479,115.020857 L72.8008958,115.020857 L67.7315279,92.3641717 L67.7315279,92.3641717 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/up-arrow": {
"created": "20150316000544368",
"modified": "20150316000831867",
"tags": "$:/tags/Image",
"title": "$:/core/images/up-arrow",
"text": "<svg class=\"tc-image-up-arrow tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n<path transform=\"rotate(-135, 63.8945, 64.1752)\" d=\"m109.07576,109.35336c-1.43248,1.43361 -3.41136,2.32182 -5.59717,2.32182l-79.16816,0c-4.36519,0 -7.91592,-3.5444 -7.91592,-7.91666c0,-4.36337 3.54408,-7.91667 7.91592,-7.91667l71.25075,0l0,-71.25074c0,-4.3652 3.54442,-7.91592 7.91667,-7.91592c4.36336,0 7.91667,3.54408 7.91667,7.91592l0,79.16815c0,2.1825 -0.88602,4.16136 -2.3185,5.59467l-0.00027,-0.00056l0.00001,-0.00001z\" />\n</svg>\n \n"
},
"$:/core/images/video": {
"title": "$:/core/images/video",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-video tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M64,12 C29.0909091,12 8.72727273,14.9166667 5.81818182,17.8333333 C2.90909091,20.75 1.93784382e-15,41.1666667 0,64.5 C1.93784382e-15,87.8333333 2.90909091,108.25 5.81818182,111.166667 C8.72727273,114.083333 29.0909091,117 64,117 C98.9090909,117 119.272727,114.083333 122.181818,111.166667 C125.090909,108.25 128,87.8333333 128,64.5 C128,41.1666667 125.090909,20.75 122.181818,17.8333333 C119.272727,14.9166667 98.9090909,12 64,12 Z M54.9161194,44.6182253 C51.102648,42.0759111 48.0112186,43.7391738 48.0112186,48.3159447 L48.0112186,79.6840553 C48.0112186,84.2685636 51.109784,85.9193316 54.9161194,83.3817747 L77.0838806,68.6032672 C80.897352,66.0609529 80.890216,61.9342897 77.0838806,59.3967328 L54.9161194,44.6182253 Z\"></path>\n </g>\n</svg>"
},
"$:/core/images/warning": {
"title": "$:/core/images/warning",
"tags": "$:/tags/Image",
"text": "<svg class=\"tc-image-warning tc-image-button\" width=\"22pt\" height=\"22pt\" viewBox=\"0 0 128 128\">\n <g fill-rule=\"evenodd\">\n <path d=\"M57.0717968,11 C60.1509982,5.66666667 67.8490018,5.66666667 70.9282032,11 L126.353829,107 C129.433031,112.333333 125.584029,119 119.425626,119 L8.57437416,119 C2.41597129,119 -1.43303051,112.333333 1.64617093,107 L57.0717968,11 Z M64,37 C59.581722,37 56,40.5820489 56,44.9935776 L56,73.0064224 C56,77.4211534 59.5907123,81 64,81 C68.418278,81 72,77.4179511 72,73.0064224 L72,44.9935776 C72,40.5788466 68.4092877,37 64,37 Z M64,104 C68.418278,104 72,100.418278 72,96 C72,91.581722 68.418278,88 64,88 C59.581722,88 56,91.581722 56,96 C56,100.418278 59.581722,104 64,104 Z\"></path>\n </g>\n</svg>"
},
"$:/language/Buttons/AdvancedSearch/Caption": {
"title": "$:/language/Buttons/AdvancedSearch/Caption",
"text": "advanced search"
},
"$:/language/Buttons/AdvancedSearch/Hint": {
"title": "$:/language/Buttons/AdvancedSearch/Hint",
"text": "Advanced search"
},
"$:/language/Buttons/Cancel/Caption": {
"title": "$:/language/Buttons/Cancel/Caption",
"text": "cancel"
},
"$:/language/Buttons/Cancel/Hint": {
"title": "$:/language/Buttons/Cancel/Hint",
"text": "Discard changes to this tiddler"
},
"$:/language/Buttons/Clone/Caption": {
"title": "$:/language/Buttons/Clone/Caption",
"text": "clone"
},
"$:/language/Buttons/Clone/Hint": {
"title": "$:/language/Buttons/Clone/Hint",
"text": "Clone this tiddler"
},
"$:/language/Buttons/Close/Caption": {
"title": "$:/language/Buttons/Close/Caption",
"text": "close"
},
"$:/language/Buttons/Close/Hint": {
"title": "$:/language/Buttons/Close/Hint",
"text": "Close this tiddler"
},
"$:/language/Buttons/CloseAll/Caption": {
"title": "$:/language/Buttons/CloseAll/Caption",
"text": "close all"
},
"$:/language/Buttons/CloseAll/Hint": {
"title": "$:/language/Buttons/CloseAll/Hint",
"text": "Close all tiddlers"
},
"$:/language/Buttons/CloseOthers/Caption": {
"title": "$:/language/Buttons/CloseOthers/Caption",
"text": "close others"
},
"$:/language/Buttons/CloseOthers/Hint": {
"title": "$:/language/Buttons/CloseOthers/Hint",
"text": "Close other tiddlers"
},
"$:/language/Buttons/ControlPanel/Caption": {
"title": "$:/language/Buttons/ControlPanel/Caption",
"text": "control panel"
},
"$:/language/Buttons/ControlPanel/Hint": {
"title": "$:/language/Buttons/ControlPanel/Hint",
"text": "Open control panel"
},
"$:/language/Buttons/Delete/Caption": {
"title": "$:/language/Buttons/Delete/Caption",
"text": "delete"
},
"$:/language/Buttons/Delete/Hint": {
"title": "$:/language/Buttons/Delete/Hint",
"text": "Delete this tiddler"
},
"$:/language/Buttons/Edit/Caption": {
"title": "$:/language/Buttons/Edit/Caption",
"text": "edit"
},
"$:/language/Buttons/Edit/Hint": {
"title": "$:/language/Buttons/Edit/Hint",
"text": "Edit this tiddler"
},
"$:/language/Buttons/Encryption/Caption": {
"title": "$:/language/Buttons/Encryption/Caption",
"text": "encryption"
},
"$:/language/Buttons/Encryption/Hint": {
"title": "$:/language/Buttons/Encryption/Hint",
"text": "Set or clear a password for saving this wiki"
},
"$:/language/Buttons/Encryption/ClearPassword/Caption": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Caption",
"text": "clear password"
},
"$:/language/Buttons/Encryption/ClearPassword/Hint": {
"title": "$:/language/Buttons/Encryption/ClearPassword/Hint",
"text": "Clear the password and save this wiki without encryption"
},
"$:/language/Buttons/Encryption/SetPassword/Caption": {
"title": "$:/language/Buttons/Encryption/SetPassword/Caption",
"text": "set password"
},
"$:/language/Buttons/Encryption/SetPassword/Hint": {
"title": "$:/language/Buttons/Encryption/SetPassword/Hint",
"text": "Set a password for saving this wiki with encryption"
},
"$:/language/Buttons/ExportPage/Caption": {
"title": "$:/language/Buttons/ExportPage/Caption",
"text": "export all"
},
"$:/language/Buttons/ExportPage/Hint": {
"title": "$:/language/Buttons/ExportPage/Hint",
"text": "Export all tiddlers"
},
"$:/language/Buttons/ExportTiddler/Caption": {
"title": "$:/language/Buttons/ExportTiddler/Caption",
"text": "export tiddler"
},
"$:/language/Buttons/ExportTiddler/Hint": {
"title": "$:/language/Buttons/ExportTiddler/Hint",
"text": "Export tiddler"
},
"$:/language/Buttons/ExportTiddlers/Caption": {
"title": "$:/language/Buttons/ExportTiddlers/Caption",
"text": "export tiddlers"
},
"$:/language/Buttons/ExportTiddlers/Hint": {
"title": "$:/language/Buttons/ExportTiddlers/Hint",
"text": "Export tiddlers"
},
"$:/language/Buttons/Fold/Caption": {
"title": "$:/language/Buttons/Fold/Caption",
"text": "fold tiddler"
},
"$:/language/Buttons/Fold/Hint": {
"title": "$:/language/Buttons/Fold/Hint",
"text": "Fold the body of this tiddler"
},
"$:/language/Buttons/Fold/FoldBar/Caption": {
"title": "$:/language/Buttons/Fold/FoldBar/Caption",
"text": "fold-bar"
},
"$:/language/Buttons/Fold/FoldBar/Hint": {
"title": "$:/language/Buttons/Fold/FoldBar/Hint",
"text": "Optional bars to fold and unfold tiddlers"
},
"$:/language/Buttons/Unfold/Caption": {
"title": "$:/language/Buttons/Unfold/Caption",
"text": "unfold tiddler"
},
"$:/language/Buttons/Unfold/Hint": {
"title": "$:/language/Buttons/Unfold/Hint",
"text": "Unfold the body of this tiddler"
},
"$:/language/Buttons/FoldOthers/Caption": {
"title": "$:/language/Buttons/FoldOthers/Caption",
"text": "fold other tiddlers"
},
"$:/language/Buttons/FoldOthers/Hint": {
"title": "$:/language/Buttons/FoldOthers/Hint",
"text": "Fold the bodies of other opened tiddlers"
},
"$:/language/Buttons/FoldAll/Caption": {
"title": "$:/language/Buttons/FoldAll/Caption",
"text": "fold all tiddlers"
},
"$:/language/Buttons/FoldAll/Hint": {
"title": "$:/language/Buttons/FoldAll/Hint",
"text": "Fold the bodies of all opened tiddlers"
},
"$:/language/Buttons/UnfoldAll/Caption": {
"title": "$:/language/Buttons/UnfoldAll/Caption",
"text": "unfold all tiddlers"
},
"$:/language/Buttons/UnfoldAll/Hint": {
"title": "$:/language/Buttons/UnfoldAll/Hint",
"text": "Unfold the bodies of all opened tiddlers"
},
"$:/language/Buttons/FullScreen/Caption": {
"title": "$:/language/Buttons/FullScreen/Caption",
"text": "full-screen"
},
"$:/language/Buttons/FullScreen/Hint": {
"title": "$:/language/Buttons/FullScreen/Hint",
"text": "Enter or leave full-screen mode"
},
"$:/language/Buttons/Help/Caption": {
"title": "$:/language/Buttons/Help/Caption",
"text": "help"
},
"$:/language/Buttons/Help/Hint": {
"title": "$:/language/Buttons/Help/Hint",
"text": "Show help panel"
},
"$:/language/Buttons/Import/Caption": {
"title": "$:/language/Buttons/Import/Caption",
"text": "import"
},
"$:/language/Buttons/Import/Hint": {
"title": "$:/language/Buttons/Import/Hint",
"text": "Import many types of file including text, image, TiddlyWiki or JSON"
},
"$:/language/Buttons/Info/Caption": {
"title": "$:/language/Buttons/Info/Caption",
"text": "info"
},
"$:/language/Buttons/Info/Hint": {
"title": "$:/language/Buttons/Info/Hint",
"text": "Show information for this tiddler"
},
"$:/language/Buttons/Home/Caption": {
"title": "$:/language/Buttons/Home/Caption",
"text": "home"
},
"$:/language/Buttons/Home/Hint": {
"title": "$:/language/Buttons/Home/Hint",
"text": "Open the default tiddlers"
},
"$:/language/Buttons/Language/Caption": {
"title": "$:/language/Buttons/Language/Caption",
"text": "language"
},
"$:/language/Buttons/Language/Hint": {
"title": "$:/language/Buttons/Language/Hint",
"text": "Choose the user interface language"
},
"$:/language/Buttons/More/Caption": {
"title": "$:/language/Buttons/More/Caption",
"text": "more"
},
"$:/language/Buttons/More/Hint": {
"title": "$:/language/Buttons/More/Hint",
"text": "More actions"
},
"$:/language/Buttons/NewHere/Caption": {
"title": "$:/language/Buttons/NewHere/Caption",
"text": "new here"
},
"$:/language/Buttons/NewHere/Hint": {
"title": "$:/language/Buttons/NewHere/Hint",
"text": "Create a new tiddler tagged with this one"
},
"$:/language/Buttons/NewJournal/Caption": {
"title": "$:/language/Buttons/NewJournal/Caption",
"text": "new journal"
},
"$:/language/Buttons/NewJournal/Hint": {
"title": "$:/language/Buttons/NewJournal/Hint",
"text": "Create a new journal tiddler"
},
"$:/language/Buttons/NewJournalHere/Caption": {
"title": "$:/language/Buttons/NewJournalHere/Caption",
"text": "new journal here"
},
"$:/language/Buttons/NewJournalHere/Hint": {
"title": "$:/language/Buttons/NewJournalHere/Hint",
"text": "Create a new journal tiddler tagged with this one"
},
"$:/language/Buttons/NewTiddler/Caption": {
"title": "$:/language/Buttons/NewTiddler/Caption",
"text": "new tiddler"
},
"$:/language/Buttons/NewTiddler/Hint": {
"title": "$:/language/Buttons/NewTiddler/Hint",
"text": "Create a new tiddler"
},
"$:/language/Buttons/OpenWindow/Caption": {
"title": "$:/language/Buttons/OpenWindow/Caption",
"text": "open in new window"
},
"$:/language/Buttons/OpenWindow/Hint": {
"title": "$:/language/Buttons/OpenWindow/Hint",
"text": "Open tiddler in new window"
},
"$:/language/Buttons/Palette/Caption": {
"title": "$:/language/Buttons/Palette/Caption",
"text": "palette"
},
"$:/language/Buttons/Palette/Hint": {
"title": "$:/language/Buttons/Palette/Hint",
"text": "Choose the colour palette"
},
"$:/language/Buttons/Permalink/Caption": {
"title": "$:/language/Buttons/Permalink/Caption",
"text": "permalink"
},
"$:/language/Buttons/Permalink/Hint": {
"title": "$:/language/Buttons/Permalink/Hint",
"text": "Set browser address bar to a direct link to this tiddler"
},
"$:/language/Buttons/Permaview/Caption": {
"title": "$:/language/Buttons/Permaview/Caption",
"text": "permaview"
},
"$:/language/Buttons/Permaview/Hint": {
"title": "$:/language/Buttons/Permaview/Hint",
"text": "Set browser address bar to a direct link to all the tiddlers in this story"
},
"$:/language/Buttons/Refresh/Caption": {
"title": "$:/language/Buttons/Refresh/Caption",
"text": "refresh"
},
"$:/language/Buttons/Refresh/Hint": {
"title": "$:/language/Buttons/Refresh/Hint",
"text": "Perform a full refresh of the wiki"
},
"$:/language/Buttons/Save/Caption": {
"title": "$:/language/Buttons/Save/Caption",
"text": "ok"
},
"$:/language/Buttons/Save/Hint": {
"title": "$:/language/Buttons/Save/Hint",
"text": "Confirm changes to this tiddler"
},
"$:/language/Buttons/SaveWiki/Caption": {
"title": "$:/language/Buttons/SaveWiki/Caption",
"text": "save changes"
},
"$:/language/Buttons/SaveWiki/Hint": {
"title": "$:/language/Buttons/SaveWiki/Hint",
"text": "Save changes"
},
"$:/language/Buttons/StoryView/Caption": {
"title": "$:/language/Buttons/StoryView/Caption",
"text": "storyview"
},
"$:/language/Buttons/StoryView/Hint": {
"title": "$:/language/Buttons/StoryView/Hint",
"text": "Choose the story visualisation"
},
"$:/language/Buttons/HideSideBar/Caption": {
"title": "$:/language/Buttons/HideSideBar/Caption",
"text": "hide sidebar"
},
"$:/language/Buttons/HideSideBar/Hint": {
"title": "$:/language/Buttons/HideSideBar/Hint",
"text": "Hide sidebar"
},
"$:/language/Buttons/ShowSideBar/Caption": {
"title": "$:/language/Buttons/ShowSideBar/Caption",
"text": "show sidebar"
},
"$:/language/Buttons/ShowSideBar/Hint": {
"title": "$:/language/Buttons/ShowSideBar/Hint",
"text": "Show sidebar"
},
"$:/language/Buttons/TagManager/Caption": {
"title": "$:/language/Buttons/TagManager/Caption",
"text": "tag manager"
},
"$:/language/Buttons/TagManager/Hint": {
"title": "$:/language/Buttons/TagManager/Hint",
"text": "Open tag manager"
},
"$:/language/Buttons/Theme/Caption": {
"title": "$:/language/Buttons/Theme/Caption",
"text": "theme"
},
"$:/language/Buttons/Theme/Hint": {
"title": "$:/language/Buttons/Theme/Hint",
"text": "Choose the display theme"
},
"$:/language/ControlPanel/Advanced/Caption": {
"title": "$:/language/ControlPanel/Advanced/Caption",
"text": "Advanced"
},
"$:/language/ControlPanel/Advanced/Hint": {
"title": "$:/language/ControlPanel/Advanced/Hint",
"text": "Internal information about this TiddlyWiki"
},
"$:/language/ControlPanel/Appearance/Caption": {
"title": "$:/language/ControlPanel/Appearance/Caption",
"text": "Appearance"
},
"$:/language/ControlPanel/Appearance/Hint": {
"title": "$:/language/ControlPanel/Appearance/Hint",
"text": "Ways to customise the appearance of your TiddlyWiki."
},
"$:/language/ControlPanel/Basics/AnimDuration/Prompt": {
"title": "$:/language/ControlPanel/Basics/AnimDuration/Prompt",
"text": "Animation duration:"
},
"$:/language/ControlPanel/Basics/Caption": {
"title": "$:/language/ControlPanel/Basics/Caption",
"text": "Basics"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/BottomHint",
"text": "Use [[double square brackets]] for titles with spaces. Or you can choose to <$button set=\"$:/DefaultTiddlers\" setTo=\"[list[$:/StoryList]]\">retain story ordering</$button>"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/Prompt",
"text": "Default tiddlers:"
},
"$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint": {
"title": "$:/language/ControlPanel/Basics/DefaultTiddlers/TopHint",
"text": "Choose which tiddlers are displayed at startup:"
},
"$:/language/ControlPanel/Basics/Language/Prompt": {
"title": "$:/language/ControlPanel/Basics/Language/Prompt",
"text": "Hello! Current language:"
},
"$:/language/ControlPanel/Basics/NewJournal/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Title/Prompt",
"text": "Title of new journal tiddlers"
},
"$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/NewJournal/Tags/Prompt",
"text": "Tags for new journal tiddlers"
},
"$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/OverriddenShadowTiddlers/Prompt",
"text": "Number of overridden shadow tiddlers:"
},
"$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/ShadowTiddlers/Prompt",
"text": "Number of shadow tiddlers:"
},
"$:/language/ControlPanel/Basics/Subtitle/Prompt": {
"title": "$:/language/ControlPanel/Basics/Subtitle/Prompt",
"text": "Subtitle:"
},
"$:/language/ControlPanel/Basics/SystemTiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/SystemTiddlers/Prompt",
"text": "Number of system tiddlers:"
},
"$:/language/ControlPanel/Basics/Tags/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tags/Prompt",
"text": "Number of tags:"
},
"$:/language/ControlPanel/Basics/Tiddlers/Prompt": {
"title": "$:/language/ControlPanel/Basics/Tiddlers/Prompt",
"text": "Number of tiddlers:"
},
"$:/language/ControlPanel/Basics/Title/Prompt": {
"title": "$:/language/ControlPanel/Basics/Title/Prompt",
"text": "Title of this ~TiddlyWiki:"
},
"$:/language/ControlPanel/Basics/Username/Prompt": {
"title": "$:/language/ControlPanel/Basics/Username/Prompt",
"text": "Username for signing edits:"
},
"$:/language/ControlPanel/Basics/Version/Prompt": {
"title": "$:/language/ControlPanel/Basics/Version/Prompt",
"text": "~TiddlyWiki version:"
},
"$:/language/ControlPanel/EditorTypes/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Caption",
"text": "Editor Types"
},
"$:/language/ControlPanel/EditorTypes/Editor/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Editor/Caption",
"text": "Editor"
},
"$:/language/ControlPanel/EditorTypes/Hint": {
"title": "$:/language/ControlPanel/EditorTypes/Hint",
"text": "These tiddlers determine which editor is used to edit specific tiddler types."
},
"$:/language/ControlPanel/EditorTypes/Type/Caption": {
"title": "$:/language/ControlPanel/EditorTypes/Type/Caption",
"text": "Type"
},
"$:/language/ControlPanel/Info/Caption": {
"title": "$:/language/ControlPanel/Info/Caption",
"text": "Info"
},
"$:/language/ControlPanel/Info/Hint": {
"title": "$:/language/ControlPanel/Info/Hint",
"text": "Information about this TiddlyWiki"
},
"$:/language/ControlPanel/LoadedModules/Caption": {
"title": "$:/language/ControlPanel/LoadedModules/Caption",
"text": "Loaded Modules"
},
"$:/language/ControlPanel/LoadedModules/Hint": {
"title": "$:/language/ControlPanel/LoadedModules/Hint",
"text": "These are the currently loaded tiddler modules linked to their source tiddlers. Any italicised modules lack a source tiddler, typically because they were setup during the boot process."
},
"$:/language/ControlPanel/Palette/Caption": {
"title": "$:/language/ControlPanel/Palette/Caption",
"text": "Palette"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Caption",
"text": "clone"
},
"$:/language/ControlPanel/Palette/Editor/Clone/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Clone/Prompt",
"text": "It is recommended that you clone this shadow palette before editing it"
},
"$:/language/ControlPanel/Palette/Editor/Prompt/Modified": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt/Modified",
"text": "This shadow palette has been modified"
},
"$:/language/ControlPanel/Palette/Editor/Prompt": {
"title": "$:/language/ControlPanel/Palette/Editor/Prompt",
"text": "Editing"
},
"$:/language/ControlPanel/Palette/Editor/Reset/Caption": {
"title": "$:/language/ControlPanel/Palette/Editor/Reset/Caption",
"text": "reset"
},
"$:/language/ControlPanel/Palette/HideEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/HideEditor/Caption",
"text": "hide editor"
},
"$:/language/ControlPanel/Palette/Prompt": {
"title": "$:/language/ControlPanel/Palette/Prompt",
"text": "Current palette:"
},
"$:/language/ControlPanel/Palette/ShowEditor/Caption": {
"title": "$:/language/ControlPanel/Palette/ShowEditor/Caption",
"text": "show editor"
},
"$:/language/ControlPanel/Parsing/Caption": {
"title": "$:/language/ControlPanel/Parsing/Caption",
"text": "Parsing"
},
"$:/language/ControlPanel/Parsing/Hint": {
"title": "$:/language/ControlPanel/Parsing/Hint",
"text": "Here you can globally disable individual wiki parser rules. Take care as disabling some parser rules can prevent ~TiddlyWiki functioning correctly (you can restore normal operation with [[safe mode|http://tiddlywiki.com/#SafeMode]] )"
},
"$:/language/ControlPanel/Parsing/Block/Caption": {
"title": "$:/language/ControlPanel/Parsing/Block/Caption",
"text": "Block Parse Rules"
},
"$:/language/ControlPanel/Parsing/Inline/Caption": {
"title": "$:/language/ControlPanel/Parsing/Inline/Caption",
"text": "Inline Parse Rules"
},
"$:/language/ControlPanel/Parsing/Pragma/Caption": {
"title": "$:/language/ControlPanel/Parsing/Pragma/Caption",
"text": "Pragma Parse Rules"
},
"$:/language/ControlPanel/Plugins/Add/Hint": {
"title": "$:/language/ControlPanel/Plugins/Add/Hint",
"text": "Install plugins from the official library"
},
"$:/language/ControlPanel/Plugins/Add/Caption": {
"title": "$:/language/ControlPanel/Plugins/Add/Caption",
"text": "Get more plugins"
},
"$:/language/ControlPanel/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Disable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Disable/Caption",
"text": "disable"
},
"$:/language/ControlPanel/Plugins/Disable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Disable/Hint",
"text": "Disable this plugin when reloading page"
},
"$:/language/ControlPanel/Plugins/Disabled/Status": {
"title": "$:/language/ControlPanel/Plugins/Disabled/Status",
"text": "(disabled)"
},
"$:/language/ControlPanel/Plugins/Empty/Hint": {
"title": "$:/language/ControlPanel/Plugins/Empty/Hint",
"text": "None"
},
"$:/language/ControlPanel/Plugins/Enable/Caption": {
"title": "$:/language/ControlPanel/Plugins/Enable/Caption",
"text": "enable"
},
"$:/language/ControlPanel/Plugins/Enable/Hint": {
"title": "$:/language/ControlPanel/Plugins/Enable/Hint",
"text": "Enable this plugin when reloading page"
},
"$:/language/ControlPanel/Plugins/Install": {
"title": "$:/language/ControlPanel/Plugins/Install",
"text": "install"
},
"$:/language/ControlPanel/Plugins/Installed/Hint": {
"title": "$:/language/ControlPanel/Plugins/Installed/Hint",
"text": "Currently installed plugins:"
},
"$:/language/ControlPanel/Plugins/Languages/Caption": {
"title": "$:/language/ControlPanel/Plugins/Languages/Caption",
"text": "Languages"
},
"$:/language/ControlPanel/Plugins/Languages/Hint": {
"title": "$:/language/ControlPanel/Plugins/Languages/Hint",
"text": "Language pack plugins"
},
"$:/language/ControlPanel/Plugins/OpenPluginLibrary": {
"title": "$:/language/ControlPanel/Plugins/OpenPluginLibrary",
"text": "open plugin library"
},
"$:/language/ControlPanel/Plugins/Plugins/Caption": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Caption",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Plugins/Hint": {
"title": "$:/language/ControlPanel/Plugins/Plugins/Hint",
"text": "Plugins"
},
"$:/language/ControlPanel/Plugins/Reinstall": {
"title": "$:/language/ControlPanel/Plugins/Reinstall",
"text": "reinstall"
},
"$:/language/ControlPanel/Plugins/Themes/Caption": {
"title": "$:/language/ControlPanel/Plugins/Themes/Caption",
"text": "Themes"
},
"$:/language/ControlPanel/Plugins/Themes/Hint": {
"title": "$:/language/ControlPanel/Plugins/Themes/Hint",
"text": "Theme plugins"
},
"$:/language/ControlPanel/Saving/Caption": {
"title": "$:/language/ControlPanel/Saving/Caption",
"text": "Saving"
},
"$:/language/ControlPanel/Saving/Heading": {
"title": "$:/language/ControlPanel/Saving/Heading",
"text": "Saving"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Advanced/Heading",
"text": "Advanced Settings"
},
"$:/language/ControlPanel/Saving/TiddlySpot/BackupDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/BackupDir",
"text": "Backup Directory"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Backups": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Backups",
"text": "Backups"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Description": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Description",
"text": "These settings are only used when saving to http://tiddlyspot.com or a compatible remote server"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Filename": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Filename",
"text": "Upload Filename"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Heading": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Heading",
"text": "~TiddlySpot"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Hint": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Hint",
"text": "//The server URL defaults to `http://<wikiname>.tiddlyspot.com/store.cgi` and can be changed to use a custom server address, e.g. `http://example.com/store.php`.//"
},
"$:/language/ControlPanel/Saving/TiddlySpot/Password": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/Password",
"text": "Password"
},
"$:/language/ControlPanel/Saving/TiddlySpot/ServerURL": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/ServerURL",
"text": "Server URL"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UploadDir": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UploadDir",
"text": "Upload Directory"
},
"$:/language/ControlPanel/Saving/TiddlySpot/UserName": {
"title": "$:/language/ControlPanel/Saving/TiddlySpot/UserName",
"text": "Wiki Name"
},
"$:/language/ControlPanel/Settings/AutoSave/Caption": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Caption",
"text": "Autosave"
},
"$:/language/ControlPanel/Settings/AutoSave/Disabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Disabled/Description",
"text": "Do not save changes automatically"
},
"$:/language/ControlPanel/Settings/AutoSave/Enabled/Description": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Enabled/Description",
"text": "Save changes automatically"
},
"$:/language/ControlPanel/Settings/AutoSave/Hint": {
"title": "$:/language/ControlPanel/Settings/AutoSave/Hint",
"text": "Automatically save changes during editing"
},
"$:/language/ControlPanel/Settings/CamelCase/Caption": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Caption",
"text": "Camel Case Wiki Links"
},
"$:/language/ControlPanel/Settings/CamelCase/Hint": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Hint",
"text": "You can globally disable automatic linking of ~CamelCase phrases. Requires reload to take effect"
},
"$:/language/ControlPanel/Settings/CamelCase/Description": {
"title": "$:/language/ControlPanel/Settings/CamelCase/Description",
"text": "Enable automatic ~CamelCase linking"
},
"$:/language/ControlPanel/Settings/Caption": {
"title": "$:/language/ControlPanel/Settings/Caption",
"text": "Settings"
},
"$:/language/ControlPanel/Settings/Hint": {
"title": "$:/language/ControlPanel/Settings/Hint",
"text": "These settings let you customise the behaviour of TiddlyWiki."
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Caption",
"text": "Navigation Address Bar"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Hint",
"text": "Behaviour of the browser address bar when navigating to a tiddler:"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/No/Description",
"text": "Do not update the address bar"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permalink/Description",
"text": "Include the target tiddler"
},
"$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationAddressBar/Permaview/Description",
"text": "Include the target tiddler and the current story sequence"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Caption": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Caption",
"text": "Navigation History"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Hint": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Hint",
"text": "Update browser history when navigating to a tiddler:"
},
"$:/language/ControlPanel/Settings/NavigationHistory/No/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/No/Description",
"text": "Do not update history"
},
"$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/NavigationHistory/Yes/Description",
"text": "Update history"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption",
"text": "Performance Instrumentation"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Hint",
"text": "Displays performance statistics in the browser developer console. Requires reload to take effect"
},
"$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description": {
"title": "$:/language/ControlPanel/Settings/PerformanceInstrumentation/Description",
"text": "Enable performance instrumentation"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption",
"text": "Toolbar Button Style"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Hint",
"text": "Choose the style for toolbar buttons:"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless",
"text": "Borderless"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed",
"text": "Boxed"
},
"$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded",
"text": "Rounded"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Caption": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Caption",
"text": "Toolbar Buttons"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Hint": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Hint",
"text": "Default toolbar button appearance:"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Icons/Description",
"text": "Include icon"
},
"$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description": {
"title": "$:/language/ControlPanel/Settings/ToolbarButtons/Text/Description",
"text": "Include text"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption",
"text": "Default Sidebar Tab"
},
"$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint": {
"title": "$:/language/ControlPanel/Settings/DefaultSidebarTab/Hint",
"text": "Specify which sidebar tab is displayed by default"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/Caption": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/Caption",
"text": "Tiddler Opening Behaviour"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/InsideRiver/Hint",
"text": "Navigation from //within// the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OutsideRiver/Hint",
"text": "Navigation from //outside// the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAbove",
"text": "Open above the current tiddler"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenBelow",
"text": "Open below the current tiddler"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtTop",
"text": "Open at the top of the story river"
},
"$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom": {
"title": "$:/language/ControlPanel/Settings/LinkToBehaviour/OpenAtBottom",
"text": "Open at the bottom of the story river"
},
"$:/language/ControlPanel/Settings/TitleLinks/Caption": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Caption",
"text": "Tiddler Titles"
},
"$:/language/ControlPanel/Settings/TitleLinks/Hint": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Hint",
"text": "Optionally display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/TitleLinks/No/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/No/Description",
"text": "Do not display tiddler titles as links"
},
"$:/language/ControlPanel/Settings/TitleLinks/Yes/Description": {
"title": "$:/language/ControlPanel/Settings/TitleLinks/Yes/Description",
"text": "Display tiddler titles as links"
},
"$:/language/ControlPanel/StoryView/Caption": {
"title": "$:/language/ControlPanel/StoryView/Caption",
"text": "Story View"
},
"$:/language/ControlPanel/StoryView/Prompt": {
"title": "$:/language/ControlPanel/StoryView/Prompt",
"text": "Current view:"
},
"$:/language/ControlPanel/Theme/Caption": {
"title": "$:/language/ControlPanel/Theme/Caption",
"text": "Theme"
},
"$:/language/ControlPanel/Theme/Prompt": {
"title": "$:/language/ControlPanel/Theme/Prompt",
"text": "Current theme:"
},
"$:/language/ControlPanel/TiddlerFields/Caption": {
"title": "$:/language/ControlPanel/TiddlerFields/Caption",
"text": "Tiddler Fields"
},
"$:/language/ControlPanel/TiddlerFields/Hint": {
"title": "$:/language/ControlPanel/TiddlerFields/Hint",
"text": "This is the full set of TiddlerFields in use in this wiki (including system tiddlers but excluding shadow tiddlers)."
},
"$:/language/ControlPanel/Toolbars/Caption": {
"title": "$:/language/ControlPanel/Toolbars/Caption",
"text": "Toolbars"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Caption",
"text": "Edit Toolbar"
},
"$:/language/ControlPanel/Toolbars/EditToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/EditToolbar/Hint",
"text": "Choose which buttons are displayed for tiddlers in edit mode"
},
"$:/language/ControlPanel/Toolbars/Hint": {
"title": "$:/language/ControlPanel/Toolbars/Hint",
"text": "Select which toolbar buttons are displayed"
},
"$:/language/ControlPanel/Toolbars/PageControls/Caption": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Caption",
"text": "Page Toolbar"
},
"$:/language/ControlPanel/Toolbars/PageControls/Hint": {
"title": "$:/language/ControlPanel/Toolbars/PageControls/Hint",
"text": "Choose which buttons are displayed on the main page toolbar"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Caption": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Caption",
"text": "View Toolbar"
},
"$:/language/ControlPanel/Toolbars/ViewToolbar/Hint": {
"title": "$:/language/ControlPanel/Toolbars/ViewToolbar/Hint",
"text": "Choose which buttons are displayed for tiddlers in view mode"
},
"$:/language/ControlPanel/Tools/Download/Full/Caption": {
"title": "$:/language/ControlPanel/Tools/Download/Full/Caption",
"text": "Download full wiki"
},
"$:/language/Date/DaySuffix/1": {
"title": "$:/language/Date/DaySuffix/1",
"text": "st"
},
"$:/language/Date/DaySuffix/2": {
"title": "$:/language/Date/DaySuffix/2",
"text": "nd"
},
"$:/language/Date/DaySuffix/3": {
"title": "$:/language/Date/DaySuffix/3",
"text": "rd"
},
"$:/language/Date/DaySuffix/4": {
"title": "$:/language/Date/DaySuffix/4",
"text": "th"
},
"$:/language/Date/DaySuffix/5": {
"title": "$:/language/Date/DaySuffix/5",
"text": "th"
},
"$:/language/Date/DaySuffix/6": {
"title": "$:/language/Date/DaySuffix/6",
"text": "th"
},
"$:/language/Date/DaySuffix/7": {
"title": "$:/language/Date/DaySuffix/7",
"text": "th"
},
"$:/language/Date/DaySuffix/8": {
"title": "$:/language/Date/DaySuffix/8",
"text": "th"
},
"$:/language/Date/DaySuffix/9": {
"title": "$:/language/Date/DaySuffix/9",
"text": "th"
},
"$:/language/Date/DaySuffix/10": {
"title": "$:/language/Date/DaySuffix/10",
"text": "th"
},
"$:/language/Date/DaySuffix/11": {
"title": "$:/language/Date/DaySuffix/11",
"text": "th"
},
"$:/language/Date/DaySuffix/12": {
"title": "$:/language/Date/DaySuffix/12",
"text": "th"
},
"$:/language/Date/DaySuffix/13": {
"title": "$:/language/Date/DaySuffix/13",
"text": "th"
},
"$:/language/Date/DaySuffix/14": {
"title": "$:/language/Date/DaySuffix/14",
"text": "th"
},
"$:/language/Date/DaySuffix/15": {
"title": "$:/language/Date/DaySuffix/15",
"text": "th"
},
"$:/language/Date/DaySuffix/16": {
"title": "$:/language/Date/DaySuffix/16",
"text": "th"
},
"$:/language/Date/DaySuffix/17": {
"title": "$:/language/Date/DaySuffix/17",
"text": "th"
},
"$:/language/Date/DaySuffix/18": {
"title": "$:/language/Date/DaySuffix/18",
"text": "th"
},
"$:/language/Date/DaySuffix/19": {
"title": "$:/language/Date/DaySuffix/19",
"text": "th"
},
"$:/language/Date/DaySuffix/20": {
"title": "$:/language/Date/DaySuffix/20",
"text": "th"
},
"$:/language/Date/DaySuffix/21": {
"title": "$:/language/Date/DaySuffix/21",
"text": "st"
},
"$:/language/Date/DaySuffix/22": {
"title": "$:/language/Date/DaySuffix/22",
"text": "nd"
},
"$:/language/Date/DaySuffix/23": {
"title": "$:/language/Date/DaySuffix/23",
"text": "rd"
},
"$:/language/Date/DaySuffix/24": {
"title": "$:/language/Date/DaySuffix/24",
"text": "th"
},
"$:/language/Date/DaySuffix/25": {
"title": "$:/language/Date/DaySuffix/25",
"text": "th"
},
"$:/language/Date/DaySuffix/26": {
"title": "$:/language/Date/DaySuffix/26",
"text": "th"
},
"$:/language/Date/DaySuffix/27": {
"title": "$:/language/Date/DaySuffix/27",
"text": "th"
},
"$:/language/Date/DaySuffix/28": {
"title": "$:/language/Date/DaySuffix/28",
"text": "th"
},
"$:/language/Date/DaySuffix/29": {
"title": "$:/language/Date/DaySuffix/29",
"text": "th"
},
"$:/language/Date/DaySuffix/30": {
"title": "$:/language/Date/DaySuffix/30",
"text": "th"
},
"$:/language/Date/DaySuffix/31": {
"title": "$:/language/Date/DaySuffix/31",
"text": "st"
},
"$:/language/Date/Long/Day/0": {
"title": "$:/language/Date/Long/Day/0",
"text": "Sunday"
},
"$:/language/Date/Long/Day/1": {
"title": "$:/language/Date/Long/Day/1",
"text": "Monday"
},
"$:/language/Date/Long/Day/2": {
"title": "$:/language/Date/Long/Day/2",
"text": "Tuesday"
},
"$:/language/Date/Long/Day/3": {
"title": "$:/language/Date/Long/Day/3",
"text": "Wednesday"
},
"$:/language/Date/Long/Day/4": {
"title": "$:/language/Date/Long/Day/4",
"text": "Thursday"
},
"$:/language/Date/Long/Day/5": {
"title": "$:/language/Date/Long/Day/5",
"text": "Friday"
},
"$:/language/Date/Long/Day/6": {
"title": "$:/language/Date/Long/Day/6",
"text": "Saturday"
},
"$:/language/Date/Long/Month/1": {
"title": "$:/language/Date/Long/Month/1",
"text": "January"
},
"$:/language/Date/Long/Month/2": {
"title": "$:/language/Date/Long/Month/2",
"text": "February"
},
"$:/language/Date/Long/Month/3": {
"title": "$:/language/Date/Long/Month/3",
"text": "March"
},
"$:/language/Date/Long/Month/4": {
"title": "$:/language/Date/Long/Month/4",
"text": "April"
},
"$:/language/Date/Long/Month/5": {
"title": "$:/language/Date/Long/Month/5",
"text": "May"
},
"$:/language/Date/Long/Month/6": {
"title": "$:/language/Date/Long/Month/6",
"text": "June"
},
"$:/language/Date/Long/Month/7": {
"title": "$:/language/Date/Long/Month/7",
"text": "July"
},
"$:/language/Date/Long/Month/8": {
"title": "$:/language/Date/Long/Month/8",
"text": "August"
},
"$:/language/Date/Long/Month/9": {
"title": "$:/language/Date/Long/Month/9",
"text": "September"
},
"$:/language/Date/Long/Month/10": {
"title": "$:/language/Date/Long/Month/10",
"text": "October"
},
"$:/language/Date/Long/Month/11": {
"title": "$:/language/Date/Long/Month/11",
"text": "November"
},
"$:/language/Date/Long/Month/12": {
"title": "$:/language/Date/Long/Month/12",
"text": "December"
},
"$:/language/Date/Period/am": {
"title": "$:/language/Date/Period/am",
"text": "am"
},
"$:/language/Date/Period/pm": {
"title": "$:/language/Date/Period/pm",
"text": "pm"
},
"$:/language/Date/Short/Day/0": {
"title": "$:/language/Date/Short/Day/0",
"text": "Sun"
},
"$:/language/Date/Short/Day/1": {
"title": "$:/language/Date/Short/Day/1",
"text": "Mon"
},
"$:/language/Date/Short/Day/2": {
"title": "$:/language/Date/Short/Day/2",
"text": "Tue"
},
"$:/language/Date/Short/Day/3": {
"title": "$:/language/Date/Short/Day/3",
"text": "Wed"
},
"$:/language/Date/Short/Day/4": {
"title": "$:/language/Date/Short/Day/4",
"text": "Thu"
},
"$:/language/Date/Short/Day/5": {
"title": "$:/language/Date/Short/Day/5",
"text": "Fri"
},
"$:/language/Date/Short/Day/6": {
"title": "$:/language/Date/Short/Day/6",
"text": "Sat"
},
"$:/language/Date/Short/Month/1": {
"title": "$:/language/Date/Short/Month/1",
"text": "Jan"
},
"$:/language/Date/Short/Month/2": {
"title": "$:/language/Date/Short/Month/2",
"text": "Feb"
},
"$:/language/Date/Short/Month/3": {
"title": "$:/language/Date/Short/Month/3",
"text": "Mar"
},
"$:/language/Date/Short/Month/4": {
"title": "$:/language/Date/Short/Month/4",
"text": "Apr"
},
"$:/language/Date/Short/Month/5": {
"title": "$:/language/Date/Short/Month/5",
"text": "May"
},
"$:/language/Date/Short/Month/6": {
"title": "$:/language/Date/Short/Month/6",
"text": "Jun"
},
"$:/language/Date/Short/Month/7": {
"title": "$:/language/Date/Short/Month/7",
"text": "Jul"
},
"$:/language/Date/Short/Month/8": {
"title": "$:/language/Date/Short/Month/8",
"text": "Aug"
},
"$:/language/Date/Short/Month/9": {
"title": "$:/language/Date/Short/Month/9",
"text": "Sep"
},
"$:/language/Date/Short/Month/10": {
"title": "$:/language/Date/Short/Month/10",
"text": "Oct"
},
"$:/language/Date/Short/Month/11": {
"title": "$:/language/Date/Short/Month/11",
"text": "Nov"
},
"$:/language/Date/Short/Month/12": {
"title": "$:/language/Date/Short/Month/12",
"text": "Dec"
},
"$:/language/RelativeDate/Future/Days": {
"title": "$:/language/RelativeDate/Future/Days",
"text": "<<period>> days from now"
},
"$:/language/RelativeDate/Future/Hours": {
"title": "$:/language/RelativeDate/Future/Hours",
"text": "<<period>> hours from now"
},
"$:/language/RelativeDate/Future/Minutes": {
"title": "$:/language/RelativeDate/Future/Minutes",
"text": "<<period>> minutes from now"
},
"$:/language/RelativeDate/Future/Months": {
"title": "$:/language/RelativeDate/Future/Months",
"text": "<<period>> months from now"
},
"$:/language/RelativeDate/Future/Second": {
"title": "$:/language/RelativeDate/Future/Second",
"text": "1 second from now"
},
"$:/language/RelativeDate/Future/Seconds": {
"title": "$:/language/RelativeDate/Future/Seconds",
"text": "<<period>> seconds from now"
},
"$:/language/RelativeDate/Future/Years": {
"title": "$:/language/RelativeDate/Future/Years",
"text": "<<period>> years from now"
},
"$:/language/RelativeDate/Past/Days": {
"title": "$:/language/RelativeDate/Past/Days",
"text": "<<period>> days ago"
},
"$:/language/RelativeDate/Past/Hours": {
"title": "$:/language/RelativeDate/Past/Hours",
"text": "<<period>> hours ago"
},
"$:/language/RelativeDate/Past/Minutes": {
"title": "$:/language/RelativeDate/Past/Minutes",
"text": "<<period>> minutes ago"
},
"$:/language/RelativeDate/Past/Months": {
"title": "$:/language/RelativeDate/Past/Months",
"text": "<<period>> months ago"
},
"$:/language/RelativeDate/Past/Second": {
"title": "$:/language/RelativeDate/Past/Second",
"text": "1 second ago"
},
"$:/language/RelativeDate/Past/Seconds": {
"title": "$:/language/RelativeDate/Past/Seconds",
"text": "<<period>> seconds ago"
},
"$:/language/RelativeDate/Past/Years": {
"title": "$:/language/RelativeDate/Past/Years",
"text": "<<period>> years ago"
},
"$:/language/Docs/ModuleTypes/animation": {
"title": "$:/language/Docs/ModuleTypes/animation",
"text": "Animations that may be used with the RevealWidget."
},
"$:/language/Docs/ModuleTypes/command": {
"title": "$:/language/Docs/ModuleTypes/command",
"text": "Commands that can be executed under Node.js."
},
"$:/language/Docs/ModuleTypes/config": {
"title": "$:/language/Docs/ModuleTypes/config",
"text": "Data to be inserted into `$tw.config`."
},
"$:/language/Docs/ModuleTypes/filteroperator": {
"title": "$:/language/Docs/ModuleTypes/filteroperator",
"text": "Individual filter operator methods."
},
"$:/language/Docs/ModuleTypes/global": {
"title": "$:/language/Docs/ModuleTypes/global",
"text": "Global data to be inserted into `$tw`."
},
"$:/language/Docs/ModuleTypes/isfilteroperator": {
"title": "$:/language/Docs/ModuleTypes/isfilteroperator",
"text": "Operands for the ''is'' filter operator."
},
"$:/language/Docs/ModuleTypes/macro": {
"title": "$:/language/Docs/ModuleTypes/macro",
"text": "JavaScript macro definitions."
},
"$:/language/Docs/ModuleTypes/parser": {
"title": "$:/language/Docs/ModuleTypes/parser",
"text": "Parsers for different content types."
},
"$:/language/Docs/ModuleTypes/saver": {
"title": "$:/language/Docs/ModuleTypes/saver",
"text": "Savers handle different methods for saving files from the browser."
},
"$:/language/Docs/ModuleTypes/startup": {
"title": "$:/language/Docs/ModuleTypes/startup",
"text": "Startup functions."
},
"$:/language/Docs/ModuleTypes/storyview": {
"title": "$:/language/Docs/ModuleTypes/storyview",
"text": "Story views customise the animation and behaviour of list widgets."
},
"$:/language/Docs/ModuleTypes/tiddlerdeserializer": {
"title": "$:/language/Docs/ModuleTypes/tiddlerdeserializer",
"text": "Converts different content types into tiddlers."
},
"$:/language/Docs/ModuleTypes/tiddlerfield": {
"title": "$:/language/Docs/ModuleTypes/tiddlerfield",
"text": "Defines the behaviour of an individual tiddler field."
},
"$:/language/Docs/ModuleTypes/tiddlermethod": {
"title": "$:/language/Docs/ModuleTypes/tiddlermethod",
"text": "Adds methods to the `$tw.Tiddler` prototype."
},
"$:/language/Docs/ModuleTypes/upgrader": {
"title": "$:/language/Docs/ModuleTypes/upgrader",
"text": "Applies upgrade processing to tiddlers during an upgrade/import."
},
"$:/language/Docs/ModuleTypes/utils": {
"title": "$:/language/Docs/ModuleTypes/utils",
"text": "Adds methods to `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/utils-node": {
"title": "$:/language/Docs/ModuleTypes/utils-node",
"text": "Adds Node.js-specific methods to `$tw.utils`."
},
"$:/language/Docs/ModuleTypes/widget": {
"title": "$:/language/Docs/ModuleTypes/widget",
"text": "Widgets encapsulate DOM rendering and refreshing."
},
"$:/language/Docs/ModuleTypes/wikimethod": {
"title": "$:/language/Docs/ModuleTypes/wikimethod",
"text": "Adds methods to `$tw.Wiki`."
},
"$:/language/Docs/ModuleTypes/wikirule": {
"title": "$:/language/Docs/ModuleTypes/wikirule",
"text": "Individual parser rules for the main WikiText parser."
},
"$:/language/Docs/PaletteColours/alert-background": {
"title": "$:/language/Docs/PaletteColours/alert-background",
"text": "Alert background"
},
"$:/language/Docs/PaletteColours/alert-border": {
"title": "$:/language/Docs/PaletteColours/alert-border",
"text": "Alert border"
},
"$:/language/Docs/PaletteColours/alert-highlight": {
"title": "$:/language/Docs/PaletteColours/alert-highlight",
"text": "Alert highlight"
},
"$:/language/Docs/PaletteColours/alert-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/alert-muted-foreground",
"text": "Alert muted foreground"
},
"$:/language/Docs/PaletteColours/background": {
"title": "$:/language/Docs/PaletteColours/background",
"text": "General background"
},
"$:/language/Docs/PaletteColours/blockquote-bar": {
"title": "$:/language/Docs/PaletteColours/blockquote-bar",
"text": "Blockquote bar"
},
"$:/language/Docs/PaletteColours/button-background": {
"title": "$:/language/Docs/PaletteColours/button-background",
"text": "Default button background"
},
"$:/language/Docs/PaletteColours/button-border": {
"title": "$:/language/Docs/PaletteColours/button-border",
"text": "Default button border"
},
"$:/language/Docs/PaletteColours/button-foreground": {
"title": "$:/language/Docs/PaletteColours/button-foreground",
"text": "Default button foreground"
},
"$:/language/Docs/PaletteColours/dirty-indicator": {
"title": "$:/language/Docs/PaletteColours/dirty-indicator",
"text": "Unsaved changes indicator"
},
"$:/language/Docs/PaletteColours/code-background": {
"title": "$:/language/Docs/PaletteColours/code-background",
"text": "Code background"
},
"$:/language/Docs/PaletteColours/code-border": {
"title": "$:/language/Docs/PaletteColours/code-border",
"text": "Code border"
},
"$:/language/Docs/PaletteColours/code-foreground": {
"title": "$:/language/Docs/PaletteColours/code-foreground",
"text": "Code foreground"
},
"$:/language/Docs/PaletteColours/download-background": {
"title": "$:/language/Docs/PaletteColours/download-background",
"text": "Download button background"
},
"$:/language/Docs/PaletteColours/download-foreground": {
"title": "$:/language/Docs/PaletteColours/download-foreground",
"text": "Download button foreground"
},
"$:/language/Docs/PaletteColours/dragger-background": {
"title": "$:/language/Docs/PaletteColours/dragger-background",
"text": "Dragger background"
},
"$:/language/Docs/PaletteColours/dragger-foreground": {
"title": "$:/language/Docs/PaletteColours/dragger-foreground",
"text": "Dragger foreground"
},
"$:/language/Docs/PaletteColours/dropdown-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-background",
"text": "Dropdown background"
},
"$:/language/Docs/PaletteColours/dropdown-border": {
"title": "$:/language/Docs/PaletteColours/dropdown-border",
"text": "Dropdown border"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background-selected",
"text": "Dropdown tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/dropdown-tab-background": {
"title": "$:/language/Docs/PaletteColours/dropdown-tab-background",
"text": "Dropdown tab background"
},
"$:/language/Docs/PaletteColours/dropzone-background": {
"title": "$:/language/Docs/PaletteColours/dropzone-background",
"text": "Dropzone background"
},
"$:/language/Docs/PaletteColours/external-link-background-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-background-hover",
"text": "External link background hover"
},
"$:/language/Docs/PaletteColours/external-link-background-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-background-visited",
"text": "External link background visited"
},
"$:/language/Docs/PaletteColours/external-link-background": {
"title": "$:/language/Docs/PaletteColours/external-link-background",
"text": "External link background"
},
"$:/language/Docs/PaletteColours/external-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-hover",
"text": "External link foreground hover"
},
"$:/language/Docs/PaletteColours/external-link-foreground-visited": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground-visited",
"text": "External link foreground visited"
},
"$:/language/Docs/PaletteColours/external-link-foreground": {
"title": "$:/language/Docs/PaletteColours/external-link-foreground",
"text": "External link foreground"
},
"$:/language/Docs/PaletteColours/foreground": {
"title": "$:/language/Docs/PaletteColours/foreground",
"text": "General foreground"
},
"$:/language/Docs/PaletteColours/message-background": {
"title": "$:/language/Docs/PaletteColours/message-background",
"text": "Message box background"
},
"$:/language/Docs/PaletteColours/message-border": {
"title": "$:/language/Docs/PaletteColours/message-border",
"text": "Message box border"
},
"$:/language/Docs/PaletteColours/message-foreground": {
"title": "$:/language/Docs/PaletteColours/message-foreground",
"text": "Message box foreground"
},
"$:/language/Docs/PaletteColours/modal-backdrop": {
"title": "$:/language/Docs/PaletteColours/modal-backdrop",
"text": "Modal backdrop"
},
"$:/language/Docs/PaletteColours/modal-background": {
"title": "$:/language/Docs/PaletteColours/modal-background",
"text": "Modal background"
},
"$:/language/Docs/PaletteColours/modal-border": {
"title": "$:/language/Docs/PaletteColours/modal-border",
"text": "Modal border"
},
"$:/language/Docs/PaletteColours/modal-footer-background": {
"title": "$:/language/Docs/PaletteColours/modal-footer-background",
"text": "Modal footer background"
},
"$:/language/Docs/PaletteColours/modal-footer-border": {
"title": "$:/language/Docs/PaletteColours/modal-footer-border",
"text": "Modal footer border"
},
"$:/language/Docs/PaletteColours/modal-header-border": {
"title": "$:/language/Docs/PaletteColours/modal-header-border",
"text": "Modal header border"
},
"$:/language/Docs/PaletteColours/muted-foreground": {
"title": "$:/language/Docs/PaletteColours/muted-foreground",
"text": "General muted foreground"
},
"$:/language/Docs/PaletteColours/notification-background": {
"title": "$:/language/Docs/PaletteColours/notification-background",
"text": "Notification background"
},
"$:/language/Docs/PaletteColours/notification-border": {
"title": "$:/language/Docs/PaletteColours/notification-border",
"text": "Notification border"
},
"$:/language/Docs/PaletteColours/page-background": {
"title": "$:/language/Docs/PaletteColours/page-background",
"text": "Page background"
},
"$:/language/Docs/PaletteColours/pre-background": {
"title": "$:/language/Docs/PaletteColours/pre-background",
"text": "Preformatted code background"
},
"$:/language/Docs/PaletteColours/pre-border": {
"title": "$:/language/Docs/PaletteColours/pre-border",
"text": "Preformatted code border"
},
"$:/language/Docs/PaletteColours/primary": {
"title": "$:/language/Docs/PaletteColours/primary",
"text": "General primary"
},
"$:/language/Docs/PaletteColours/sidebar-button-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-button-foreground",
"text": "Sidebar button foreground"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground-hover",
"text": "Sidebar controls foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-controls-foreground",
"text": "Sidebar controls foreground"
},
"$:/language/Docs/PaletteColours/sidebar-foreground-shadow": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground-shadow",
"text": "Sidebar foreground shadow"
},
"$:/language/Docs/PaletteColours/sidebar-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-foreground",
"text": "Sidebar foreground"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground-hover",
"text": "Sidebar muted foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-muted-foreground",
"text": "Sidebar muted foreground"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background-selected",
"text": "Sidebar tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-background": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-background",
"text": "Sidebar tab background"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border-selected",
"text": "Sidebar tab border for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-border": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-border",
"text": "Sidebar tab border"
},
"$:/language/Docs/PaletteColours/sidebar-tab-divider": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-divider",
"text": "Sidebar tab divider"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground-selected",
"text": "Sidebar tab foreground for selected tabs"
},
"$:/language/Docs/PaletteColours/sidebar-tab-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tab-foreground",
"text": "Sidebar tab foreground"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground-hover",
"text": "Sidebar tiddler link foreground hover"
},
"$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/sidebar-tiddler-link-foreground",
"text": "Sidebar tiddler link foreground"
},
"$:/language/Docs/PaletteColours/site-title-foreground": {
"title": "$:/language/Docs/PaletteColours/site-title-foreground",
"text": "Site title foreground"
},
"$:/language/Docs/PaletteColours/static-alert-foreground": {
"title": "$:/language/Docs/PaletteColours/static-alert-foreground",
"text": "Static alert foreground"
},
"$:/language/Docs/PaletteColours/tab-background-selected": {
"title": "$:/language/Docs/PaletteColours/tab-background-selected",
"text": "Tab background for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-background": {
"title": "$:/language/Docs/PaletteColours/tab-background",
"text": "Tab background"
},
"$:/language/Docs/PaletteColours/tab-border-selected": {
"title": "$:/language/Docs/PaletteColours/tab-border-selected",
"text": "Tab border for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-border": {
"title": "$:/language/Docs/PaletteColours/tab-border",
"text": "Tab border"
},
"$:/language/Docs/PaletteColours/tab-divider": {
"title": "$:/language/Docs/PaletteColours/tab-divider",
"text": "Tab divider"
},
"$:/language/Docs/PaletteColours/tab-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tab-foreground-selected",
"text": "Tab foreground for selected tabs"
},
"$:/language/Docs/PaletteColours/tab-foreground": {
"title": "$:/language/Docs/PaletteColours/tab-foreground",
"text": "Tab foreground"
},
"$:/language/Docs/PaletteColours/table-border": {
"title": "$:/language/Docs/PaletteColours/table-border",
"text": "Table border"
},
"$:/language/Docs/PaletteColours/table-footer-background": {
"title": "$:/language/Docs/PaletteColours/table-footer-background",
"text": "Table footer background"
},
"$:/language/Docs/PaletteColours/table-header-background": {
"title": "$:/language/Docs/PaletteColours/table-header-background",
"text": "Table header background"
},
"$:/language/Docs/PaletteColours/tag-background": {
"title": "$:/language/Docs/PaletteColours/tag-background",
"text": "Tag background"
},
"$:/language/Docs/PaletteColours/tag-foreground": {
"title": "$:/language/Docs/PaletteColours/tag-foreground",
"text": "Tag foreground"
},
"$:/language/Docs/PaletteColours/tiddler-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-background",
"text": "Tiddler background"
},
"$:/language/Docs/PaletteColours/tiddler-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-border",
"text": "Tiddler border"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-hover",
"text": "Tiddler controls foreground hover"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground-selected",
"text": "Tiddler controls foreground for selected controls"
},
"$:/language/Docs/PaletteColours/tiddler-controls-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-controls-foreground",
"text": "Tiddler controls foreground"
},
"$:/language/Docs/PaletteColours/tiddler-editor-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-background",
"text": "Tiddler editor background"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border-image": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border-image",
"text": "Tiddler editor border image"
},
"$:/language/Docs/PaletteColours/tiddler-editor-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-border",
"text": "Tiddler editor border"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-even": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-even",
"text": "Tiddler editor background for even fields"
},
"$:/language/Docs/PaletteColours/tiddler-editor-fields-odd": {
"title": "$:/language/Docs/PaletteColours/tiddler-editor-fields-odd",
"text": "Tiddler editor background for odd fields"
},
"$:/language/Docs/PaletteColours/tiddler-info-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-background",
"text": "Tiddler info panel background"
},
"$:/language/Docs/PaletteColours/tiddler-info-border": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-border",
"text": "Tiddler info panel border"
},
"$:/language/Docs/PaletteColours/tiddler-info-tab-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-info-tab-background",
"text": "Tiddler info panel tab background"
},
"$:/language/Docs/PaletteColours/tiddler-link-background": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-background",
"text": "Tiddler link background"
},
"$:/language/Docs/PaletteColours/tiddler-link-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-link-foreground",
"text": "Tiddler link foreground"
},
"$:/language/Docs/PaletteColours/tiddler-subtitle-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-subtitle-foreground",
"text": "Tiddler subtitle foreground"
},
"$:/language/Docs/PaletteColours/tiddler-title-foreground": {
"title": "$:/language/Docs/PaletteColours/tiddler-title-foreground",
"text": "Tiddler title foreground"
},
"$:/language/Docs/PaletteColours/toolbar-new-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-new-button",
"text": "Toolbar 'new tiddler' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-options-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-options-button",
"text": "Toolbar 'options' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-save-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-save-button",
"text": "Toolbar 'save' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-info-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-info-button",
"text": "Toolbar 'info' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-edit-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-edit-button",
"text": "Toolbar 'edit' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-close-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-close-button",
"text": "Toolbar 'close' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-delete-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-delete-button",
"text": "Toolbar 'delete' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-cancel-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-cancel-button",
"text": "Toolbar 'cancel' button foreground"
},
"$:/language/Docs/PaletteColours/toolbar-done-button": {
"title": "$:/language/Docs/PaletteColours/toolbar-done-button",
"text": "Toolbar 'done' button foreground"
},
"$:/language/Docs/PaletteColours/untagged-background": {
"title": "$:/language/Docs/PaletteColours/untagged-background",
"text": "Untagged pill background"
},
"$:/language/Docs/PaletteColours/very-muted-foreground": {
"title": "$:/language/Docs/PaletteColours/very-muted-foreground",
"text": "Very muted foreground"
},
"$:/language/EditTemplate/Body/External/Hint": {
"title": "$:/language/EditTemplate/Body/External/Hint",
"text": "This is an external tiddler stored outside of the main TiddlyWiki file. You can edit the tags and fields but cannot directly edit the content itself"
},
"$:/language/EditTemplate/Body/Hint": {
"title": "$:/language/EditTemplate/Body/Hint",
"text": "Use [[wiki text|http://tiddlywiki.com/static/WikiText.html]] to add formatting, images, and dynamic features"
},
"$:/language/EditTemplate/Body/Placeholder": {
"title": "$:/language/EditTemplate/Body/Placeholder",
"text": "Type the text for this tiddler"
},
"$:/language/EditTemplate/Body/Preview/Button/Hide": {
"title": "$:/language/EditTemplate/Body/Preview/Button/Hide",
"text": "hide preview"
},
"$:/language/EditTemplate/Body/Preview/Button/Show": {
"title": "$:/language/EditTemplate/Body/Preview/Button/Show",
"text": "show preview"
},
"$:/language/EditTemplate/Field/Remove/Caption": {
"title": "$:/language/EditTemplate/Field/Remove/Caption",
"text": "remove field"
},
"$:/language/EditTemplate/Field/Remove/Hint": {
"title": "$:/language/EditTemplate/Field/Remove/Hint",
"text": "Remove field"
},
"$:/language/EditTemplate/Fields/Add/Button": {
"title": "$:/language/EditTemplate/Fields/Add/Button",
"text": "add"
},
"$:/language/EditTemplate/Fields/Add/Name/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Name/Placeholder",
"text": "field name"
},
"$:/language/EditTemplate/Fields/Add/Prompt": {
"title": "$:/language/EditTemplate/Fields/Add/Prompt",
"text": "Add a new field:"
},
"$:/language/EditTemplate/Fields/Add/Value/Placeholder": {
"title": "$:/language/EditTemplate/Fields/Add/Value/Placeholder",
"text": "field value"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/System": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/System",
"text": "System fields"
},
"$:/language/EditTemplate/Fields/Add/Dropdown/User": {
"title": "$:/language/EditTemplate/Fields/Add/Dropdown/User",
"text": "User fields"
},
"$:/language/EditTemplate/Shadow/Warning": {
"title": "$:/language/EditTemplate/Shadow/Warning",
"text": "This is a shadow tiddler. Any changes you make will override the default version from the plugin <<pluginLink>>"
},
"$:/language/EditTemplate/Shadow/OverriddenWarning": {
"title": "$:/language/EditTemplate/Shadow/OverriddenWarning",
"text": "This is a modified shadow tiddler. You can revert to the default version in the plugin <<pluginLink>> by deleting this tiddler"
},
"$:/language/EditTemplate/Tags/Add/Button": {
"title": "$:/language/EditTemplate/Tags/Add/Button",
"text": "add"
},
"$:/language/EditTemplate/Tags/Add/Placeholder": {
"title": "$:/language/EditTemplate/Tags/Add/Placeholder",
"text": "tag name"
},
"$:/language/EditTemplate/Tags/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Caption",
"text": "tag list"
},
"$:/language/EditTemplate/Tags/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Tags/Dropdown/Hint",
"text": "Show tag list"
},
"$:/language/EditTemplate/Type/Dropdown/Caption": {
"title": "$:/language/EditTemplate/Type/Dropdown/Caption",
"text": "content type list"
},
"$:/language/EditTemplate/Type/Dropdown/Hint": {
"title": "$:/language/EditTemplate/Type/Dropdown/Hint",
"text": "Show content type list"
},
"$:/language/EditTemplate/Type/Delete/Caption": {
"title": "$:/language/EditTemplate/Type/Delete/Caption",
"text": "delete content type"
},
"$:/language/EditTemplate/Type/Delete/Hint": {
"title": "$:/language/EditTemplate/Type/Delete/Hint",
"text": "Delete content type"
},
"$:/language/EditTemplate/Type/Placeholder": {
"title": "$:/language/EditTemplate/Type/Placeholder",
"text": "content type"
},
"$:/language/EditTemplate/Type/Prompt": {
"title": "$:/language/EditTemplate/Type/Prompt",
"text": "Type:"
},
"$:/language/Exporters/StaticRiver": {
"title": "$:/language/Exporters/StaticRiver",
"text": "Static HTML"
},
"$:/language/Exporters/JsonFile": {
"title": "$:/language/Exporters/JsonFile",
"text": "JSON file"
},
"$:/language/Exporters/CsvFile": {
"title": "$:/language/Exporters/CsvFile",
"text": "CSV file"
},
"$:/language/Exporters/TidFile": {
"title": "$:/language/Exporters/TidFile",
"text": "\".tid\" file"
},
"$:/language/Docs/Fields/_canonical_uri": {
"title": "$:/language/Docs/Fields/_canonical_uri",
"text": "The full URI of an external image tiddler"
},
"$:/language/Docs/Fields/bag": {
"title": "$:/language/Docs/Fields/bag",
"text": "The name of the bag from which a tiddler came"
},
"$:/language/Docs/Fields/caption": {
"title": "$:/language/Docs/Fields/caption",
"text": "The text to be displayed on a tab or button"
},
"$:/language/Docs/Fields/color": {
"title": "$:/language/Docs/Fields/color",
"text": "The CSS color value associated with a tiddler"
},
"$:/language/Docs/Fields/component": {
"title": "$:/language/Docs/Fields/component",
"text": "The name of the component responsible for an [[alert tiddler|AlertMechanism]]"
},
"$:/language/Docs/Fields/current-tiddler": {
"title": "$:/language/Docs/Fields/current-tiddler",
"text": "Used to cache the top tiddler in a [[history list|HistoryMechanism]]"
},
"$:/language/Docs/Fields/created": {
"title": "$:/language/Docs/Fields/created",
"text": "The date a tiddler was created"
},
"$:/language/Docs/Fields/creator": {
"title": "$:/language/Docs/Fields/creator",
"text": "The name of the person who created a tiddler"
},
"$:/language/Docs/Fields/dependents": {
"title": "$:/language/Docs/Fields/dependents",
"text": "For a plugin, lists the dependent plugin titles"
},
"$:/language/Docs/Fields/description": {
"title": "$:/language/Docs/Fields/description",
"text": "The descriptive text for a plugin, or a modal dialogue"
},
"$:/language/Docs/Fields/draft.of": {
"title": "$:/language/Docs/Fields/draft.of",
"text": "For draft tiddlers, contains the title of the tiddler of which this is a draft"
},
"$:/language/Docs/Fields/draft.title": {
"title": "$:/language/Docs/Fields/draft.title",
"text": "For draft tiddlers, contains the proposed new title of the tiddler"
},
"$:/language/Docs/Fields/footer": {
"title": "$:/language/Docs/Fields/footer",
"text": "The footer text for a wizard"
},
"$:/language/Docs/Fields/hack-to-give-us-something-to-compare-against": {
"title": "$:/language/Docs/Fields/hack-to-give-us-something-to-compare-against",
"text": "A temporary storage field used in [[$:/core/templates/static.content]]"
},
"$:/language/Docs/Fields/icon": {
"title": "$:/language/Docs/Fields/icon",
"text": "The title of the tiddler containing the icon associated with a tiddler"
},
"$:/language/Docs/Fields/library": {
"title": "$:/language/Docs/Fields/library",
"text": "If set to \"yes\" indicates that a tiddler should be saved as a JavaScript library"
},
"$:/language/Docs/Fields/list": {
"title": "$:/language/Docs/Fields/list",
"text": "An ordered list of tiddler titles associated with a tiddler"
},
"$:/language/Docs/Fields/list-before": {
"title": "$:/language/Docs/Fields/list-before",
"text": "If set, the title of a tiddler before which this tiddler should be added to the ordered list of tiddler titles, or at the start of the list if this field is present but empty"
},
"$:/language/Docs/Fields/list-after": {
"title": "$:/language/Docs/Fields/list-after",
"text": "If set, the title of the tiddler after which this tiddler should be added to the ordered list of tiddler titles"
},
"$:/language/Docs/Fields/modified": {
"title": "$:/language/Docs/Fields/modified",
"text": "The date and time at which a tiddler was last modified"
},
"$:/language/Docs/Fields/modifier": {
"title": "$:/language/Docs/Fields/modifier",
"text": "The tiddler title associated with the person who last modified a tiddler"
},
"$:/language/Docs/Fields/name": {
"title": "$:/language/Docs/Fields/name",
"text": "The human readable name associated with a plugin tiddler"
},
"$:/language/Docs/Fields/plugin-priority": {
"title": "$:/language/Docs/Fields/plugin-priority",
"text": "A numerical value indicating the priority of a plugin tiddler"
},
"$:/language/Docs/Fields/plugin-type": {
"title": "$:/language/Docs/Fields/plugin-type",
"text": "The type of plugin in a plugin tiddler"
},
"$:/language/Docs/Fields/revision": {
"title": "$:/language/Docs/Fields/revision",
"text": "The revision of the tiddler held at the server"
},
"$:/language/Docs/Fields/released": {
"title": "$:/language/Docs/Fields/released",
"text": "Date of a TiddlyWiki release"
},
"$:/language/Docs/Fields/source": {
"title": "$:/language/Docs/Fields/source",
"text": "The source URL associated with a tiddler"
},
"$:/language/Docs/Fields/subtitle": {
"title": "$:/language/Docs/Fields/subtitle",
"text": "The subtitle text for a wizard"
},
"$:/language/Docs/Fields/tags": {
"title": "$:/language/Docs/Fields/tags",
"text": "A list of tags associated with a tiddler"
},
"$:/language/Docs/Fields/text": {
"title": "$:/language/Docs/Fields/text",
"text": "The body text of a tiddler"
},
"$:/language/Docs/Fields/title": {
"title": "$:/language/Docs/Fields/title",
"text": "The unique name of a tiddler"
},
"$:/language/Docs/Fields/type": {
"title": "$:/language/Docs/Fields/type",
"text": "The content type of a tiddler"
},
"$:/language/Docs/Fields/version": {
"title": "$:/language/Docs/Fields/version",
"text": "Version information for a plugin"
},
"$:/language/Filters/AllTiddlers": {
"title": "$:/language/Filters/AllTiddlers",
"text": "All tiddlers except system tiddlers"
},
"$:/language/Filters/RecentSystemTiddlers": {
"title": "$:/language/Filters/RecentSystemTiddlers",
"text": "Recently modified tiddlers, including system tiddlers"
},
"$:/language/Filters/RecentTiddlers": {
"title": "$:/language/Filters/RecentTiddlers",
"text": "Recently modified tiddlers"
},
"$:/language/Filters/AllTags": {
"title": "$:/language/Filters/AllTags",
"text": "All tags except system tags"
},
"$:/language/Filters/Missing": {
"title": "$:/language/Filters/Missing",
"text": "Missing tiddlers"
},
"$:/language/Filters/Drafts": {
"title": "$:/language/Filters/Drafts",
"text": "Draft tiddlers"
},
"$:/language/Filters/Orphans": {
"title": "$:/language/Filters/Orphans",
"text": "Orphan tiddlers"
},
"$:/language/Filters/SystemTiddlers": {
"title": "$:/language/Filters/SystemTiddlers",
"text": "System tiddlers"
},
"$:/language/Filters/ShadowTiddlers": {
"title": "$:/language/Filters/ShadowTiddlers",
"text": "Shadow tiddlers"
},
"$:/language/Filters/OverriddenShadowTiddlers": {
"title": "$:/language/Filters/OverriddenShadowTiddlers",
"text": "Overridden shadow tiddlers"
},
"$:/language/Filters/SystemTags": {
"title": "$:/language/Filters/SystemTags",
"text": "System tags"
},
"$:/language/Filters/TypedTiddlers": {
"title": "$:/language/Filters/TypedTiddlers",
"text": "Non wiki-text tiddlers"
},
"GettingStarted": {
"title": "GettingStarted",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\nWelcome to ~TiddlyWiki and the ~TiddlyWiki community\n\nBefore you start storing important information in ~TiddlyWiki it is important to make sure that you can reliably save changes. See http://tiddlywiki.com/#GettingStarted for details\n\n!! Set up this ~TiddlyWiki\n\n<div class=\"tc-control-panel\">\n\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit-text tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n</div>\n\nSee the [[control panel|$:/ControlPanel]] for more options.\n"
},
"$:/language/Help/build": {
"title": "$:/language/Help/build",
"description": "Automatically run configured commands",
"text": "Build the specified build targets for the current wiki. If no build targets are specified then all available targets will be built.\n\n```\n--build <target> [<target> ...]\n```\n\nBuild targets are defined in the `tiddlywiki.info` file of a wiki folder.\n\n"
},
"$:/language/Help/clearpassword": {
"title": "$:/language/Help/clearpassword",
"description": "Clear a password for subsequent crypto operations",
"text": "Clear the password for subsequent crypto operations\n\n```\n--clearpassword\n```\n"
},
"$:/language/Help/default": {
"title": "$:/language/Help/default",
"text": "\\define commandTitle()\n$:/language/Help/$(command)$\n\\end\n```\nusage: tiddlywiki [<wikifolder>] [--<command> [<args>...]...]\n```\n\nAvailable commands:\n\n<ul>\n<$list filter=\"[commands[]sort[title]]\" variable=\"command\">\n<li><$link to=<<commandTitle>>><$macrocall $name=\"command\" $type=\"text/plain\" $output=\"text/plain\"/></$link>: <$transclude tiddler=<<commandTitle>> field=\"description\"/></li>\n</$list>\n</ul>\n\nTo get detailed help on a command:\n\n```\ntiddlywiki --help <command>\n```\n"
},
"$:/language/Help/editions": {
"title": "$:/language/Help/editions",
"description": "Lists the available editions of TiddlyWiki",
"text": "Lists the names and descriptions of the available editions. You can create a new wiki of a specified edition with the `--init` command.\n\n```\n--editions\n```\n"
},
"$:/language/Help/help": {
"title": "$:/language/Help/help",
"description": "Display help for TiddlyWiki commands",
"text": "Displays help text for a command:\n\n```\n--help [<command>]\n```\n\nIf the command name is omitted then a list of available commands is displayed.\n"
},
"$:/language/Help/init": {
"title": "$:/language/Help/init",
"description": "Initialise a new wiki folder",
"text": "Initialise an empty [[WikiFolder|WikiFolders]] with a copy of the specified edition.\n\n```\n--init <edition> [<edition> ...]\n```\n\nFor example:\n\n```\ntiddlywiki ./MyWikiFolder --init empty\n```\n\nNote:\n\n* The wiki folder directory will be created if necessary\n* The \"edition\" defaults to ''empty''\n* The init command will fail if the wiki folder is not empty\n* The init command removes any `includeWikis` definitions in the edition's `tiddlywiki.info` file\n* When multiple editions are specified, editions initialised later will overwrite any files shared with earlier editions (so, the final `tiddlywiki.info` file will be copied from the last edition)\n* `--editions` returns a list of available editions\n"
},
"$:/language/Help/load": {
"title": "$:/language/Help/load",
"description": "Load tiddlers from a file",
"text": "Load tiddlers from 2.x.x TiddlyWiki files (`.html`), `.tiddler`, `.tid`, `.json` or other files\n\n```\n--load <filepath>\n```\n\nTo load tiddlers from an encrypted TiddlyWiki file you should first specify the password with the PasswordCommand. For example:\n\n```\ntiddlywiki ./MyWiki --password pa55w0rd --load my_encrypted_wiki.html\n```\n\nNote that TiddlyWiki will not load an older version of an already loaded plugin.\n"
},
"$:/language/Help/makelibrary": {
"title": "$:/language/Help/makelibrary",
"description": "Construct library plugin required by upgrade process",
"text": "Constructs the `$:/UpgradeLibrary` tiddler for the upgrade process.\n\nThe upgrade library is formatted as an ordinary plugin tiddler with the plugin type `library`. It contains a copy of each of the plugins, themes and language packs available within the TiddlyWiki5 repository.\n\nThis command is intended for internal use; it is only relevant to users constructing a custom upgrade procedure.\n\n```\n--makelibrary <title>\n```\n\nThe title argument defaults to `$:/UpgradeLibrary`.\n"
},
"$:/language/Help/notfound": {
"title": "$:/language/Help/notfound",
"text": "No such help item"
},
"$:/language/Help/output": {
"title": "$:/language/Help/output",
"description": "Set the base output directory for subsequent commands",
"text": "Sets the base output directory for subsequent commands. The default output directory is the `output` subdirectory of the edition directory.\n\n```\n--output <pathname>\n```\n\nIf the specified pathname is relative then it is resolved relative to the current working directory. For example `--output .` sets the output directory to the current working directory.\n\n"
},
"$:/language/Help/password": {
"title": "$:/language/Help/password",
"description": "Set a password for subsequent crypto operations",
"text": "Set a password for subsequent crypto operations\n\n```\n--password <password>\n```\n\n''Note'': This should not be used for serving TiddlyWiki with password protection. Instead, see the password option under the [[ServerCommand]].\n"
},
"$:/language/Help/rendertiddler": {
"title": "$:/language/Help/rendertiddler",
"description": "Render an individual tiddler as a specified ContentType",
"text": "Render an individual tiddler as a specified ContentType, defaulting to `text/html` and save it to the specified filename. Optionally a template can be specified, in which case the template tiddler is rendered with the \"currentTiddler\" variable set to the tiddler that is being rendered (the first parameter value).\n\n```\n--rendertiddler <title> <filename> [<type>] [<template>]\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n"
},
"$:/language/Help/rendertiddlers": {
"title": "$:/language/Help/rendertiddlers",
"description": "Render tiddlers matching a filter to a specified ContentType",
"text": "Render a set of tiddlers matching a filter to separate files of a specified ContentType (defaults to `text/html`) and extension (defaults to `.html`).\n\n```\n--rendertiddlers <filter> <template> <pathname> [<type>] [<extension>] [\"noclean\"]\n```\n\nFor example:\n\n```\n--rendertiddlers [!is[system]] $:/core/templates/static.tiddler.html ./static text/plain\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny files in the target directory are deleted unless the ''noclean'' flag is specified. The target directory is recursively created if it is missing.\n"
},
"$:/language/Help/savetiddler": {
"title": "$:/language/Help/savetiddler",
"description": "Saves a raw tiddler to a file",
"text": "Saves an individual tiddler in its raw text or binary format to the specified filename.\n\n```\n--savetiddler <title> <filename>\n```\n\nBy default, the filename is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nAny missing directories in the path to the filename are automatically created.\n"
},
"$:/language/Help/savetiddlers": {
"title": "$:/language/Help/savetiddlers",
"description": "Saves a group of raw tiddlers to a directory",
"text": "Saves a group of tiddlers in their raw text or binary format to the specified directory.\n\n```\n--savetiddlers <filter> <pathname> [\"noclean\"]\n```\n\nBy default, the pathname is resolved relative to the `output` subdirectory of the edition directory. The `--output` command can be used to direct output to a different directory.\n\nThe output directory is cleared of existing files before saving the specified files. The deletion can be disabled by specifying the ''noclean'' flag.\n\nAny missing directories in the pathname are automatically created.\n"
},
"$:/language/Help/server": {
"title": "$:/language/Help/server",
"description": "Provides an HTTP server interface to TiddlyWiki",
"text": "The server built in to TiddlyWiki5 is very simple. Although compatible with TiddlyWeb it doesn't support many of the features needed for robust Internet-facing usage.\n\nAt the root, it serves a rendering of a specified tiddler. Away from the root, it serves individual tiddlers encoded in JSON, and supports the basic HTTP operations for `GET`, `PUT` and `DELETE`.\n\n```\n--server <port> <roottiddler> <rendertype> <servetype> <username> <password> <host> <pathprefix>\n```\n\nThe parameters are:\n\n* ''port'' - port number to serve from (defaults to \"8080\")\n* ''roottiddler'' - the tiddler to serve at the root (defaults to \"$:/core/save/all\")\n* ''rendertype'' - the content type to which the root tiddler should be rendered (defaults to \"text/plain\")\n* ''servetype'' - the content type with which the root tiddler should be served (defaults to \"text/html\")\n* ''username'' - the default username for signing edits\n* ''password'' - optional password for basic authentication\n* ''host'' - optional hostname to serve from (defaults to \"127.0.0.1\" aka \"localhost\")\n* ''pathprefix'' - optional prefix for paths\n\nIf the password parameter is specified then the browser will prompt the user for the username and password. Note that the password is transmitted in plain text so this implementation isn't suitable for general use.\n\nFor example:\n\n```\n--server 8080 $:/core/save/all text/plain text/html MyUserName passw0rd\n```\n\nThe username and password can be specified as empty strings if you need to set the hostname or pathprefix and don't want to require a password:\n\n```\n--server 8080 $:/core/save/all text/plain text/html \"\" \"\" 192.168.0.245\n```\n\nTo run multiple TiddlyWiki servers at the same time you'll need to put each one on a different port.\n"
},
"$:/language/Help/setfield": {
"title": "$:/language/Help/setfield",
"description": "Prepares external tiddlers for use",
"text": "//Note that this command is experimental and may change or be replaced before being finalised//\n\nSets the specified field of a group of tiddlers to the result of wikifying a template tiddler with the `currentTiddler` variable set to the tiddler.\n\n```\n--setfield <filter> <fieldname> <templatetitle> <rendertype>\n```\n\nThe parameters are:\n\n* ''filter'' - filter identifying the tiddlers to be affected\n* ''fieldname'' - the field to modify (defaults to \"text\")\n* ''templatetitle'' - the tiddler to wikify into the specified field. If blank or missing then the specified field is deleted\n* ''rendertype'' - the text type to render (defaults to \"text/plain\"; \"text/html\" can be used to include HTML tags)\n"
},
"$:/language/Help/unpackplugin": {
"title": "$:/language/Help/unpackplugin",
"description": "Unpack the payload tiddlers from a plugin",
"text": "Extract the payload tiddlers from a plugin, creating them as ordinary tiddlers:\n\n```\n--unpackplugin <title>\n```\n"
},
"$:/language/Help/verbose": {
"title": "$:/language/Help/verbose",
"description": "Triggers verbose output mode",
"text": "Triggers verbose output, useful for debugging\n\n```\n--verbose\n```\n"
},
"$:/language/Help/version": {
"title": "$:/language/Help/version",
"description": "Displays the version number of TiddlyWiki",
"text": "Displays the version number of TiddlyWiki.\n\n```\n--version\n```\n"
},
"$:/language/Import/Imported": {
"title": "$:/language/Import/Imported",
"text": "The following tiddlers were imported:"
},
"$:/language/Import/Listing/Cancel/Caption": {
"title": "$:/language/Import/Listing/Cancel/Caption",
"text": "Cancel"
},
"$:/language/Import/Listing/Hint": {
"title": "$:/language/Import/Listing/Hint",
"text": "These tiddlers are ready to import:"
},
"$:/language/Import/Listing/Import/Caption": {
"title": "$:/language/Import/Listing/Import/Caption",
"text": "Import"
},
"$:/language/Import/Listing/Select/Caption": {
"title": "$:/language/Import/Listing/Select/Caption",
"text": "Select"
},
"$:/language/Import/Listing/Status/Caption": {
"title": "$:/language/Import/Listing/Status/Caption",
"text": "Status"
},
"$:/language/Import/Listing/Title/Caption": {
"title": "$:/language/Import/Listing/Title/Caption",
"text": "Title"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Incompatible",
"text": "Blocked incompatible or obsolete plugin"
},
"$:/language/Import/Upgrader/Plugins/Suppressed/Version": {
"title": "$:/language/Import/Upgrader/Plugins/Suppressed/Version",
"text": "Blocked plugin (due to incoming <<incoming>> being older than existing <<existing>>)"
},
"$:/language/Import/Upgrader/Plugins/Upgraded": {
"title": "$:/language/Import/Upgrader/Plugins/Upgraded",
"text": "Upgraded plugin from <<incoming>> to <<upgraded>>"
},
"$:/language/Import/Upgrader/State/Suppressed": {
"title": "$:/language/Import/Upgrader/State/Suppressed",
"text": "Blocked temporary state tiddler"
},
"$:/language/Import/Upgrader/System/Suppressed": {
"title": "$:/language/Import/Upgrader/System/Suppressed",
"text": "Blocked system tiddler"
},
"$:/language/Import/Upgrader/ThemeTweaks/Created": {
"title": "$:/language/Import/Upgrader/ThemeTweaks/Created",
"text": "Migrated theme tweak from <$text text=<<from>>/>"
},
"$:/language/AboveStory/ClassicPlugin/Warning": {
"title": "$:/language/AboveStory/ClassicPlugin/Warning",
"text": "It looks like you are trying to load a plugin designed for ~TiddlyWiki Classic. Please note that [[these plugins do not work with TiddlyWiki version 5.x.x|http://tiddlywiki.com/#TiddlyWikiClassic]]. ~TiddlyWiki Classic plugins detected:"
},
"$:/language/BinaryWarning/Prompt": {
"title": "$:/language/BinaryWarning/Prompt",
"text": "This tiddler contains binary data"
},
"$:/language/ClassicWarning/Hint": {
"title": "$:/language/ClassicWarning/Hint",
"text": "This tiddler is written in TiddlyWiki Classic wiki text format, which is not fully compatible with TiddlyWiki version 5. See http://tiddlywiki.com/static/Upgrading.html for more details."
},
"$:/language/ClassicWarning/Upgrade/Caption": {
"title": "$:/language/ClassicWarning/Upgrade/Caption",
"text": "upgrade"
},
"$:/language/CloseAll/Button": {
"title": "$:/language/CloseAll/Button",
"text": "close all"
},
"$:/language/ConfirmCancelTiddler": {
"title": "$:/language/ConfirmCancelTiddler",
"text": "Do you wish to discard changes to the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmDeleteTiddler": {
"title": "$:/language/ConfirmDeleteTiddler",
"text": "Do you wish to delete the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmOverwriteTiddler": {
"title": "$:/language/ConfirmOverwriteTiddler",
"text": "Do you wish to overwrite the tiddler \"<$text text=<<title>>/>\"?"
},
"$:/language/ConfirmEditShadowTiddler": {
"title": "$:/language/ConfirmEditShadowTiddler",
"text": "You are about to edit a ShadowTiddler. Any changes will override the default system making future upgrades non-trivial. Are you sure you want to edit \"<$text text=<<title>>/>\"?"
},
"$:/language/DefaultNewTiddlerTitle": {
"title": "$:/language/DefaultNewTiddlerTitle",
"text": "New Tiddler"
},
"$:/language/DropMessage": {
"title": "$:/language/DropMessage",
"text": "Drop here (or use the 'Escape' key to cancel)"
},
"$:/language/Encryption/Cancel": {
"title": "$:/language/Encryption/Cancel",
"text": "Cancel"
},
"$:/language/Encryption/ConfirmClearPassword": {
"title": "$:/language/Encryption/ConfirmClearPassword",
"text": "Do you wish to clear the password? This will remove the encryption applied when saving this wiki"
},
"$:/language/Encryption/PromptSetPassword": {
"title": "$:/language/Encryption/PromptSetPassword",
"text": "Set a new password for this TiddlyWiki"
},
"$:/language/Encryption/Username": {
"title": "$:/language/Encryption/Username",
"text": "Username"
},
"$:/language/Encryption/Password": {
"title": "$:/language/Encryption/Password",
"text": "Password"
},
"$:/language/Encryption/RepeatPassword": {
"title": "$:/language/Encryption/RepeatPassword",
"text": "Repeat password"
},
"$:/language/Encryption/PasswordNoMatch": {
"title": "$:/language/Encryption/PasswordNoMatch",
"text": "Passwords do not match"
},
"$:/language/Encryption/SetPassword": {
"title": "$:/language/Encryption/SetPassword",
"text": "Set password"
},
"$:/language/InternalJavaScriptError/Title": {
"title": "$:/language/InternalJavaScriptError/Title",
"text": "Internal JavaScript Error"
},
"$:/language/InternalJavaScriptError/Hint": {
"title": "$:/language/InternalJavaScriptError/Hint",
"text": "Well, this is embarrassing. It is recommended that you restart TiddlyWiki by refreshing your browser"
},
"$:/language/InvalidFieldName": {
"title": "$:/language/InvalidFieldName",
"text": "Illegal characters in field name \"<$text text=<<fieldName>>/>\". Fields can only contain lowercase letters, digits and the characters underscore (`_`), hyphen (`-`) and period (`.`)"
},
"$:/language/LazyLoadingWarning": {
"title": "$:/language/LazyLoadingWarning",
"text": "<p>Loading external text from ''<$text text={{!!_canonical_uri}}/>''</p><p>If this message doesn't disappear you may be using a browser that doesn't support external text in this configuration. See http://tiddlywiki.com/#ExternalText</p>"
},
"$:/language/MissingTiddler/Hint": {
"title": "$:/language/MissingTiddler/Hint",
"text": "Missing tiddler \"<$text text=<<currentTiddler>>/>\" - click {{$:/core/images/edit-button}} to create"
},
"$:/language/OfficialPluginLibrary": {
"title": "$:/language/OfficialPluginLibrary",
"text": "Official ~TiddlyWiki Plugin Library"
},
"$:/language/OfficialPluginLibrary/Hint": {
"title": "$:/language/OfficialPluginLibrary/Hint",
"text": "The official ~TiddlyWiki plugin library at tiddlywiki.com. Plugins, themes and language packs are maintained by the core team."
},
"$:/language/PluginReloadWarning": {
"title": "$:/language/PluginReloadWarning",
"text": "Please save {{$:/core/ui/Buttons/save-wiki}} and reload {{$:/core/ui/Buttons/refresh}} to allow changes to plugins to take effect"
},
"$:/language/RecentChanges/DateFormat": {
"title": "$:/language/RecentChanges/DateFormat",
"text": "DDth MMM YYYY"
},
"$:/language/SystemTiddler/Tooltip": {
"title": "$:/language/SystemTiddler/Tooltip",
"text": "This is a system tiddler"
},
"$:/language/TagManager/Colour/Heading": {
"title": "$:/language/TagManager/Colour/Heading",
"text": "Colour"
},
"$:/language/TagManager/Count/Heading": {
"title": "$:/language/TagManager/Count/Heading",
"text": "Count"
},
"$:/language/TagManager/Icon/Heading": {
"title": "$:/language/TagManager/Icon/Heading",
"text": "Icon"
},
"$:/language/TagManager/Info/Heading": {
"title": "$:/language/TagManager/Info/Heading",
"text": "Info"
},
"$:/language/TagManager/Tag/Heading": {
"title": "$:/language/TagManager/Tag/Heading",
"text": "Tag"
},
"$:/language/Tiddler/DateFormat": {
"title": "$:/language/Tiddler/DateFormat",
"text": "DDth MMM YYYY at hh12:0mmam"
},
"$:/language/UnsavedChangesWarning": {
"title": "$:/language/UnsavedChangesWarning",
"text": "You have unsaved changes in TiddlyWiki"
},
"$:/language/Modals/Download": {
"title": "$:/language/Modals/Download",
"type": "text/vnd.tiddlywiki",
"subtitle": "Download changes",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "http://tiddlywiki.com/static/DownloadingChanges.html",
"text": "Your browser only supports manual saving.\n\nTo save your modified wiki, right click on the download link below and select \"Download file\" or \"Save file\", and then choose the folder and filename.\n\n//You can marginally speed things up by clicking the link with the control key (Windows) or the options/alt key (Mac OS X). You will not be prompted for the folder or filename, but your browser is likely to give it an unrecognisable name -- you may need to rename the file to include an `.html` extension before you can do anything useful with it.//\n\nOn smartphones that do not allow files to be downloaded you can instead bookmark the link, and then sync your bookmarks to a desktop computer from where the wiki can be saved normally.\n"
},
"$:/language/Modals/SaveInstructions": {
"title": "$:/language/Modals/SaveInstructions",
"type": "text/vnd.tiddlywiki",
"subtitle": "Save your work",
"footer": "<$button message=\"tm-close-tiddler\">Close</$button>",
"help": "http://tiddlywiki.com/static/SavingChanges.html",
"text": "Your changes to this wiki need to be saved as a ~TiddlyWiki HTML file.\n\n!!! Desktop browsers\n\n# Select ''Save As'' from the ''File'' menu\n# Choose a filename and location\n#* Some browsers also require you to explicitly specify the file saving format as ''Webpage, HTML only'' or similar\n# Close this tab\n\n!!! Smartphone browsers\n\n# Create a bookmark to this page\n#* If you've got iCloud or Google Sync set up then the bookmark will automatically sync to your desktop where you can open it and save it as above\n# Close this tab\n\n//If you open the bookmark again in Mobile Safari you will see this message again. If you want to go ahead and use the file, just click the ''close'' button below//\n"
},
"$:/config/NewJournal/Title": {
"title": "$:/config/NewJournal/Title",
"text": "DDth MMM YYYY"
},
"$:/config/NewJournal/Tags": {
"title": "$:/config/NewJournal/Tags",
"text": "Journal"
},
"$:/language/Notifications/Save/Done": {
"title": "$:/language/Notifications/Save/Done",
"text": "Saved wiki"
},
"$:/language/Notifications/Save/Starting": {
"title": "$:/language/Notifications/Save/Starting",
"text": "Starting to save wiki"
},
"$:/language/Search/DefaultResults/Caption": {
"title": "$:/language/Search/DefaultResults/Caption",
"text": "List"
},
"$:/language/Search/Filter/Caption": {
"title": "$:/language/Search/Filter/Caption",
"text": "Filter"
},
"$:/language/Search/Filter/Hint": {
"title": "$:/language/Search/Filter/Hint",
"text": "Search via a [[filter expression|http://tiddlywiki.com/static/Filters.html]]"
},
"$:/language/Search/Filter/Matches": {
"title": "$:/language/Search/Filter/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Matches": {
"title": "$:/language/Search/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Matches/All": {
"title": "$:/language/Search/Matches/All",
"text": "All matches:"
},
"$:/language/Search/Matches/Title": {
"title": "$:/language/Search/Matches/Title",
"text": "Title matches:"
},
"$:/language/Search/Search": {
"title": "$:/language/Search/Search",
"text": "Search"
},
"$:/language/Search/Shadows/Caption": {
"title": "$:/language/Search/Shadows/Caption",
"text": "Shadows"
},
"$:/language/Search/Shadows/Hint": {
"title": "$:/language/Search/Shadows/Hint",
"text": "Search for shadow tiddlers"
},
"$:/language/Search/Shadows/Matches": {
"title": "$:/language/Search/Shadows/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/Standard/Caption": {
"title": "$:/language/Search/Standard/Caption",
"text": "Standard"
},
"$:/language/Search/Standard/Hint": {
"title": "$:/language/Search/Standard/Hint",
"text": "Search for standard tiddlers"
},
"$:/language/Search/Standard/Matches": {
"title": "$:/language/Search/Standard/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/Search/System/Caption": {
"title": "$:/language/Search/System/Caption",
"text": "System"
},
"$:/language/Search/System/Hint": {
"title": "$:/language/Search/System/Hint",
"text": "Search for system tiddlers"
},
"$:/language/Search/System/Matches": {
"title": "$:/language/Search/System/Matches",
"text": "//<small><<resultCount>> matches</small>//"
},
"$:/language/SideBar/All/Caption": {
"title": "$:/language/SideBar/All/Caption",
"text": "All"
},
"$:/language/SideBar/Contents/Caption": {
"title": "$:/language/SideBar/Contents/Caption",
"text": "Contents"
},
"$:/language/SideBar/Drafts/Caption": {
"title": "$:/language/SideBar/Drafts/Caption",
"text": "Drafts"
},
"$:/language/SideBar/Missing/Caption": {
"title": "$:/language/SideBar/Missing/Caption",
"text": "Missing"
},
"$:/language/SideBar/More/Caption": {
"title": "$:/language/SideBar/More/Caption",
"text": "More"
},
"$:/language/SideBar/Open/Caption": {
"title": "$:/language/SideBar/Open/Caption",
"text": "Open"
},
"$:/language/SideBar/Orphans/Caption": {
"title": "$:/language/SideBar/Orphans/Caption",
"text": "Orphans"
},
"$:/language/SideBar/Recent/Caption": {
"title": "$:/language/SideBar/Recent/Caption",
"text": "Recent"
},
"$:/language/SideBar/Shadows/Caption": {
"title": "$:/language/SideBar/Shadows/Caption",
"text": "Shadows"
},
"$:/language/SideBar/System/Caption": {
"title": "$:/language/SideBar/System/Caption",
"text": "System"
},
"$:/language/SideBar/Tags/Caption": {
"title": "$:/language/SideBar/Tags/Caption",
"text": "Tags"
},
"$:/language/SideBar/Tags/Untagged/Caption": {
"title": "$:/language/SideBar/Tags/Untagged/Caption",
"text": "untagged"
},
"$:/language/SideBar/Tools/Caption": {
"title": "$:/language/SideBar/Tools/Caption",
"text": "Tools"
},
"$:/language/SideBar/Types/Caption": {
"title": "$:/language/SideBar/Types/Caption",
"text": "Types"
},
"$:/SiteSubtitle": {
"title": "$:/SiteSubtitle",
"text": "a non-linear personal web notebook"
},
"$:/SiteTitle": {
"title": "$:/SiteTitle",
"text": "My ~TiddlyWiki"
},
"$:/language/TiddlerInfo/Advanced/Caption": {
"title": "$:/language/TiddlerInfo/Advanced/Caption",
"text": "Advanced"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Empty/Hint",
"text": "none"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Heading",
"text": "Plugin Details"
},
"$:/language/TiddlerInfo/Advanced/PluginInfo/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/PluginInfo/Hint",
"text": "This plugin contains the following shadow tiddlers:"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Heading",
"text": "Shadow Status"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/NotShadow/Hint",
"text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is not a shadow tiddler"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Hint",
"text": "The tiddler <$link to=<<infoTiddler>>><$text text=<<infoTiddler>>/></$link> is a shadow tiddler"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/Shadow/Source",
"text": "It is defined in the plugin <$link to=<<pluginTiddler>>><$text text=<<pluginTiddler>>/></$link>"
},
"$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint": {
"title": "$:/language/TiddlerInfo/Advanced/ShadowInfo/OverriddenShadow/Hint",
"text": "It is overridden by an ordinary tiddler"
},
"$:/language/TiddlerInfo/Fields/Caption": {
"title": "$:/language/TiddlerInfo/Fields/Caption",
"text": "Fields"
},
"$:/language/TiddlerInfo/List/Caption": {
"title": "$:/language/TiddlerInfo/List/Caption",
"text": "List"
},
"$:/language/TiddlerInfo/List/Empty": {
"title": "$:/language/TiddlerInfo/List/Empty",
"text": "This tiddler does not have a list"
},
"$:/language/TiddlerInfo/Listed/Caption": {
"title": "$:/language/TiddlerInfo/Listed/Caption",
"text": "Listed"
},
"$:/language/TiddlerInfo/Listed/Empty": {
"title": "$:/language/TiddlerInfo/Listed/Empty",
"text": "This tiddler is not listed by any others"
},
"$:/language/TiddlerInfo/References/Caption": {
"title": "$:/language/TiddlerInfo/References/Caption",
"text": "References"
},
"$:/language/TiddlerInfo/References/Empty": {
"title": "$:/language/TiddlerInfo/References/Empty",
"text": "No tiddlers link to this one"
},
"$:/language/TiddlerInfo/Tagging/Caption": {
"title": "$:/language/TiddlerInfo/Tagging/Caption",
"text": "Tagging"
},
"$:/language/TiddlerInfo/Tagging/Empty": {
"title": "$:/language/TiddlerInfo/Tagging/Empty",
"text": "No tiddlers are tagged with this one"
},
"$:/language/TiddlerInfo/Tools/Caption": {
"title": "$:/language/TiddlerInfo/Tools/Caption",
"text": "Tools"
},
"$:/language/Docs/Types/application/javascript": {
"title": "$:/language/Docs/Types/application/javascript",
"description": "JavaScript code",
"name": "application/javascript",
"group": "Developer"
},
"$:/language/Docs/Types/application/json": {
"title": "$:/language/Docs/Types/application/json",
"description": "JSON data",
"name": "application/json",
"group": "Developer"
},
"$:/language/Docs/Types/application/x-tiddler-dictionary": {
"title": "$:/language/Docs/Types/application/x-tiddler-dictionary",
"description": "Data dictionary",
"name": "application/x-tiddler-dictionary",
"group": "Developer"
},
"$:/language/Docs/Types/image/gif": {
"title": "$:/language/Docs/Types/image/gif",
"description": "GIF image",
"name": "image/gif",
"group": "Image"
},
"$:/language/Docs/Types/image/jpeg": {
"title": "$:/language/Docs/Types/image/jpeg",
"description": "JPEG image",
"name": "image/jpeg",
"group": "Image"
},
"$:/language/Docs/Types/image/png": {
"title": "$:/language/Docs/Types/image/png",
"description": "PNG image",
"name": "image/png",
"group": "Image"
},
"$:/language/Docs/Types/image/svg+xml": {
"title": "$:/language/Docs/Types/image/svg+xml",
"description": "Structured Vector Graphics image",
"name": "image/svg+xml",
"group": "Image"
},
"$:/language/Docs/Types/image/x-icon": {
"title": "$:/language/Docs/Types/image/x-icon",
"description": "ICO format icon file",
"name": "image/x-icon",
"group": "Image"
},
"$:/language/Docs/Types/text/css": {
"title": "$:/language/Docs/Types/text/css",
"description": "Static stylesheet",
"name": "text/css",
"group": "Developer"
},
"$:/language/Docs/Types/text/html": {
"title": "$:/language/Docs/Types/text/html",
"description": "HTML markup",
"name": "text/html",
"group": "Text"
},
"$:/language/Docs/Types/text/plain": {
"title": "$:/language/Docs/Types/text/plain",
"description": "Plain text",
"name": "text/plain",
"group": "Text"
},
"$:/language/Docs/Types/text/vnd.tiddlywiki": {
"title": "$:/language/Docs/Types/text/vnd.tiddlywiki",
"description": "TiddlyWiki 5",
"name": "text/vnd.tiddlywiki",
"group": "Text"
},
"$:/language/Docs/Types/text/x-tiddlywiki": {
"title": "$:/language/Docs/Types/text/x-tiddlywiki",
"description": "TiddlyWiki Classic",
"name": "text/x-tiddlywiki",
"group": "Text"
},
"$:/languages/en-GB/icon": {
"title": "$:/languages/en-GB/icon",
"type": "image/svg+xml",
"text": "<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 60 30\" width=\"1200\" height=\"600\">\n<clipPath id=\"t\">\n\t<path d=\"M30,15 h30 v15 z v15 h-30 z h-30 v-15 z v-15 h30 z\"/>\n</clipPath>\n<path d=\"M0,0 v30 h60 v-30 z\" fill=\"#00247d\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" stroke=\"#fff\" stroke-width=\"6\"/>\n<path d=\"M0,0 L60,30 M60,0 L0,30\" clip-path=\"url(#t)\" stroke=\"#cf142b\" stroke-width=\"4\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#fff\" stroke-width=\"10\"/>\n<path d=\"M30,0 v30 M0,15 h60\" stroke=\"#cf142b\" stroke-width=\"6\"/>\n</svg>\n"
},
"$:/languages/en-GB": {
"title": "$:/languages/en-GB",
"name": "en-GB",
"description": "English (British)",
"author": "JeremyRuston",
"core-version": ">=5.0.0\"",
"text": "Stub pseudo-plugin for the default language"
},
"$:/core/modules/commander.js": {
"text": "/*\\\ntitle: $:/core/modules/commander.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Commander class is a command interpreter\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParse a sequence of commands\n\tcommandTokens: an array of command string tokens\n\twiki: reference to the wiki store object\n\tstreams: {output:, error:}, each of which has a write(string) method\n\tcallback: a callback invoked as callback(err) where err is null if there was no error\n*/\nvar Commander = function(commandTokens,callback,wiki,streams) {\n\tvar path = require(\"path\");\n\tthis.commandTokens = commandTokens;\n\tthis.nextToken = 0;\n\tthis.callback = callback;\n\tthis.wiki = wiki;\n\tthis.streams = streams;\n\tthis.outputPath = path.resolve($tw.boot.wikiPath,$tw.config.wikiOutputSubDir);\n};\n\n/*\nAdd a string of tokens to the command queue\n*/\nCommander.prototype.addCommandTokens = function(commandTokens) {\n\tvar params = commandTokens.slice(0);\n\tparams.unshift(0);\n\tparams.unshift(this.nextToken);\n\tArray.prototype.splice.apply(this.commandTokens,params);\n};\n\n/*\nExecute the sequence of commands and invoke a callback on completion\n*/\nCommander.prototype.execute = function() {\n\tthis.executeNextCommand();\n};\n\n/*\nExecute the next command in the sequence\n*/\nCommander.prototype.executeNextCommand = function() {\n\tvar self = this;\n\t// Invoke the callback if there are no more commands\n\tif(this.nextToken >= this.commandTokens.length) {\n\t\tthis.callback(null);\n\t} else {\n\t\t// Get and check the command token\n\t\tvar commandName = this.commandTokens[this.nextToken++];\n\t\tif(commandName.substr(0,2) !== \"--\") {\n\t\t\tthis.callback(\"Missing command: \" + commandName);\n\t\t} else {\n\t\t\tcommandName = commandName.substr(2); // Trim off the --\n\t\t\t// Accumulate the parameters to the command\n\t\t\tvar params = [];\n\t\t\twhile(this.nextToken < this.commandTokens.length && \n\t\t\t\tthis.commandTokens[this.nextToken].substr(0,2) !== \"--\") {\n\t\t\t\tparams.push(this.commandTokens[this.nextToken++]);\n\t\t\t}\n\t\t\t// Get the command info\n\t\t\tvar command = $tw.commands[commandName],\n\t\t\t\tc,err;\n\t\t\tif(!command) {\n\t\t\t\tthis.callback(\"Unknown command: \" + commandName);\n\t\t\t} else {\n\t\t\t\tif(this.verbose) {\n\t\t\t\t\tthis.streams.output.write(\"Executing command: \" + commandName + \" \" + params.join(\" \") + \"\\n\");\n\t\t\t\t}\n\t\t\t\tif(command.info.synchronous) {\n\t\t\t\t\t// Synchronous command\n\t\t\t\t\tc = new command.Command(params,this);\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tthis.executeNextCommand();\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\t// Asynchronous command\n\t\t\t\t\tc = new command.Command(params,this,function(err) {\n\t\t\t\t\t\tif(err) {\n\t\t\t\t\t\t\tself.callback(err);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\tself.executeNextCommand();\n\t\t\t\t\t\t}\n\t\t\t\t\t});\n\t\t\t\t\terr = c.execute();\n\t\t\t\t\tif(err) {\n\t\t\t\t\t\tthis.callback(err);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n};\n\nCommander.initCommands = function(moduleType) {\n\tmoduleType = moduleType || \"command\";\n\t$tw.commands = {};\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tvar c = $tw.commands[module.info.name] = {};\n\t\t// Add the methods defined by the module\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\tc[f] = module[f];\n\t\t\t}\n\t\t}\n\t});\n};\n\nexports.Commander = Commander;\n\n})();\n",
"title": "$:/core/modules/commander.js",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/commands/build.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/build.js\ntype: application/javascript\nmodule-type: command\n\nCommand to build a build target\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"build\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\t// Get the build targets defined in the wiki\n\tvar buildTargets = $tw.boot.wikiInfo.build;\n\tif(!buildTargets) {\n\t\treturn \"No build targets defined\";\n\t}\n\t// Loop through each of the specified targets\n\tvar targets;\n\tif(this.params.length > 0) {\n\t\ttargets = this.params;\n\t} else {\n\t\ttargets = Object.keys(buildTargets);\n\t}\n\tfor(var targetIndex=0; targetIndex<targets.length; targetIndex++) {\n\t\tvar target = targets[targetIndex],\n\t\t\tcommands = buildTargets[target];\n\t\tif(!commands) {\n\t\t\treturn \"Build target '\" + target + \"' not found\";\n\t\t}\n\t\t// Add the commands to the queue\n\t\tthis.commander.addCommandTokens(commands);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/build.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/clearpassword.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/clearpassword.js\ntype: application/javascript\nmodule-type: command\n\nClear password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"clearpassword\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\t$tw.crypto.setPassword(null);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/clearpassword.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/editions.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/editions.js\ntype: application/javascript\nmodule-type: command\n\nCommand to list the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"editions\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this;\n\t// Output the list\n\tthis.commander.streams.output.write(\"Available editions:\\n\\n\");\n\tvar editionInfo = $tw.utils.getEditionInfo();\n\t$tw.utils.each(editionInfo,function(info,name) {\n\t\tself.commander.streams.output.write(\" \" + name + \": \" + info.description + \"\\n\");\n\t});\n\tthis.commander.streams.output.write(\"\\n\");\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/editions.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/help.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/help.js\ntype: application/javascript\nmodule-type: command\n\nHelp command\n\n\\*/\n(function(){\n\n/*jshint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"help\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar subhelp = this.params[0] || \"default\",\n\t\thelpBase = \"$:/language/Help/\",\n\t\ttext;\n\tif(!this.commander.wiki.getTiddler(helpBase + subhelp)) {\n\t\tsubhelp = \"notfound\";\n\t}\n\t// Wikify the help as formatted text (ie block elements generate newlines)\n\ttext = this.commander.wiki.renderTiddler(\"text/plain-formatted\",helpBase + subhelp);\n\t// Remove any leading linebreaks\n\ttext = text.replace(/^(\\r?\\n)*/g,\"\");\n\tthis.commander.streams.output.write(text);\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/help.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/init.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/init.js\ntype: application/javascript\nmodule-type: command\n\nCommand to initialise an empty wiki folder\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"init\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\t// Check that we don't already have a valid wiki folder\n\tif($tw.boot.wikiTiddlersPath || ($tw.utils.isDirectory($tw.boot.wikiPath) && !$tw.utils.isDirectoryEmpty($tw.boot.wikiPath))) {\n\t\treturn \"Wiki folder is not empty\";\n\t}\n\t// Loop through each of the specified editions\n\tvar editions = this.params.length > 0 ? this.params : [\"empty\"];\n\tfor(var editionIndex=0; editionIndex<editions.length; editionIndex++) {\n\t\tvar editionName = editions[editionIndex];\n\t\t// Check the edition exists\n\t\tvar editionPath = $tw.findLibraryItem(editionName,$tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar));\n\t\tif(!$tw.utils.isDirectory(editionPath)) {\n\t\t\treturn \"Edition '\" + editionName + \"' not found\";\n\t\t}\n\t\t// Copy the edition content\n\t\tvar err = $tw.utils.copyDirectory(editionPath,$tw.boot.wikiPath);\n\t\tif(!err) {\n\t\t\tthis.commander.streams.output.write(\"Copied edition '\" + editionName + \"' to \" + $tw.boot.wikiPath + \"\\n\");\n\t\t} else {\n\t\t\treturn err;\n\t\t}\n\t}\n\t// Tweak the tiddlywiki.info to remove any included wikis\n\tvar packagePath = $tw.boot.wikiPath + \"/tiddlywiki.info\",\n\t\tpackageJson = JSON.parse(fs.readFileSync(packagePath));\n\tdelete packageJson.includeWikis;\n\tfs.writeFileSync(packagePath,JSON.stringify(packageJson,null,$tw.config.preferences.jsonSpaces));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/init.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/load.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/load.js\ntype: application/javascript\nmodule-type: command\n\nCommand to load tiddlers from a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"load\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar ext = path.extname(self.params[0]);\n\tfs.readFile(this.params[0],$tw.utils.getTypeEncoding(ext),function(err,data) {\n\t\tif (err) {\n\t\t\tself.callback(err);\n\t\t} else {\n\t\t\tvar fields = {title: self.params[0]},\n\t\t\t\ttype = path.extname(self.params[0]);\n\t\t\tvar tiddlers = self.commander.wiki.deserializeTiddlers(type,data,fields);\n\t\t\tif(!tiddlers) {\n\t\t\t\tself.callback(\"No tiddlers found in file \\\"\" + self.params[0] + \"\\\"\");\n\t\t\t} else {\n\t\t\t\tfor(var t=0; t<tiddlers.length; t++) {\n\t\t\t\t\tself.commander.wiki.importTiddler(new $tw.Tiddler(tiddlers[t]));\n\t\t\t\t}\n\t\t\t\tself.callback(null);\t\n\t\t\t}\n\t\t}\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/load.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/makelibrary.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/makelibrary.js\ntype: application/javascript\nmodule-type: command\n\nCommand to pack all of the plugins in the library into a plugin tiddler of type \"library\"\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"makelibrary\",\n\tsynchronous: true\n};\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar wiki = this.commander.wiki,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tupgradeLibraryTitle = this.params[0] || UPGRADE_LIBRARY_TITLE,\n\t\ttiddlers = {};\n\t// Collect up the library plugins\n\tvar collectPlugins = function(folder) {\n\t\t\tvar pluginFolders = fs.readdirSync(folder);\n\t\t\tfor(var p=0; p<pluginFolders.length; p++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(pluginFolders[p])) {\n\t\t\t\t\tpluginFields = $tw.loadPluginFolder(path.resolve(folder,\"./\" + pluginFolders[p]));\n\t\t\t\t\tif(pluginFields && pluginFields.title) {\n\t\t\t\t\t\ttiddlers[pluginFields.title] = pluginFields;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t},\n\t\tcollectPublisherPlugins = function(folder) {\n\t\t\tvar publisherFolders = fs.readdirSync(folder);\n\t\t\tfor(var t=0; t<publisherFolders.length; t++) {\n\t\t\t\tif(!$tw.boot.excludeRegExp.test(publisherFolders[t])) {\n\t\t\t\t\tcollectPlugins(path.resolve(folder,\"./\" + publisherFolders[t]));\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\tcollectPublisherPlugins(path.resolve($tw.boot.corePath,$tw.config.pluginsPath));\n\tcollectPublisherPlugins(path.resolve($tw.boot.corePath,$tw.config.themesPath));\n\tcollectPlugins(path.resolve($tw.boot.corePath,$tw.config.languagesPath));\n\t// Save the upgrade library tiddler\n\tvar pluginFields = {\n\t\ttitle: upgradeLibraryTitle,\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"library\",\n\t\t\"text\": JSON.stringify({tiddlers: tiddlers},null,$tw.config.preferences.jsonSpaces)\n\t};\n\twiki.addTiddler(new $tw.Tiddler(pluginFields));\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/makelibrary.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/output.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/output.js\ntype: application/javascript\nmodule-type: command\n\nCommand to set the default output location (defaults to current working directory)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"output\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tvar fs = require(\"fs\"),\n\t\tpath = require(\"path\");\n\tif(this.params.length < 1) {\n\t\treturn \"Missing output path\";\n\t}\n\tthis.commander.outputPath = path.resolve(process.cwd(),this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/output.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/password.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/password.js\ntype: application/javascript\nmodule-type: command\n\nSave password for crypto operations\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"password\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing password\";\n\t}\n\t$tw.crypto.setPassword(this.params[0]);\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/password.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/rendertiddler.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/rendertiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render a tiddler and save it to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"rendertiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttype = this.params[2] || \"text/html\",\n\t\ttemplate = this.params[3],\n\t\tvariables = {};\n\t$tw.utils.createFileDirectories(filename);\n\tif(template) {\n\t\tvariables.currentTiddler = title;\n\t\ttitle = template;\n\t}\n\tfs.writeFile(filename,this.commander.wiki.renderTiddler(type,title,{variables: variables}),\"utf8\",function(err) {\n\t\tself.callback(err);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/rendertiddler.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/rendertiddlers.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/rendertiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to render several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"rendertiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\ttemplate = this.params[1],\n\t\toutputPath = this.commander.outputPath,\n\t\tpathname = path.resolve(outputPath,this.params[2]),\t\t\n\t\ttype = this.params[3] || \"text/html\",\n\t\textension = this.params[4] || \".html\",\n\t\tdeleteDirectory = (this.params[5] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(template),\n\t\t\twidgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}}),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\tvar text = type === \"text/html\" ? container.innerHTML : container.textContent,\n\t\t\texportPath = null;\n\t\tif($tw.utils.hop($tw.macros,\"tv-get-export-path\")) {\n\t\t\tvar macroPath = $tw.macros[\"tv-get-export-path\"].run.apply(self,[title]);\n\t\t\tif(macroPath) {\n\t\t\t\texportPath = path.resolve(outputPath,macroPath + extension);\n\t\t\t}\n\t\t}\n\t\tvar finalPath = exportPath || path.resolve(pathname,encodeURIComponent(title) + extension);\n\t\t$tw.utils.createFileDirectories(finalPath);\n\t\tfs.writeFileSync(finalPath,text,\"utf8\");\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/rendertiddlers.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savelibrarytiddlers.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/savelibrarytiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the subtiddlers of a bundle tiddler as a series of JSON files\n\n--savelibrarytiddlers <tiddler> <pathname> <skinnylisting>\n\nThe tiddler identifies the bundle tiddler that contains the subtiddlers.\n\nThe pathname specifies the pathname to the folder in which the JSON files should be saved. The filename is the URL encoded title of the subtiddler.\n\nThe skinnylisting specifies the title of the tiddler to which a JSON catalogue of the subtiddlers will be saved. The JSON file contains the same data as the bundle tiddler but with the `text` field removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savelibrarytiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\tcontainerTitle = this.params[0],\n\t\tfilter = this.params[1],\n\t\tbasepath = this.params[2],\n\t\tskinnyListTitle = this.params[3];\n\t// Get the container tiddler as data\n\tvar containerData = self.commander.wiki.getTiddlerDataCached(containerTitle,undefined);\n\tif(!containerData) {\n\t\treturn \"'\" + containerTitle + \"' is not a tiddler bundle\";\n\t}\n\t// Filter the list of plugins\n\tvar pluginList = [];\n\t$tw.utils.each(containerData.tiddlers,function(tiddler,title) {\n\t\tpluginList.push(title);\n\t});\n\tvar filteredPluginList;\n\tif(filter) {\n\t\tfilteredPluginList = self.commander.wiki.filterTiddlers(filter,null,self.commander.wiki.makeTiddlerIterator(pluginList));\n\t} else {\n\t\tfilteredPluginList = pluginList;\n\t}\n\t// Iterate through the plugins\n\tvar skinnyList = [];\n\t$tw.utils.each(filteredPluginList,function(title) {\n\t\tvar tiddler = containerData.tiddlers[title];\n\t\t// Save each JSON file and collect the skinny data\n\t\tvar pathname = path.resolve(self.commander.outputPath,basepath + encodeURIComponent(title) + \".json\");\n\t\t$tw.utils.createFileDirectories(pathname);\n\t\tfs.writeFileSync(pathname,JSON.stringify(tiddler,null,$tw.config.preferences.jsonSpaces),\"utf8\");\n\t\t// Collect the skinny list data\n\t\tvar pluginTiddlers = JSON.parse(tiddler.text),\n\t\t\treadmeContent = (pluginTiddlers.tiddlers[title + \"/readme\"] || {}).text,\n\t\t\ticonTiddler = pluginTiddlers.tiddlers[title + \"/icon\"] || {},\n\t\t\ticonType = iconTiddler.type,\n\t\t\ticonText = iconTiddler.text,\n\t\t\ticonContent;\n\t\tif(iconType && iconText) {\n\t\t\ticonContent = $tw.utils.makeDataUri(iconText,iconType);\n\t\t}\n\t\tskinnyList.push($tw.utils.extend({},tiddler,{text: undefined, readme: readmeContent, icon: iconContent}));\n\t});\n\t// Save the catalogue tiddler\n\tif(skinnyListTitle) {\n\t\tself.commander.wiki.setTiddlerData(skinnyListTitle,skinnyList);\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/savelibrarytiddlers.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savetiddler.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/savetiddler.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save the content of a tiddler to a file\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"savetiddler\",\n\tsynchronous: false\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 2) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\ttitle = this.params[0],\n\t\tfilename = path.resolve(this.commander.outputPath,this.params[1]),\n\t\ttiddler = this.commander.wiki.getTiddler(title),\n\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"};\n\t$tw.utils.createFileDirectories(filename);\n\tfs.writeFile(filename,tiddler.fields.text,contentTypeInfo.encoding,function(err) {\n\t\tself.callback(err);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/savetiddler.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/savetiddlers.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/savetiddlers.js\ntype: application/javascript\nmodule-type: command\n\nCommand to save several tiddlers to a folder of files\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"savetiddlers\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing filename\";\n\t}\n\tvar self = this,\n\t\tfs = require(\"fs\"),\n\t\tpath = require(\"path\"),\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tpathname = path.resolve(this.commander.outputPath,this.params[1]),\n\t\tdeleteDirectory = (this.params[2] || \"\").toLowerCase() !== \"noclean\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\tif(deleteDirectory) {\n\t\t$tw.utils.deleteDirectory(pathname);\n\t}\n\t$tw.utils.createDirectory(pathname);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.commander.wiki.getTiddler(title),\n\t\t\ttype = tiddler.fields.type || \"text/vnd.tiddlywiki\",\n\t\t\tcontentTypeInfo = $tw.config.contentTypeInfo[type] || {encoding: \"utf8\"},\n\t\t\tfilename = path.resolve(pathname,encodeURIComponent(title));\n\t\tfs.writeFileSync(filename,tiddler.fields.text,contentTypeInfo.encoding);\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/savetiddlers.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/server.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/server.js\ntype: application/javascript\nmodule-type: command\n\nServe tiddlers over http\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nif($tw.node) {\n\tvar util = require(\"util\"),\n\t\tfs = require(\"fs\"),\n\t\turl = require(\"url\"),\n\t\tpath = require(\"path\"),\n\t\thttp = require(\"http\");\n}\n\nexports.info = {\n\tname: \"server\",\n\tsynchronous: true\n};\n\n/*\nA simple HTTP server with regexp-based routes\n*/\nfunction SimpleServer(options) {\n\tthis.routes = options.routes || [];\n\tthis.wiki = options.wiki;\n\tthis.variables = options.variables || {};\n}\n\nSimpleServer.prototype.set = function(obj) {\n\tvar self = this;\n\t$tw.utils.each(obj,function(value,name) {\n\t\tself.variables[name] = value;\n\t});\n};\n\nSimpleServer.prototype.get = function(name) {\n\treturn this.variables[name];\n};\n\nSimpleServer.prototype.addRoute = function(route) {\n\tthis.routes.push(route);\n};\n\nSimpleServer.prototype.findMatchingRoute = function(request,state) {\n\tvar pathprefix = this.get(\"pathprefix\") || \"\";\n\tfor(var t=0; t<this.routes.length; t++) {\n\t\tvar potentialRoute = this.routes[t],\n\t\t\tpathRegExp = potentialRoute.path,\n\t\t\tpathname = state.urlInfo.pathname,\n\t\t\tmatch;\n\t\tif(pathprefix) {\n\t\t\tif(pathname.substr(0,pathprefix.length) === pathprefix) {\n\t\t\t\tpathname = pathname.substr(pathprefix.length);\n\t\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t\t} else {\n\t\t\t\tmatch = false;\n\t\t\t}\n\t\t} else {\n\t\t\tmatch = potentialRoute.path.exec(pathname);\n\t\t}\n\t\tif(match && request.method === potentialRoute.method) {\n\t\t\tstate.params = [];\n\t\t\tfor(var p=1; p<match.length; p++) {\n\t\t\t\tstate.params.push(match[p]);\n\t\t\t}\n\t\t\treturn potentialRoute;\n\t\t}\n\t}\n\treturn null;\n};\n\nSimpleServer.prototype.checkCredentials = function(request,incomingUsername,incomingPassword) {\n\tvar header = request.headers.authorization || \"\",\n\t\ttoken = header.split(/\\s+/).pop() || \"\",\n\t\tauth = $tw.utils.base64Decode(token),\n\t\tparts = auth.split(/:/),\n\t\tusername = parts[0],\n\t\tpassword = parts[1];\n\tif(incomingUsername === username && incomingPassword === password) {\n\t\treturn \"ALLOWED\";\n\t} else {\n\t\treturn \"DENIED\";\n\t}\n};\n\nSimpleServer.prototype.listen = function(port,host) {\n\tvar self = this;\n\thttp.createServer(function(request,response) {\n\t\t// Compose the state object\n\t\tvar state = {};\n\t\tstate.wiki = self.wiki;\n\t\tstate.server = self;\n\t\tstate.urlInfo = url.parse(request.url);\n\t\t// Find the route that matches this path\n\t\tvar route = self.findMatchingRoute(request,state);\n\t\t// Check for the username and password if we've got one\n\t\tvar username = self.get(\"username\"),\n\t\t\tpassword = self.get(\"password\");\n\t\tif(username && password) {\n\t\t\t// Check they match\n\t\t\tif(self.checkCredentials(request,username,password) !== \"ALLOWED\") {\n\t\t\t\tvar servername = state.wiki.getTiddlerText(\"$:/SiteTitle\") || \"TiddlyWiki5\";\n\t\t\t\tresponse.writeHead(401,\"Authentication required\",{\n\t\t\t\t\t\"WWW-Authenticate\": 'Basic realm=\"Please provide your username and password to login to ' + servername + '\"'\n\t\t\t\t});\n\t\t\t\tresponse.end();\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t// Return a 404 if we didn't find a route\n\t\tif(!route) {\n\t\t\tresponse.writeHead(404);\n\t\t\tresponse.end();\n\t\t\treturn;\n\t\t}\n\t\t// Set the encoding for the incoming request\n\t\t// TODO: Presumably this would need tweaking if we supported PUTting binary tiddlers\n\t\trequest.setEncoding(\"utf8\");\n\t\t// Dispatch the appropriate method\n\t\tswitch(request.method) {\n\t\t\tcase \"GET\": // Intentional fall-through\n\t\t\tcase \"DELETE\":\n\t\t\t\troute.handler(request,response,state);\n\t\t\t\tbreak;\n\t\t\tcase \"PUT\":\n\t\t\t\tvar data = \"\";\n\t\t\t\trequest.on(\"data\",function(chunk) {\n\t\t\t\t\tdata += chunk.toString();\n\t\t\t\t});\n\t\t\t\trequest.on(\"end\",function() {\n\t\t\t\t\tstate.data = data;\n\t\t\t\t\troute.handler(request,response,state);\n\t\t\t\t});\n\t\t\t\tbreak;\n\t\t}\n\t}).listen(port,host);\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n\t// Set up server\n\tthis.server = new SimpleServer({\n\t\twiki: this.commander.wiki\n\t});\n\t// Add route handlers\n\tthis.server.addRoute({\n\t\tmethod: \"PUT\",\n\t\tpath: /^\\/recipes\\/default\\/tiddlers\\/(.+)$/,\n\t\thandler: function(request,response,state) {\n\t\t\tvar title = decodeURIComponent(state.params[0]),\n\t\t\t\tfields = JSON.parse(state.data);\n\t\t\t// Pull up any subfields in the `fields` object\n\t\t\tif(fields.fields) {\n\t\t\t\t$tw.utils.each(fields.fields,function(field,name) {\n\t\t\t\t\tfields[name] = field;\n\t\t\t\t});\n\t\t\t\tdelete fields.fields;\n\t\t\t}\n\t\t\t// Remove any revision field\n\t\t\tif(fields.revision) {\n\t\t\t\tdelete fields.revision;\n\t\t\t}\n\t\t\tstate.wiki.addTiddler(new $tw.Tiddler(state.wiki.getCreationFields(),fields,{title: title},state.wiki.getModificationFields()));\n\t\t\tvar changeCount = state.wiki.getChangeCount(title).toString();\n\t\t\tresponse.writeHead(204, \"OK\",{\n\t\t\t\tEtag: \"\\\"default/\" + encodeURIComponent(title) + \"/\" + changeCount + \":\\\"\",\n\t\t\t\t\"Content-Type\": \"text/plain\"\n\t\t\t});\n\t\t\tresponse.end();\n\t\t}\n\t});\n\tthis.server.addRoute({\n\t\tmethod: \"DELETE\",\n\t\tpath: /^\\/bags\\/default\\/tiddlers\\/(.+)$/,\n\t\thandler: function(request,response,state) {\n\t\t\tvar title = decodeURIComponent(state.params[0]);\n\t\t\tstate.wiki.deleteTiddler(title);\n\t\t\tresponse.writeHead(204, \"OK\", {\n\t\t\t\t\"Content-Type\": \"text/plain\"\n\t\t\t});\n\t\t\tresponse.end();\n\t\t}\n\t});\n\tthis.server.addRoute({\n\t\tmethod: \"GET\",\n\t\tpath: /^\\/$/,\n\t\thandler: function(request,response,state) {\n\t\t\tresponse.writeHead(200, {\"Content-Type\": state.server.get(\"serveType\")});\n\t\t\tvar text = state.wiki.renderTiddler(state.server.get(\"renderType\"),state.server.get(\"rootTiddler\"));\n\t\t\tresponse.end(text,\"utf8\");\n\t\t}\n\t});\n\tthis.server.addRoute({\n\t\tmethod: \"GET\",\n\t\tpath: /^\\/status$/,\n\t\thandler: function(request,response,state) {\n\t\t\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\t\t\tvar text = JSON.stringify({\n\t\t\t\tusername: state.server.get(\"username\"),\n\t\t\t\tspace: {\n\t\t\t\t\trecipe: \"default\"\n\t\t\t\t},\n\t\t\t\ttiddlywiki_version: $tw.version\n\t\t\t});\n\t\t\tresponse.end(text,\"utf8\");\n\t\t}\n\t});\n\tthis.server.addRoute({\n\t\tmethod: \"GET\",\n\t\tpath: /^\\/favicon.ico$/,\n\t\thandler: function(request,response,state) {\n\t\t\tresponse.writeHead(200, {\"Content-Type\": \"image/x-icon\"});\n\t\t\tvar buffer = state.wiki.getTiddlerText(\"$:/favicon.ico\",\"\");\n\t\t\tresponse.end(buffer,\"base64\");\n\t\t}\n\t});\n\tthis.server.addRoute({\n\t\tmethod: \"GET\",\n\t\tpath: /^\\/recipes\\/default\\/tiddlers.json$/,\n\t\thandler: function(request,response,state) {\n\t\t\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\t\t\tvar tiddlers = [];\n\t\t\tstate.wiki.forEachTiddler({sortField: \"title\"},function(title,tiddler) {\n\t\t\t\tvar tiddlerFields = {};\n\t\t\t\t$tw.utils.each(tiddler.fields,function(field,name) {\n\t\t\t\t\tif(name !== \"text\") {\n\t\t\t\t\t\ttiddlerFields[name] = tiddler.getFieldString(name);\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\t\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\t\t\ttiddlers.push(tiddlerFields);\n\t\t\t});\n\t\t\tvar text = JSON.stringify(tiddlers);\n\t\t\tresponse.end(text,\"utf8\");\n\t\t}\n\t});\n\tthis.server.addRoute({\n\t\tmethod: \"GET\",\n\t\tpath: /^\\/recipes\\/default\\/tiddlers\\/(.+)$/,\n\t\thandler: function(request,response,state) {\n\t\t\tvar title = decodeURIComponent(state.params[0]),\n\t\t\t\ttiddler = state.wiki.getTiddler(title),\n\t\t\t\ttiddlerFields = {},\n\t\t\t\tknownFields = [\n\t\t\t\t\t\"bag\", \"created\", \"creator\", \"modified\", \"modifier\", \"permissions\", \"recipe\", \"revision\", \"tags\", \"text\", \"title\", \"type\", \"uri\"\n\t\t\t\t];\n\t\t\tif(tiddler) {\n\t\t\t\t$tw.utils.each(tiddler.fields,function(field,name) {\n\t\t\t\t\tvar value = tiddler.getFieldString(name);\n\t\t\t\t\tif(knownFields.indexOf(name) !== -1) {\n\t\t\t\t\t\ttiddlerFields[name] = value;\n\t\t\t\t\t} else {\n\t\t\t\t\t\ttiddlerFields.fields = tiddlerFields.fields || {};\n\t\t\t\t\t\ttiddlerFields.fields[name] = value;\n\t\t\t\t\t}\n\t\t\t\t});\n\t\t\t\ttiddlerFields.revision = state.wiki.getChangeCount(title);\n\t\t\t\ttiddlerFields.type = tiddlerFields.type || \"text/vnd.tiddlywiki\";\n\t\t\t\tresponse.writeHead(200, {\"Content-Type\": \"application/json\"});\n\t\t\t\tresponse.end(JSON.stringify(tiddlerFields),\"utf8\");\n\t\t\t} else {\n\t\t\t\tresponse.writeHead(404);\n\t\t\t\tresponse.end();\n\t\t\t}\n\t\t}\n\t});\n};\n\nCommand.prototype.execute = function() {\n\tif(!$tw.boot.wikiTiddlersPath) {\n\t\t$tw.utils.warning(\"Warning: Wiki folder '\" + $tw.boot.wikiPath + \"' does not exist or is missing a tiddlywiki.info file\");\n\t}\n\tvar port = this.params[0] || \"8080\",\n\t\trootTiddler = this.params[1] || \"$:/core/save/all\",\n\t\trenderType = this.params[2] || \"text/plain\",\n\t\tserveType = this.params[3] || \"text/html\",\n\t\tusername = this.params[4],\n\t\tpassword = this.params[5],\n\t\thost = this.params[6] || \"127.0.0.1\",\n\t\tpathprefix = this.params[7];\n\tthis.server.set({\n\t\trootTiddler: rootTiddler,\n\t\trenderType: renderType,\n\t\tserveType: serveType,\n\t\tusername: username,\n\t\tpassword: password,\n\t\tpathprefix: pathprefix\n\t});\n\tthis.server.listen(port,host);\n\tconsole.log(\"Serving on \" + host + \":\" + port);\n\tconsole.log(\"(press ctrl-C to exit)\");\n\t// Warn if required plugins are missing\n\tif(!$tw.wiki.getTiddler(\"$:/plugins/tiddlywiki/tiddlyweb\") || !$tw.wiki.getTiddler(\"$:/plugins/tiddlywiki/filesystem\")) {\n\t\t$tw.utils.warning(\"Warning: Plugins required for client-server operation (\\\"tiddlywiki/filesystem\\\" and \\\"tiddlywiki/tiddlyweb\\\") are missing from tiddlywiki.info file\");\n\t}\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/server.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/setfield.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/setfield.js\ntype: application/javascript\nmodule-type: command\n\nCommand to modify selected tiddlers to set a field to the text of a template tiddler that has been wikified with the selected tiddler as the current tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.info = {\n\tname: \"setfield\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 4) {\n\t\treturn \"Missing parameters\";\n\t}\n\tvar self = this,\n\t\twiki = this.commander.wiki,\n\t\tfilter = this.params[0],\n\t\tfieldname = this.params[1] || \"text\",\n\t\ttemplatetitle = this.params[2],\n\t\trendertype = this.params[3] || \"text/plain\",\n\t\ttiddlers = wiki.filterTiddlers(filter);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar parser = wiki.parseTiddler(templatetitle),\n\t\t\tnewFields = {},\n\t\t\ttiddler = wiki.getTiddler(title);\n\t\tif(parser) {\n\t\t\tvar widgetNode = wiki.makeWidget(parser,{variables: {currentTiddler: title}});\n\t\t\tvar container = $tw.fakeDocument.createElement(\"div\");\n\t\t\twidgetNode.render(container,null);\n\t\t\tnewFields[fieldname] = rendertype === \"text/html\" ? container.innerHTML : container.textContent;\n\t\t} else {\n\t\t\tnewFields[fieldname] = undefined;\n\t\t}\n\t\twiki.addTiddler(new $tw.Tiddler(tiddler,newFields));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/setfield.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/unpackplugin.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/unpackplugin.js\ntype: application/javascript\nmodule-type: command\n\nCommand to extract the shadow tiddlers from within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"unpackplugin\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander,callback) {\n\tthis.params = params;\n\tthis.commander = commander;\n\tthis.callback = callback;\n};\n\nCommand.prototype.execute = function() {\n\tif(this.params.length < 1) {\n\t\treturn \"Missing plugin name\";\n\t}\n\tvar self = this,\n\t\ttitle = this.params[0],\n\t\tpluginData = this.commander.wiki.getTiddlerDataCached(title);\n\tif(!pluginData) {\n\t\treturn \"Plugin '\" + title + \"' not found\";\n\t}\n\t$tw.utils.each(pluginData.tiddlers,function(tiddler) {\n\t\tself.commander.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t});\n\treturn null;\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/unpackplugin.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/verbose.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/verbose.js\ntype: application/javascript\nmodule-type: command\n\nVerbose command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"verbose\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.verbose = true;\n\t// Output the boot message log\n\tthis.commander.streams.output.write(\"Boot log:\\n \" + $tw.boot.logMessages.join(\"\\n \") + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/verbose.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/commands/version.js": {
"text": "/*\\\ntitle: $:/core/modules/commands/version.js\ntype: application/javascript\nmodule-type: command\n\nVersion command\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.info = {\n\tname: \"version\",\n\tsynchronous: true\n};\n\nvar Command = function(params,commander) {\n\tthis.params = params;\n\tthis.commander = commander;\n};\n\nCommand.prototype.execute = function() {\n\tthis.commander.streams.output.write($tw.version + \"\\n\");\n\treturn null; // No error\n};\n\nexports.Command = Command;\n\n})();\n",
"title": "$:/core/modules/commands/version.js",
"type": "application/javascript",
"module-type": "command"
},
"$:/core/modules/config.js": {
"text": "/*\\\ntitle: $:/core/modules/config.js\ntype: application/javascript\nmodule-type: config\n\nCore configuration constants\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.preferences = {};\n\nexports.preferences.notificationDuration = 3 * 1000;\nexports.preferences.jsonSpaces = 4;\n\nexports.textPrimitives = {\n\tupperLetter: \"[A-Z\\u00c0-\\u00d6\\u00d8-\\u00de\\u0150\\u0170]\",\n\tlowerLetter: \"[a-z\\u00df-\\u00f6\\u00f8-\\u00ff\\u0151\\u0171]\",\n\tanyLetter: \"[A-Za-z0-9\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\",\n\tblockPrefixLetters:\t\"[A-Za-z0-9-_\\u00c0-\\u00d6\\u00d8-\\u00de\\u00df-\\u00f6\\u00f8-\\u00ff\\u0150\\u0170\\u0151\\u0171]\"\n};\n\nexports.textPrimitives.unWikiLink = \"~\";\nexports.textPrimitives.wikiLink = exports.textPrimitives.upperLetter + \"+\" +\n\texports.textPrimitives.lowerLetter + \"+\" +\n\texports.textPrimitives.upperLetter +\n\texports.textPrimitives.anyLetter + \"*\";\n\nexports.htmlEntities = {quot:34, amp:38, apos:39, lt:60, gt:62, nbsp:160, iexcl:161, cent:162, pound:163, curren:164, yen:165, brvbar:166, sect:167, uml:168, copy:169, ordf:170, laquo:171, not:172, shy:173, reg:174, macr:175, deg:176, plusmn:177, sup2:178, sup3:179, acute:180, micro:181, para:182, middot:183, cedil:184, sup1:185, ordm:186, raquo:187, frac14:188, frac12:189, frac34:190, iquest:191, Agrave:192, Aacute:193, Acirc:194, Atilde:195, Auml:196, Aring:197, AElig:198, Ccedil:199, Egrave:200, Eacute:201, Ecirc:202, Euml:203, Igrave:204, Iacute:205, Icirc:206, Iuml:207, ETH:208, Ntilde:209, Ograve:210, Oacute:211, Ocirc:212, Otilde:213, Ouml:214, times:215, Oslash:216, Ugrave:217, Uacute:218, Ucirc:219, Uuml:220, Yacute:221, THORN:222, szlig:223, agrave:224, aacute:225, acirc:226, atilde:227, auml:228, aring:229, aelig:230, ccedil:231, egrave:232, eacute:233, ecirc:234, euml:235, igrave:236, iacute:237, icirc:238, iuml:239, eth:240, ntilde:241, ograve:242, oacute:243, ocirc:244, otilde:245, ouml:246, divide:247, oslash:248, ugrave:249, uacute:250, ucirc:251, uuml:252, yacute:253, thorn:254, yuml:255, OElig:338, oelig:339, Scaron:352, scaron:353, Yuml:376, fnof:402, circ:710, tilde:732, Alpha:913, Beta:914, Gamma:915, Delta:916, Epsilon:917, Zeta:918, Eta:919, Theta:920, Iota:921, Kappa:922, Lambda:923, Mu:924, Nu:925, Xi:926, Omicron:927, Pi:928, Rho:929, Sigma:931, Tau:932, Upsilon:933, Phi:934, Chi:935, Psi:936, Omega:937, alpha:945, beta:946, gamma:947, delta:948, epsilon:949, zeta:950, eta:951, theta:952, iota:953, kappa:954, lambda:955, mu:956, nu:957, xi:958, omicron:959, pi:960, rho:961, sigmaf:962, sigma:963, tau:964, upsilon:965, phi:966, chi:967, psi:968, omega:969, thetasym:977, upsih:978, piv:982, ensp:8194, emsp:8195, thinsp:8201, zwnj:8204, zwj:8205, lrm:8206, rlm:8207, ndash:8211, mdash:8212, lsquo:8216, rsquo:8217, sbquo:8218, ldquo:8220, rdquo:8221, bdquo:8222, dagger:8224, Dagger:8225, bull:8226, hellip:8230, permil:8240, prime:8242, Prime:8243, lsaquo:8249, rsaquo:8250, oline:8254, frasl:8260, euro:8364, image:8465, weierp:8472, real:8476, trade:8482, alefsym:8501, larr:8592, uarr:8593, rarr:8594, darr:8595, harr:8596, crarr:8629, lArr:8656, uArr:8657, rArr:8658, dArr:8659, hArr:8660, forall:8704, part:8706, exist:8707, empty:8709, nabla:8711, isin:8712, notin:8713, ni:8715, prod:8719, sum:8721, minus:8722, lowast:8727, radic:8730, prop:8733, infin:8734, ang:8736, and:8743, or:8744, cap:8745, cup:8746, int:8747, there4:8756, sim:8764, cong:8773, asymp:8776, ne:8800, equiv:8801, le:8804, ge:8805, sub:8834, sup:8835, nsub:8836, sube:8838, supe:8839, oplus:8853, otimes:8855, perp:8869, sdot:8901, lceil:8968, rceil:8969, lfloor:8970, rfloor:8971, lang:9001, rang:9002, loz:9674, spades:9824, clubs:9827, hearts:9829, diams:9830 };\n\nexports.htmlVoidElements = \"area,base,br,col,command,embed,hr,img,input,keygen,link,meta,param,source,track,wbr\".split(\",\");\n\nexports.htmlBlockElements = \"address,article,aside,audio,blockquote,canvas,dd,div,dl,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,hr,li,noscript,ol,output,p,pre,section,table,tfoot,ul,video\".split(\",\");\n\nexports.htmlUnsafeElements = \"script\".split(\",\");\n\n})();\n",
"title": "$:/core/modules/config.js",
"type": "application/javascript",
"module-type": "config"
},
"$:/core/modules/deserializers.js": {
"text": "/*\\\ntitle: $:/core/modules/deserializers.js\ntype: application/javascript\nmodule-type: tiddlerdeserializer\n\nFunctions to deserialise tiddlers from a block of text\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nUtility function to parse an old-style tiddler DIV in a *.tid file. It looks like this:\n\n<div title=\"Title\" creator=\"JoeBloggs\" modifier=\"JoeBloggs\" created=\"201102111106\" modified=\"201102111310\" tags=\"myTag [[my long tag]]\">\n<pre>The text of the tiddler (without the expected HTML encoding).\n</pre>\n</div>\n\nNote that the field attributes are HTML encoded, but that the body of the <PRE> tag is not encoded.\n\nWhen these tiddler DIVs are encountered within a TiddlyWiki HTML file then the body is encoded in the usual way.\n*/\nvar parseTiddlerDiv = function(text /* [,fields] */) {\n\t// Slot together the default results\n\tvar result = {};\n\tif(arguments.length > 1) {\n\t\tfor(var f=1; f<arguments.length; f++) {\n\t\t\tvar fields = arguments[f];\n\t\t\tfor(var t in fields) {\n\t\t\t\tresult[t] = fields[t];\t\t\n\t\t\t}\n\t\t}\n\t}\n\t// Parse the DIV body\n\tvar startRegExp = /^\\s*<div\\s+([^>]*)>(\\s*<pre>)?/gi,\n\t\tendRegExp,\n\t\tmatch = startRegExp.exec(text);\n\tif(match) {\n\t\t// Old-style DIVs don't have the <pre> tag\n\t\tif(match[2]) {\n\t\t\tendRegExp = /<\\/pre>\\s*<\\/div>\\s*$/gi;\n\t\t} else {\n\t\t\tendRegExp = /<\\/div>\\s*$/gi;\n\t\t}\n\t\tvar endMatch = endRegExp.exec(text);\n\t\tif(endMatch) {\n\t\t\t// Extract the text\n\t\t\tresult.text = text.substring(match.index + match[0].length,endMatch.index);\n\t\t\t// Process the attributes\n\t\t\tvar attrRegExp = /\\s*([^=\\s]+)\\s*=\\s*(?:\"([^\"]*)\"|'([^']*)')/gi,\n\t\t\t\tattrMatch;\n\t\t\tdo {\n\t\t\t\tattrMatch = attrRegExp.exec(match[1]);\n\t\t\t\tif(attrMatch) {\n\t\t\t\t\tvar name = attrMatch[1];\n\t\t\t\t\tvar value = attrMatch[2] !== undefined ? attrMatch[2] : attrMatch[3];\n\t\t\t\t\tresult[name] = value;\n\t\t\t\t}\n\t\t\t} while(attrMatch);\n\t\t\treturn result;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports[\"application/x-tiddler-html-div\"] = function(text,fields) {\n\treturn [parseTiddlerDiv(text,fields)];\n};\n\nexports[\"application/json\"] = function(text,fields) {\n\tvar incoming = JSON.parse(text),\n\t\tresults = [];\n\tif($tw.utils.isArray(incoming)) {\n\t\tfor(var t=0; t<incoming.length; t++) {\n\t\t\tvar incomingFields = incoming[t],\n\t\t\t\tfields = {};\n\t\t\tfor(var f in incomingFields) {\n\t\t\t\tif(typeof incomingFields[f] === \"string\") {\n\t\t\t\t\tfields[f] = incomingFields[f];\n\t\t\t\t}\n\t\t\t}\n\t\t\tresults.push(fields);\n\t\t}\n\t}\n\treturn results;\n};\n\n/*\nParse an HTML file into tiddlers. There are three possibilities:\n# A TiddlyWiki classic HTML file containing `text/x-tiddlywiki` tiddlers\n# A TiddlyWiki5 HTML file containing `text/vnd.tiddlywiki` tiddlers\n# An ordinary HTML file\n*/\nexports[\"text/html\"] = function(text,fields) {\n\t// Check if we've got a store area\n\tvar storeAreaMarkerRegExp = /<div id=[\"']?storeArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\tmatch = storeAreaMarkerRegExp.exec(text);\n\tif(match) {\n\t\t// If so, it's either a classic TiddlyWiki file or an unencrypted TW5 file\n\t\t// First read the normal tiddlers\n\t\tvar results = deserializeTiddlyWikiFile(text,storeAreaMarkerRegExp.lastIndex,!!match[1],fields);\n\t\t// Then any system tiddlers\n\t\tvar systemAreaMarkerRegExp = /<div id=[\"']?systemArea['\"]?( style=[\"']?display:none;[\"']?)?>/gi,\n\t\t\tsysMatch = systemAreaMarkerRegExp.exec(text);\n\t\tif(sysMatch) {\n\t\t\tresults.push.apply(results,deserializeTiddlyWikiFile(text,systemAreaMarkerRegExp.lastIndex,!!sysMatch[1],fields));\n\t\t}\n\t\treturn results;\n\t} else {\n\t\t// Check whether we've got an encrypted file\n\t\tvar encryptedStoreArea = $tw.utils.extractEncryptedStoreArea(text);\n\t\tif(encryptedStoreArea) {\n\t\t\t// If so, attempt to decrypt it using the current password\n\t\t\treturn $tw.utils.decryptStoreArea(encryptedStoreArea);\n\t\t} else {\n\t\t\t// It's not a TiddlyWiki so we'll return the entire HTML file as a tiddler\n\t\t\treturn deserializeHtmlFile(text,fields);\n\t\t}\n\t}\n};\n\nfunction deserializeHtmlFile(text,fields) {\n\tvar result = {};\n\t$tw.utils.each(fields,function(value,name) {\n\t\tresult[name] = value;\n\t});\n\tresult.text = text;\n\tresult.type = \"text/html\";\n\treturn [result];\n}\n\nfunction deserializeTiddlyWikiFile(text,storeAreaEnd,isTiddlyWiki5,fields) {\n\tvar results = [],\n\t\tendOfDivRegExp = /(<\\/div>\\s*)/gi,\n\t\tstartPos = storeAreaEnd,\n\t\tdefaultType = isTiddlyWiki5 ? undefined : \"text/x-tiddlywiki\";\n\tendOfDivRegExp.lastIndex = startPos;\n\tvar match = endOfDivRegExp.exec(text);\n\twhile(match) {\n\t\tvar endPos = endOfDivRegExp.lastIndex,\n\t\t\ttiddlerFields = parseTiddlerDiv(text.substring(startPos,endPos),fields,{type: defaultType});\n\t\tif(!tiddlerFields) {\n\t\t\tbreak;\n\t\t}\n\t\t$tw.utils.each(tiddlerFields,function(value,name) {\n\t\t\tif(typeof value === \"string\") {\n\t\t\t\ttiddlerFields[name] = $tw.utils.htmlDecode(value);\n\t\t\t}\n\t\t});\n\t\tif(tiddlerFields.text !== null) {\n\t\t\tresults.push(tiddlerFields);\n\t\t}\n\t\tstartPos = endPos;\n\t\tmatch = endOfDivRegExp.exec(text);\n\t}\n\treturn results;\n}\n\n})();\n",
"title": "$:/core/modules/deserializers.js",
"type": "application/javascript",
"module-type": "tiddlerdeserializer"
},
"$:/core/modules/filters/addprefix.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/addprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a prefix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(operator.operand + title);\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/addprefix.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/addsuffix.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/addsuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for adding a suffix to each title in the list. This is\nespecially useful in contexts where only a filter expression is allowed\nand macro substitution isn't available.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.addsuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title + operator.operand);\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/addsuffix.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/after.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/after.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is after the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.after = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index === -1 || index > (results.length - 2)) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index + 1]];\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/filters/after.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/all/current.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/all/current.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar currTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(currTiddlerTitle) {\n\t\treturn [currTiddlerTitle];\n\t} else {\n\t\treturn [];\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/filters/all/current.js",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/missing.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/all/missing.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\treturn options.wiki.getMissingTitles();\n};\n\n})();\n",
"title": "$:/core/modules/filters/all/missing.js",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/orphans.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/all/orphans.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[orphans]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphans = function(source,prefix,options) {\n\treturn options.wiki.getOrphanTitles();\n};\n\n})();\n",
"title": "$:/core/modules/filters/all/orphans.js",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/shadows.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/all/shadows.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[shadows]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadows = function(source,prefix,options) {\n\treturn options.wiki.allShadowTitles();\n};\n\n})();\n",
"title": "$:/core/modules/filters/all/shadows.js",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all/tiddlers.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/all/tiddlers.js\ntype: application/javascript\nmodule-type: allfilteroperator\n\nFilter function for [all[tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddlers = function(source,prefix,options) {\n\treturn options.wiki.allTitles();\n};\n\n})();\n",
"title": "$:/core/modules/filters/all/tiddlers.js",
"type": "application/javascript",
"module-type": "allfilteroperator"
},
"$:/core/modules/filters/all.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/all.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for selecting tiddlers\n\n[all[shadows+tiddlers]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar allFilterOperators;\n\nfunction getAllFilterOperators() {\n\tif(!allFilterOperators) {\n\t\tallFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"allfilteroperator\",allFilterOperators);\n\t}\n\treturn allFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.all = function(source,operator,options) {\n\t// Get our suboperators\n\tvar allFilterOperators = getAllFilterOperators();\n\t// Cycle through the suboperators accumulating their results\n\tvar results = [],\n\t\tsubops = operator.operand.split(\"+\");\n\t// Check for common optimisations\n\tif(subops.length === 1 && subops[0] === \"\") {\n\t\treturn source;\n\t} else if(subops.length === 1 && subops[0] === \"tiddlers\") {\n\t\treturn options.wiki.each;\n\t} else if(subops.length === 1 && subops[0] === \"shadows\") {\n\t\treturn options.wiki.eachShadow;\n\t} else if(subops.length === 2 && subops[0] === \"tiddlers\" && subops[1] === \"shadows\") {\n\t\treturn options.wiki.eachTiddlerPlusShadows;\n\t} else if(subops.length === 2 && subops[0] === \"shadows\" && subops[1] === \"tiddlers\") {\n\t\treturn options.wiki.eachShadowPlusTiddlers;\n\t}\n\t// Do it the hard way\n\tfor(var t=0; t<subops.length; t++) {\n\t\tvar subop = allFilterOperators[subops[t]];\n\t\tif(subop) {\n\t\t\t$tw.utils.pushTop(results,subop(source,operator.prefix,options));\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/all.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/backlinks.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/backlinks.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the backlinks from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.backlinks = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerBacklinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/backlinks.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/before.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/before.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler from the current list that is before the tiddler named in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.before = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\tvar index = results.indexOf(operator.operand);\n\tif(index <= 0) {\n\t\treturn [];\n\t} else {\n\t\treturn [results[index - 1]];\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/filters/before.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/commands.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/commands.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the commands available in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.commands = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.commands,function(commandInfo,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/commands.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/days.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/days.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a specified date field within a specified date interval.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.days = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\tdayInterval = (parseInt(operator.operand,10)||0),\n\t\tdayIntervalSign = $tw.utils.sign(dayInterval),\n\t\ttargetTimeStamp = (new Date()).setHours(0,0,0,0) + 1000*60*60*24*dayInterval,\n\t\tisWithinDays = function(dateField) {\n\t\t\tvar sign = $tw.utils.sign(targetTimeStamp - (new Date(dateField)).setHours(0,0,0,0));\n\t\t\treturn sign === 0 || sign === dayIntervalSign;\n\t\t};\n\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(!isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\t\tif(isWithinDays($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/days.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/each.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/each.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique value of the specified field.\nWith suffix \"list\", selects all tiddlers that are values in a specified list field.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.each = function(source,operator,options) {\n\tvar results =[] ,\n\t\tvalue,values = {},\n\t\tfield = operator.operand || \"title\";\n\tif(operator.suffix !== \"list-item\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\tvalue = (field === \"title\") ? title : tiddler.getFieldString(field);\n\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\t$tw.utils.each(\n\t\t\t\t\toptions.wiki.getTiddlerList(title,field),\n\t\t\t\t\tfunction(value) {\n\t\t\t\t\t\tif(!$tw.utils.hop(values,value)) {\n\t\t\t\t\t\t\tvalues[value] = true;\n\t\t\t\t\t\t\tresults.push(value);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/each.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/eachday.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/eachday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects one tiddler for each unique day covered by the specified date field\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.eachday = function(source,operator,options) {\n\tvar results = [],\n\t\tvalues = [],\n\t\tfieldName = operator.operand || \"modified\";\n\t// Function to convert a date/time to a date integer\n\tvar toDate = function(value) {\n\t\tvalue = (new Date(value)).setHours(0,0,0,0);\n\t\treturn value+0;\n\t};\n\tsource(function(tiddler,title) {\n\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\tvar value = toDate($tw.utils.parseDate(tiddler.fields[fieldName]));\n\t\t\tif(values.indexOf(value) === -1) {\n\t\t\t\tvalues.push(value);\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/eachday.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/editiondescription.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/editiondescription.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the descriptions of the specified edition names\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editiondescription = function(source,operator,options) {\n\tvar results = [],\n\t\teditionInfo = $tw.utils.getEditionInfo();\n\tif(editionInfo) {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(editionInfo,title)) {\n\t\t\t\tresults.push(editionInfo[title].description || \"\");\t\t\t\t\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/editiondescription.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/editions.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/editions.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the available editions in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.editions = function(source,operator,options) {\n\tvar results = [],\n\t\teditionInfo = $tw.utils.getEditionInfo();\n\tif(editionInfo) {\n\t\t$tw.utils.each(editionInfo,function(info,name) {\n\t\t\tresults.push(name);\n\t\t});\n\t}\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/editions.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/field.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/field.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.field = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || operator.operator || \"title\").toLowerCase();\n\tif(operator.prefix === \"!\") {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text !== operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t} else {\n\t\tif(operator.regexp) {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && !!operator.regexp.exec(text)) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t} else {\n\t\t\tsource(function(tiddler,title) {\n\t\t\t\tif(tiddler) {\n\t\t\t\t\tvar text = tiddler.getFieldString(fieldname);\n\t\t\t\t\tif(text !== null && text === operator.operand) {\n\t\t\t\t\t\tresults.push(title);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/field.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/fields.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/fields.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the fields on the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.fields = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tfor(var fieldName in tiddler.fields) {\n\t\t\t\t$tw.utils.pushTop(results,fieldName);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/fields.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/get.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/get.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for replacing tiddler titles by the value of the field specified in the operand.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.get = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(tiddler) {\n\t\t\tvar value = tiddler.getFieldString(operator.operand);\n\t\t\tif(value) {\n\t\t\t\tresults.push(value);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/get.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/getindex.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/getindex.js\ntype: application/javascript\nmodule-type: filteroperator\n\nreturns the value at a given index of datatiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.getindex = function(source,operator,options) {\n\tvar data,title,results = [];\n\tif(operator.operand){\n\t\tsource(function(tiddler,title) {\n\t\t\ttitle = tiddler ? tiddler.fields.title : title;\n\t\t\tdata = options.wiki.extractTiddlerDataItem(tiddler,operator.operand);\n\t\t\tif(data) {\n\t\t\t\tresults.push(data);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/getindex.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/has.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/has.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a tiddler has the specified field\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.has = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler || (tiddler && (!$tw.utils.hop(tiddler.fields,operator.operand) || tiddler.fields[operator.operand] === \"\"))) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && $tw.utils.hop(tiddler.fields,operator.operand) && tiddler.fields[operator.operand] !== \"\") {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/has.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/haschanged.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/haschanged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returns tiddlers from the list that have a non-zero changecount.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.haschanged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) === 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.getChangeCount(title) > 0) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/haschanged.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/indexes.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/indexes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the indexes of a data tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.indexes = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar data = options.wiki.getTiddlerDataCached(title);\n\t\tif(data) {\n\t\t\t$tw.utils.pushTop(results,Object.keys(data));\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/indexes.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/is/current.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/is/current.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[current]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.current = function(source,prefix,options) {\n\tvar results = [],\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\");\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title !== currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title === currTiddlerTitle) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/is/current.js",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/image.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/is/image.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[image]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.image = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isImageTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/is/image.js",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/missing.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/is/missing.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[missing]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.missing = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/is/missing.js",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/orphan.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/is/orphan.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[orphan]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.orphan = function(source,prefix,options) {\n\tvar results = [],\n\t\torphanTitles = options.wiki.getOrphanTitles();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(orphanTitles.indexOf(title) !== -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/is/orphan.js",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/shadow.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/is/shadow.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[shadow]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadow = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isShadowTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/is/shadow.js",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/system.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/is/system.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[system]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.system = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.isSystemTiddler(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/is/system.js",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/tag.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/is/tag.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tag]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,prefix,options) {\n\tvar results = [],\n\t\ttagMap = options.wiki.getTagMap();\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!$tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif($tw.utils.hop(tagMap,title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/is/tag.js",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is/tiddler.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/is/tiddler.js\ntype: application/javascript\nmodule-type: isfilteroperator\n\nFilter function for [is[tiddler]]\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tiddler = function(source,prefix,options) {\n\tvar results = [];\n\tif(prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(options.wiki.tiddlerExists(title)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/is/tiddler.js",
"type": "application/javascript",
"module-type": "isfilteroperator"
},
"$:/core/modules/filters/is.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/is.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking tiddler properties\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar isFilterOperators;\n\nfunction getIsFilterOperators() {\n\tif(!isFilterOperators) {\n\t\tisFilterOperators = {};\n\t\t$tw.modules.applyMethods(\"isfilteroperator\",isFilterOperators);\n\t}\n\treturn isFilterOperators;\n}\n\n/*\nExport our filter function\n*/\nexports.is = function(source,operator,options) {\n\t// Dispatch to the correct isfilteroperator\n\tvar isFilterOperators = getIsFilterOperators();\n\tvar isFilterOperator = isFilterOperators[operator.operand];\n\tif(isFilterOperator) {\n\t\treturn isFilterOperator(source,operator.prefix,options);\n\t} else {\n\t\treturn [\"Filter Error: Unknown operand for the 'is' filter operator\"];\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/filters/is.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/limit.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/limit.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for chopping the results to a specified maximum number of entries\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.limit = function(source,operator,options) {\n\tvar results = [];\n\t// Convert to an array\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\t// Slice the array if necessary\n\tvar limit = Math.min(results.length,parseInt(operator.operand,10));\n\tif(operator.prefix === \"!\") {\n\t\tresults = results.slice(-limit);\n\t} else {\n\t\tresults = results.slice(0,limit);\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/limit.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/links.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/links.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning all the links from a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.links = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlerLinks(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/links.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/list.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/list.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddlers whose title is listed in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.list = function(source,operator,options) {\n\tvar results = [],\n\t\ttr = $tw.utils.parseTextReference(operator.operand),\n\t\tcurrTiddlerTitle = options.widget && options.widget.getVariable(\"currentTiddler\"),\n\t\tlist = options.wiki.getTiddlerList(tr.title || currTiddlerTitle,tr.field,tr.index);\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults = list;\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/list.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/listed.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/listed.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that have the selected tiddlers in a list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.listed = function(source,operator,options) {\n\tvar field = operator.operand || \"list\",\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.findListingsOfTiddler(title,field));\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/listed.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/listops.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operators for manipulating the current selection list\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nReverse list\n*/\nexports.reverse = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.unshift(title);\n\t});\n\treturn results;\n};\n\n/*\nFirst entry/entries in list\n*/\nexports.first = function(source,operator,options) {\n\tvar count = parseInt(operator.operand) || 1,\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,count);\n};\n\n/*\nLast entry/entries in list\n*/\nexports.last = function(source,operator,options) {\n\tvar count = parseInt(operator.operand) || 1,\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(-count);\n};\n\n/*\nAll but the first entry/entries of the list\n*/\nexports.rest = function(source,operator,options) {\n\tvar count = parseInt(operator.operand) || 1,\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count);\n};\nexports.butfirst = exports.rest;\nexports.bf = exports.rest;\n\n/*\nAll but the last entry/entries of the list\n*/\nexports.butlast = function(source,operator,options) {\n\tvar count = parseInt(operator.operand) || 1,\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(0,-count);\n};\nexports.bl = exports.butlast;\n\n/*\nThe nth member of the list\n*/\nexports.nth = function(source,operator,options) {\n\tvar count = parseInt(operator.operand) || 1,\n\t\tresults = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results.slice(count - 1,count);\n};\n\n})();\n",
"title": "$:/core/modules/filters/listops.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/modules.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/modules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the modules of a given type in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.modules = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.each($tw.modules.types[title],function(moduleInfo,moduleName) {\n\t\t\tresults.push(moduleName);\n\t\t});\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/modules.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/moduletypes.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/moduletypes.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the module types in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.moduletypes = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.modules.types,function(moduleInfo,type) {\n\t\tresults.push(type);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/moduletypes.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/next.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/next.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs next in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.next = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch++;\n\t\tif(match > 0 && match < list.length) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/next.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/plugintiddlers.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/plugintiddlers.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the titles of the shadow tiddlers within a plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.plugintiddlers = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar pluginInfo = options.wiki.getPluginInfo(title) || options.wiki.getTiddlerDataCached(title,{tiddlers:[]});\n\t\tif(pluginInfo && pluginInfo.tiddlers) {\n\t\t\t$tw.utils.each(pluginInfo.tiddlers,function(fields,title) {\n\t\t\t\tresults.push(title);\n\t\t\t});\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/plugintiddlers.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/prefix.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/prefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title starts with a prefix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.prefix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/prefix.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/previous.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/previous.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning the tiddler whose title occurs immediately prior in the list supplied in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.previous = function(source,operator,options) {\n\tvar results = [],\n\t\tlist = options.wiki.getTiddlerList(operator.operand);\n\tsource(function(tiddler,title) {\n\t\tvar match = list.indexOf(title);\n\t\t// increment match and then test if result is in range\n\t\tmatch--;\n\t\tif(match >= 0) {\n\t\t\tresults.push(list[match]);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/previous.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/regexp.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/regexp.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for regexp matching\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.regexp = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldname = (operator.suffix || \"title\").toLowerCase(),\n\t\tregexpString, regexp, flags = \"\", match,\n\t\tgetFieldString = function(tiddler,title) {\n\t\t\tif(tiddler) {\n\t\t\t\treturn tiddler.getFieldString(fieldname);\n\t\t\t} else if(fieldname === \"title\") {\n\t\t\t\treturn title;\n\t\t\t} else {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t};\n\t// Process flags and construct regexp\n\tregexpString = operator.operand;\n\tmatch = /^\\(\\?([gim]+)\\)/.exec(regexpString);\n\tif(match) {\n\t\tflags = match[1];\n\t\tregexpString = regexpString.substr(match[0].length);\n\t} else {\n\t\tmatch = /\\(\\?([gim]+)\\)$/.exec(regexpString);\n\t\tif(match) {\n\t\t\tflags = match[1];\n\t\t\tregexpString = regexpString.substr(0,regexpString.length - match[0].length);\n\t\t}\n\t}\n\ttry {\n\t\tregexp = new RegExp(regexpString,flags);\n\t} catch(e) {\n\t\treturn [\"\" + e];\n\t}\n\t// Process the incoming tiddlers\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tvar text = getFieldString(tiddler,title);\n\t\t\tif(text !== null) {\n\t\t\t\tif(!!regexp.exec(text)) {\n\t\t\t\t\tresults.push(title);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/regexp.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/removeprefix.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/removeprefix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a prefix from each title in the list. Titles that do not start with the prefix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removeprefix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title.substr(0,operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/removeprefix.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/removesuffix.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/removesuffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for removing a suffix from each title in the list. Titles that do not end with the suffix are removed.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.removesuffix = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tif(title.substr(-operator.operand.length) === operator.operand) {\n\t\t\tresults.push(title.substr(0,title.length - operator.operand.length));\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/removesuffix.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sameday.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/sameday.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that selects tiddlers with a modified date field on the same day as the provided value.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sameday = function(source,operator,options) {\n\tvar results = [],\n\t\tfieldName = operator.suffix || \"modified\",\n\t\ttargetDate = (new Date($tw.utils.parseDate(operator.operand))).setHours(0,0,0,0);\n\t// Function to convert a date/time to a date integer\n\tvar isSameDay = function(dateField) {\n\t\t\treturn (new Date(dateField)).setHours(0,0,0,0) === targetDate;\n\t\t};\n\tsource(function(tiddler,title) {\n\t\tif(tiddler && tiddler.fields[fieldName]) {\n\t\t\tif(isSameDay($tw.utils.parseDate(tiddler.fields[fieldName]))) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/sameday.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/search.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/search.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for searching for the text in the operand tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.search = function(source,operator,options) {\n\tvar invert = operator.prefix === \"!\";\n\tif(operator.suffix) {\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert,\n\t\t\tfield: operator.suffix\n\t\t});\n\t} else {\n\t\treturn options.wiki.search(operator.operand,{\n\t\t\tsource: source,\n\t\t\tinvert: invert\n\t\t});\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/filters/search.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/shadowsource.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/shadowsource.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the source plugins for shadow tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.shadowsource = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar source = options.wiki.getShadowSource(title);\n\t\tif(source) {\n\t\t\t$tw.utils.pushTop(results,source);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/shadowsource.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/sort.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/sort.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for sorting\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.sort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,false);\n\treturn results;\n};\n\nexports.nsort = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",false,true);\n\treturn results;\n};\n\nexports.sortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,false);\n\treturn results;\n};\n\nexports.nsortcs = function(source,operator,options) {\n\tvar results = prepare_results(source);\n\toptions.wiki.sortTiddlers(results,operator.operand || \"title\",operator.prefix === \"!\",true,true);\n\treturn results;\n};\n\nvar prepare_results = function (source) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tresults.push(title);\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/sort.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/splitbefore.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/splitbefore.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator that splits each result on the first occurance of the specified separator and returns the unique values.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.splitbefore = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\tvar parts = title.split(operator.operand);\n\t\tif(parts.length === 1) {\n\t\t\t$tw.utils.pushTop(results,parts[0]);\n\t\t} else {\n\t\t\t$tw.utils.pushTop(results,parts[0] + operator.operand);\n\t\t}\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/splitbefore.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/storyviews.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/storyviews.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the story views in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.storyviews = function(source,operator,options) {\n\tvar results = [],\n\t\tstoryviews = {};\n\t$tw.modules.applyMethods(\"storyview\",storyviews);\n\t$tw.utils.each(storyviews,function(info,name) {\n\t\tresults.push(name);\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/storyviews.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/suffix.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/suffix.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking if a title ends with a suffix\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.suffix = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(title.substr(-operator.operand.length) === operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/suffix.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tag.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/tag.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for checking for the presence of a tag\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tag = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && !tiddler.hasTag(operator.operand)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.hasTag(operator.operand)) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t\tresults = options.wiki.sortByList(results,operator.operand);\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/tag.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tagging.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/tagging.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all tiddlers that are tagged with the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tagging = function(source,operator,options) {\n\tvar results = [];\n\tsource(function(tiddler,title) {\n\t\t$tw.utils.pushTop(results,options.wiki.getTiddlersWithTag(title));\n\t});\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/tagging.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/tags.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/tags.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the tags of the selected tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.tags = function(source,operator,options) {\n\tvar tags = {};\n\tsource(function(tiddler,title) {\n\t\tvar t, length;\n\t\tif(tiddler && tiddler.fields.tags) {\n\t\t\tfor(t=0, length=tiddler.fields.tags.length; t<length; t++) {\n\t\t\t\ttags[tiddler.fields.tags[t]] = true;\n\t\t\t}\n\t\t}\n\t});\n\treturn Object.keys(tags);\n};\n\n})();\n",
"title": "$:/core/modules/filters/tags.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/title.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/title.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for comparing title fields for equality\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.title = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && tiddler.fields.title !== operator.operand) {\n\t\t\t\tresults.push(title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tresults.push(operator.operand);\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/title.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/untagged.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/untagged.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator returning all the selected tiddlers that are untagged\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.untagged = function(source,operator,options) {\n\tvar results = [];\n\tif(operator.prefix === \"!\") {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(tiddler && $tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length > 0) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tsource(function(tiddler,title) {\n\t\t\tif(!tiddler || !tiddler.hasField(\"tags\") || ($tw.utils.isArray(tiddler.fields.tags) && tiddler.fields.tags.length === 0)) {\n\t\t\t\t$tw.utils.pushTop(results,title);\n\t\t\t}\n\t\t});\n\t}\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/untagged.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/wikiparserrules.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/wikiparserrules.js\ntype: application/javascript\nmodule-type: filteroperator\n\nFilter operator for returning the names of the wiki parser rules in this wiki\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nExport our filter function\n*/\nexports.wikiparserrules = function(source,operator,options) {\n\tvar results = [];\n\t$tw.utils.each($tw.modules.types.wikirule,function(mod) {\n\t\tvar exp = mod.exports;\n\t\tif(exp.types[operator.operand]) {\n\t\t\tresults.push(exp.name);\n\t\t}\n\t});\n\tresults.sort();\n\treturn results;\n};\n\n})();\n",
"title": "$:/core/modules/filters/wikiparserrules.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters/x-listops.js": {
"text": "/*\\\ntitle: $:/core/modules/filters/x-listops.js\ntype: application/javascript\nmodule-type: filteroperator\n\nExtended filter operators to manipulate the current list.\n\n\\*/\n(function () {\n\n /*jslint node: true, browser: true */\n /*global $tw: false */\n \"use strict\";\n\n /*\n Fetch titles from the current list\n */\n var prepare_results = function (source) {\n var results = [];\n source(function (tiddler, title) {\n results.push(title);\n });\n return results;\n };\n\n /*\n Moves a number of items from the tail of the current list before the item named in the operand\n */\n exports.putbefore = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = parseInt(operator.suffix) || 1;\n return (index === -1) ?\n results.slice(0, -1) :\n results.slice(0, index).concat(results.slice(-count)).concat(results.slice(index, -count));\n };\n\n /*\n Moves a number of items from the tail of the current list after the item named in the operand\n */\n exports.putafter = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = parseInt(operator.suffix) || 1;\n return (index === -1) ?\n results.slice(0, -1) :\n results.slice(0, index + 1).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n };\n\n /*\n Replaces the item named in the operand with a number of items from the tail of the current list\n */\n exports.replace = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = parseInt(operator.suffix) || 1;\n return (index === -1) ?\n results.slice(0, -count) :\n results.slice(0, index).concat(results.slice(-count)).concat(results.slice(index + 1, -count));\n };\n\n /*\n Moves a number of items from the tail of the current list to the head of the list\n */\n exports.putfirst = function (source, operator) {\n var results = prepare_results(source),\n count = parseInt(operator.suffix) || 1;\n return results.slice(-count).concat(results.slice(0, -count));\n };\n\n /*\n Moves a number of items from the head of the current list to the tail of the list\n */\n exports.putlast = function (source, operator) {\n var results = prepare_results(source),\n count = parseInt(operator.suffix) || 1;\n return results.slice(count).concat(results.slice(0, count));\n };\n\n /*\n Moves the item named in the operand a number of places forward or backward in the list\n */\n exports.move = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand),\n count = parseInt(operator.suffix) || 1,\n marker = results.splice(index, 1);\n return results.slice(0, index + count).concat(marker).concat(results.slice(index + count));\n };\n\n /*\n Returns the items from the current list that are after the item named in the operand\n */\n exports.allafter = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand);\n return (index === -1 || index > (results.length - 2)) ? [] :\n (operator.suffix) ? results.slice(index) :\n results.slice(index + 1);\n };\n\n /*\n Returns the items from the current list that are before the item named in the operand\n */\n exports.allbefore = function (source, operator) {\n var results = prepare_results(source),\n index = results.indexOf(operator.operand);\n return (index <= 0) ? [] :\n (operator.suffix) ? results.slice(0, index + 1) :\n results.slice(0, index);\n };\n\n /*\n Appends the items listed in the operand array to the tail of the current list\n */\n exports.append = function (source, operator) {\n var append = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = parseInt(operator.suffix) || append.length;\n return (append.length === 0) ? results :\n (operator.prefix) ? results.concat(append.slice(-count)) :\n results.concat(append.slice(0, count));\n };\n\n /*\n Prepends the items listed in the operand array to the head of the current list\n */\n exports.prepend = function (source, operator) {\n var prepend = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = parseInt(operator.suffix) || prepend.length;\n return (prepend.length === 0) ? results :\n (operator.prefix) ? prepend.slice(-count).concat(results) :\n prepend.slice(0, count).concat(results);\n };\n\n /*\n Returns all items from the current list except the items listed in the operand array\n */\n exports.remove = function (source, operator) {\n var array = $tw.utils.parseStringArray(operator.operand, \"true\"),\n results = prepare_results(source),\n count = parseInt(operator.suffix) || array.length,\n p,\n len,\n index;\n len = array.length - 1;\n for (p = 0; p < count; ++p) {\n if (operator.prefix) {\n index = results.indexOf(array[len - p]);\n } else {\n index = results.indexOf(array[p]);\n }\n if (index !== -1) {\n results.splice(index, 1);\n }\n }\n return results;\n };\n\n /*\n Returns all items from the current list sorted in the order of the items in the operand array\n */\n exports.sortby = function (source, operator) {\n var results = prepare_results(source);\n if (!results || results.length < 2) {\n return results;\n }\n var lookup = $tw.utils.parseStringArray(operator.operand, \"true\");\n results.sort(function (a, b) {\n return lookup.indexOf(a) - lookup.indexOf(b);\n });\n return results;\n };\n\n /*\n Removes all duplicate items from the current list\n */\n exports.unique = function (source, operator) {\n var results = prepare_results(source);\n var set = results.reduce(function (a, b) {\n if (a.indexOf(b) < 0) {\n a.push(b);\n }\n return a;\n }, []);\n return set;\n };\n})();\n",
"title": "$:/core/modules/filters/x-listops.js",
"type": "application/javascript",
"module-type": "filteroperator"
},
"$:/core/modules/filters.js": {
"text": "/*\\\ntitle: $:/core/modules/filters.js\ntype: application/javascript\nmodule-type: wikimethod\n\nAdds tiddler filtering methods to the $tw.Wiki object.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nParses an operation (i.e. a run) within a filter string\n\toperators: Array of array of operator nodes into which results should be inserted\n\tfilterString: filter string\n\tp: start position within the string\nReturns the new start position, after the parsed operation\n*/\nfunction parseFilterOperation(operators,filterString,p) {\n\tvar operator, operand, bracketPos, curlyBracketPos;\n\t// Skip the starting square bracket\n\tif(filterString.charAt(p++) !== \"[\") {\n\t\tthrow \"Missing [ in filter expression\";\n\t}\n\t// Process each operator in turn\n\tdo {\n\t\toperator = {};\n\t\t// Check for an operator prefix\n\t\tif(filterString.charAt(p) === \"!\") {\n\t\t\toperator.prefix = filterString.charAt(p++);\n\t\t}\n\t\t// Get the operator name\n\t\tvar nextBracketPos = filterString.substring(p).search(/[\\[\\{<\\/]/);\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing [ in filter expression\";\n\t\t}\n\t\tnextBracketPos += p;\n\t\tvar bracket = filterString.charAt(nextBracketPos);\n\t\toperator.operator = filterString.substring(p,nextBracketPos);\n\t\t\n\t\t// Any suffix?\n\t\tvar colon = operator.operator.indexOf(':');\n\t\tif(colon > -1) {\n\t\t\toperator.suffix = operator.operator.substring(colon + 1);\n\t\t\toperator.operator = operator.operator.substring(0,colon) || \"field\";\n\t\t}\n\t\t// Empty operator means: title\n\t\telse if(operator.operator === \"\") {\n\t\t\toperator.operator = \"title\";\n\t\t}\n\n\t\tp = nextBracketPos + 1;\n\t\tswitch (bracket) {\n\t\t\tcase \"{\": // Curly brackets\n\t\t\t\toperator.indirect = true;\n\t\t\t\tnextBracketPos = filterString.indexOf(\"}\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"[\": // Square brackets\n\t\t\t\tnextBracketPos = filterString.indexOf(\"]\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"<\": // Angle brackets\n\t\t\t\toperator.variable = true;\n\t\t\t\tnextBracketPos = filterString.indexOf(\">\",p);\n\t\t\t\tbreak;\n\t\t\tcase \"/\": // regexp brackets\n\t\t\t\tvar rex = /^((?:[^\\\\\\/]*|\\\\.)*)\\/(?:\\(([mygi]+)\\))?/g,\n\t\t\t\t\trexMatch = rex.exec(filterString.substring(p));\n\t\t\t\tif(rexMatch) {\n\t\t\t\t\toperator.regexp = new RegExp(rexMatch[1], rexMatch[2]);\n// DEPRECATION WARNING\nconsole.log(\"WARNING: Filter\",operator.operator,\"has a deprecated regexp operand\",operator.regexp);\n\t\t\t\t\tnextBracketPos = p + rex.lastIndex - 1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tthrow \"Unterminated regular expression in filter expression\";\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\t\t\n\t\tif(nextBracketPos === -1) {\n\t\t\tthrow \"Missing closing bracket in filter expression\";\n\t\t}\n\t\tif(!operator.regexp) {\n\t\t\toperator.operand = filterString.substring(p,nextBracketPos);\n\t\t}\n\t\tp = nextBracketPos + 1;\n\t\t\t\n\t\t// Push this operator\n\t\toperators.push(operator);\n\t} while(filterString.charAt(p) !== \"]\");\n\t// Skip the ending square bracket\n\tif(filterString.charAt(p++) !== \"]\") {\n\t\tthrow \"Missing ] in filter expression\";\n\t}\n\t// Return the parsing position\n\treturn p;\n}\n\n/*\nParse a filter string\n*/\nexports.parseFilter = function(filterString) {\n\tfilterString = filterString || \"\";\n\tvar results = [], // Array of arrays of operator nodes {operator:,operand:}\n\t\tp = 0, // Current position in the filter string\n\t\tmatch;\n\tvar whitespaceRegExp = /(\\s+)/mg,\n\t\toperandRegExp = /((?:\\+|\\-)?)(?:(\\[)|(?:\"([^\"]*)\")|(?:'([^']*)')|([^\\s\\[\\]]+))/mg;\n\twhile(p < filterString.length) {\n\t\t// Skip any whitespace\n\t\twhitespaceRegExp.lastIndex = p;\n\t\tmatch = whitespaceRegExp.exec(filterString);\n\t\tif(match && match.index === p) {\n\t\t\tp = p + match[0].length;\n\t\t}\n\t\t// Match the start of the operation\n\t\tif(p < filterString.length) {\n\t\t\toperandRegExp.lastIndex = p;\n\t\t\tmatch = operandRegExp.exec(filterString);\n\t\t\tif(!match || match.index !== p) {\n\t\t\t\tthrow \"Syntax error in filter expression\";\n\t\t\t}\n\t\t\tvar operation = {\n\t\t\t\tprefix: \"\",\n\t\t\t\toperators: []\n\t\t\t};\n\t\t\tif(match[1]) {\n\t\t\t\toperation.prefix = match[1];\n\t\t\t\tp++;\n\t\t\t}\n\t\t\tif(match[2]) { // Opening square bracket\n\t\t\t\tp = parseFilterOperation(operation.operators,filterString,p);\n\t\t\t} else {\n\t\t\t\tp = match.index + match[0].length;\n\t\t\t}\n\t\t\tif(match[3] || match[4] || match[5]) { // Double quoted string, single quoted string or unquoted title\n\t\t\t\toperation.operators.push(\n\t\t\t\t\t{operator: \"title\", operand: match[3] || match[4] || match[5]}\n\t\t\t\t);\n\t\t\t}\n\t\t\tresults.push(operation);\n\t\t}\n\t}\n\treturn results;\n};\n\nexports.getFilterOperators = function() {\n\tif(!this.filterOperators) {\n\t\t$tw.Wiki.prototype.filterOperators = {};\n\t\t$tw.modules.applyMethods(\"filteroperator\",this.filterOperators);\n\t}\n\treturn this.filterOperators;\n};\n\nexports.filterTiddlers = function(filterString,widget,source) {\n\tvar fn = this.compileFilter(filterString);\n\treturn fn.call(this,source,widget);\n};\n\n/*\nCompile a filter into a function with the signature fn(source,widget) where:\nsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\nwidget: an optional widget node for retrieving the current tiddler etc.\n*/\nexports.compileFilter = function(filterString) {\n\tvar filterParseTree;\n\ttry {\n\t\tfilterParseTree = this.parseFilter(filterString);\n\t} catch(e) {\n\t\treturn function(source,widget) {\n\t\t\treturn [\"Filter error: \" + e];\n\t\t};\n\t}\n\t// Get the hashmap of filter operator functions\n\tvar filterOperators = this.getFilterOperators();\n\t// Assemble array of functions, one for each operation\n\tvar operationFunctions = [];\n\t// Step through the operations\n\tvar self = this;\n\t$tw.utils.each(filterParseTree,function(operation) {\n\t\t// Create a function for the chain of operators in the operation\n\t\tvar operationSubFunction = function(source,widget) {\n\t\t\tvar accumulator = source,\n\t\t\t\tresults = [],\n\t\t\t\tcurrTiddlerTitle = widget && widget.getVariable(\"currentTiddler\");\n\t\t\t$tw.utils.each(operation.operators,function(operator) {\n\t\t\t\tvar operand = operator.operand,\n\t\t\t\t\toperatorFunction;\n\t\t\t\tif(!operator.operator) {\n\t\t\t\t\toperatorFunction = filterOperators.title;\n\t\t\t\t} else if(!filterOperators[operator.operator]) {\n\t\t\t\t\toperatorFunction = filterOperators.field;\n\t\t\t\t} else {\n\t\t\t\t\toperatorFunction = filterOperators[operator.operator];\n\t\t\t\t}\n\t\t\t\tif(operator.indirect) {\n\t\t\t\t\toperand = self.getTextReference(operator.operand,\"\",currTiddlerTitle);\n\t\t\t\t}\n\t\t\t\tif(operator.variable) {\n\t\t\t\t\toperand = widget.getVariable(operator.operand,{defaultValue: \"\"});\n\t\t\t\t}\n\t\t\t\t// Invoke the appropriate filteroperator module\n\t\t\t\tresults = operatorFunction(accumulator,{\n\t\t\t\t\t\t\toperator: operator.operator,\n\t\t\t\t\t\t\toperand: operand,\n\t\t\t\t\t\t\tprefix: operator.prefix,\n\t\t\t\t\t\t\tsuffix: operator.suffix,\n\t\t\t\t\t\t\tregexp: operator.regexp\n\t\t\t\t\t\t},{\n\t\t\t\t\t\t\twiki: self,\n\t\t\t\t\t\t\twidget: widget\n\t\t\t\t\t\t});\n\t\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\t\taccumulator = self.makeTiddlerIterator(results);\n\t\t\t\t} else {\n\t\t\t\t\taccumulator = results;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif($tw.utils.isArray(results)) {\n\t\t\t\treturn results;\n\t\t\t} else {\n\t\t\t\tvar resultArray = [];\n\t\t\t\tresults(function(tiddler,title) {\n\t\t\t\t\tresultArray.push(title);\n\t\t\t\t});\n\t\t\t\treturn resultArray;\n\t\t\t}\n\t\t};\n\t\t// Wrap the operator functions in a wrapper function that depends on the prefix\n\t\toperationFunctions.push((function() {\n\t\t\tswitch(operation.prefix || \"\") {\n\t\t\t\tcase \"\": // No prefix means that the operation is unioned into the result\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"-\": // The results of this operation are removed from the main result\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t$tw.utils.removeArrayEntries(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t\tcase \"+\": // This operation is applied to the main results so far\n\t\t\t\t\treturn function(results,source,widget) {\n\t\t\t\t\t\t// This replaces all the elements of the array, but keeps the actual array so that references to it are preserved\n\t\t\t\t\t\tsource = self.makeTiddlerIterator(results);\n\t\t\t\t\t\tresults.splice(0,results.length);\n\t\t\t\t\t\t$tw.utils.pushTop(results,operationSubFunction(source,widget));\n\t\t\t\t\t};\n\t\t\t}\n\t\t})());\n\t});\n\t// Return a function that applies the operations to a source iterator of tiddler titles\n\treturn $tw.perf.measure(\"filter\",function filterFunction(source,widget) {\n\t\tif(!source) {\n\t\t\tsource = self.each;\n\t\t} else if(typeof source === \"object\") { // Array or hashmap\n\t\t\tsource = self.makeTiddlerIterator(source);\n\t\t}\n\t\tvar results = [];\n\t\t$tw.utils.each(operationFunctions,function(operationFunction) {\n\t\t\toperationFunction(results,source,widget);\n\t\t});\n\t\treturn results;\n\t});\n};\n\n})();\n",
"title": "$:/core/modules/filters.js",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/core/modules/info/platform.js": {
"text": "/*\\\ntitle: $:/core/modules/info/platform.js\ntype: application/javascript\nmodule-type: info\n\nInitialise basic platform $:/info/ tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.getInfoTiddlerFields = function() {\n\tvar mapBoolean = function(value) {return value ? \"yes\" : \"no\";},\n\t\tinfoTiddlerFields = [];\n\t// Basics\n\tinfoTiddlerFields.push({title: \"$:/info/browser\", text: mapBoolean(!!$tw.browser)});\n\tinfoTiddlerFields.push({title: \"$:/info/node\", text: mapBoolean(!!$tw.node)});\n\treturn infoTiddlerFields;\n};\n\n})();\n",
"title": "$:/core/modules/info/platform.js",
"type": "application/javascript",
"module-type": "info"
},
"$:/core/modules/language.js": {
"text": "/*\\\ntitle: $:/core/modules/language.js\ntype: application/javascript\nmodule-type: global\n\nThe $tw.Language() manages translateable strings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate an instance of the language manager. Options include:\nwiki: wiki from which to retrieve translation tiddlers\n*/\nfunction Language(options) {\n\toptions = options || \"\";\n\tthis.wiki = options.wiki || $tw.wiki;\n}\n\n/*\nReturn a wikified translateable string. The title is automatically prefixed with \"$:/language/\"\nOptions include:\nvariables: optional hashmap of variables to supply to the language wikification\n*/\nLanguage.prototype.getString = function(title,options) {\n\toptions = options || {};\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.renderTiddler(\"text/plain\",title,{variables: options.variables});\n};\n\n/*\nReturn a raw, unwikified translateable string. The title is automatically prefixed with \"$:/language/\"\n*/\nLanguage.prototype.getRawString = function(title) {\n\ttitle = \"$:/language/\" + title;\n\treturn this.wiki.getTiddlerText(title);\n};\n\nexports.Language = Language;\n\n})();\n",
"title": "$:/core/modules/language.js",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/macros/changecount.js": {
"text": "/*\\\ntitle: $:/core/modules/macros/changecount.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the changecount for the current tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"changecount\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn this.wiki.getChangeCount(this.getVariable(\"currentTiddler\")) + \"\";\n};\n\n})();\n",
"title": "$:/core/modules/macros/changecount.js",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/contrastcolour.js": {
"text": "/*\\\ntitle: $:/core/modules/macros/contrastcolour.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to choose which of two colours has the highest contrast with a base colour\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"contrastcolour\";\n\nexports.params = [\n\t{name: \"target\"},\n\t{name: \"fallbackTarget\"},\n\t{name: \"colourA\"},\n\t{name: \"colourB\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(target,fallbackTarget,colourA,colourB) {\n\tvar rgbTarget = $tw.utils.parseCSSColor(target) || $tw.utils.parseCSSColor(fallbackTarget);\n\tif(!rgbTarget) {\n\t\treturn colourA;\n\t}\n\tvar rgbColourA = $tw.utils.parseCSSColor(colourA),\n\t\trgbColourB = $tw.utils.parseCSSColor(colourB);\n\tif(rgbColourA && !rgbColourB) {\n\t\treturn rgbColourA;\n\t}\n\tif(rgbColourB && !rgbColourA) {\n\t\treturn rgbColourB;\n\t}\n\tif(!rgbColourA && !rgbColourB) {\n\t\t// If neither colour is readable, return a crude inverse of the target\n\t\treturn [255 - rgbTarget[0],255 - rgbTarget[1],255 - rgbTarget[2],rgbTarget[3]];\n\t}\n\t// Colour brightness formula derived from http://www.w3.org/WAI/ER/WD-AERT/#color-contrast\n\tvar brightnessTarget = rgbTarget[0] * 0.299 + rgbTarget[1] * 0.587 + rgbTarget[2] * 0.114,\n\t\tbrightnessA = rgbColourA[0] * 0.299 + rgbColourA[1] * 0.587 + rgbColourA[2] * 0.114,\n\t\tbrightnessB = rgbColourB[0] * 0.299 + rgbColourB[1] * 0.587 + rgbColourB[2] * 0.114;\n\treturn Math.abs(brightnessTarget - brightnessA) > Math.abs(brightnessTarget - brightnessB) ? colourA : colourB;\n};\n\n})();\n",
"title": "$:/core/modules/macros/contrastcolour.js",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/csvtiddlers.js": {
"text": "/*\\\ntitle: $:/core/modules/macros/csvtiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to CSV\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"csvtiddlers\";\n\nexports.params = [\n\t{name: \"filter\"},\n\t{name: \"format\"},\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter,format) {\n\tvar self = this,\n\t\ttiddlers = this.wiki.filterTiddlers(filter),\n\t\ttiddler,\n\t\tfields = [],\n\t\tt,f;\n\t// Collect all the fields\n\tfor(t=0;t<tiddlers.length; t++) {\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\tfor(f in tiddler.fields) {\n\t\t\tif(fields.indexOf(f) === -1) {\n\t\t\t\tfields.push(f);\n\t\t\t}\n\t\t}\n\t}\n\t// Sort the fields and bring the standard ones to the front\n\tfields.sort();\n\t\"title text modified modifier created creator\".split(\" \").reverse().forEach(function(value,index) {\n\t\tvar p = fields.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tfields.splice(p,1);\n\t\t\tfields.unshift(value)\n\t\t}\n\t});\n\t// Output the column headings\n\tvar output = [], row = [];\n\tfields.forEach(function(value) {\n\t\trow.push(quoteAndEscape(value))\n\t});\n\toutput.push(row.join(\",\"));\n\t// Output each tiddler\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\trow = [];\n\t\ttiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\t\tfor(f=0; f<fields.length; f++) {\n\t\t\t\trow.push(quoteAndEscape(tiddler ? tiddler.getFieldString(fields[f]) || \"\" : \"\"));\n\t\t\t}\n\t\toutput.push(row.join(\",\"));\n\t}\n\treturn output.join(\"\\n\");\n};\n\nfunction quoteAndEscape(value) {\n\treturn \"\\\"\" + value.replace(/\"/mg,\"\\\"\\\"\") + \"\\\"\";\n}\n\n})();\n",
"title": "$:/core/modules/macros/csvtiddlers.js",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/dumpvariables.js": {
"text": "/*\\\ntitle: $:/core/modules/macros/dumpvariables.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to dump all active variable values\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"dumpvariables\";\n\nexports.params = [\n];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\tvar output = [\"|!Variable |!Value |\"],\n\t\tvariables = [], variable;\n\tfor(variable in this.variables) {\n\t\tvariables.push(variable);\n\t}\n\tvariables.sort();\n\tfor(var index=0; index<variables.length; index++) {\n\t\tvar variable = variables[index];\n\t\toutput.push(\"|\" + variable + \" |<input size=50 value=<<\" + variable + \">>/> |\")\n\t}\n\treturn output.join(\"\\n\");\n};\n\n})();\n",
"title": "$:/core/modules/macros/dumpvariables.js",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/jsontiddlers.js": {
"text": "/*\\\ntitle: $:/core/modules/macros/jsontiddlers.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to output tiddlers matching a filter to JSON\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"jsontiddlers\";\n\nexports.params = [\n\t{name: \"filter\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(filter) {\n\tvar tiddlers = this.wiki.filterTiddlers(filter),\n\t\tdata = [];\n\tfor(var t=0;t<tiddlers.length; t++) {\n\t\tvar tiddler = this.wiki.getTiddler(tiddlers[t]);\n\t\tif(tiddler) {\n\t\t\tvar fields = new Object();\n\t\t\tfor(var field in tiddler.fields) {\n\t\t\t\tfields[field] = tiddler.getFieldString(field);\n\t\t\t}\n\t\t\tdata.push(fields);\n\t\t}\n\t}\n\treturn JSON.stringify(data,null,$tw.config.preferences.jsonSpaces);\n};\n\n})();\n",
"title": "$:/core/modules/macros/jsontiddlers.js",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/makedatauri.js": {
"text": "/*\\\ntitle: $:/core/modules/macros/makedatauri.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to convert the content of a tiddler to a data URI\n\n<<makedatauri text:\"Text to be converted\" type:\"text/vnd.tiddlywiki\">>\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"makedatauri\";\n\nexports.params = [\n\t{name: \"text\"},\n\t{name: \"type\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(text,type) {\n\treturn $tw.utils.makeDataUri(text,type);\n};\n\n})();\n",
"title": "$:/core/modules/macros/makedatauri.js",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/now.js": {
"text": "/*\\\ntitle: $:/core/modules/macros/now.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return a formatted version of the current time\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"now\";\n\nexports.params = [\n\t{name: \"format\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(format) {\n\treturn $tw.utils.formatDateString(new Date(),format || \"0hh:0mm, DDth MMM YYYY\");\n};\n\n})();\n",
"title": "$:/core/modules/macros/now.js",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/qualify.js": {
"text": "/*\\\ntitle: $:/core/modules/macros/qualify.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to qualify a state tiddler title according\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"qualify\";\n\nexports.params = [\n\t{name: \"title\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(title) {\n\treturn title + \"-\" + this.getStateQualifier();\n};\n\n})();\n",
"title": "$:/core/modules/macros/qualify.js",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/resolvepath.js": {
"text": "/*\\\ntitle: $:/core/modules/macros/resolvepath.js\ntype: application/javascript\nmodule-type: macro\n\nResolves a relative path for an absolute rootpath.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"resolvepath\";\n\nexports.params = [\n\t{name: \"source\"},\n\t{name: \"root\"}\n];\n\n/*\nRun the macro\n*/\nexports.run = function(source, root) {\n\treturn $tw.utils.resolvePath(source, root);\n};\n\n})();\n",
"title": "$:/core/modules/macros/resolvepath.js",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/macros/version.js": {
"text": "/*\\\ntitle: $:/core/modules/macros/version.js\ntype: application/javascript\nmodule-type: macro\n\nMacro to return the TiddlyWiki core version number\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInformation about this macro\n*/\n\nexports.name = \"version\";\n\nexports.params = [];\n\n/*\nRun the macro\n*/\nexports.run = function() {\n\treturn $tw.version;\n};\n\n})();\n",
"title": "$:/core/modules/macros/version.js",
"type": "application/javascript",
"module-type": "macro"
},
"$:/core/modules/parsers/audioparser.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/audioparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe audio parser parses an audio tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar AudioParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"audio\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"audio/ogg\"] = AudioParser;\nexports[\"audio/mpeg\"] = AudioParser;\nexports[\"audio/mp3\"] = AudioParser;\nexports[\"audio/mp4\"] = AudioParser;\n\n})();\n\n",
"title": "$:/core/modules/parsers/audioparser.js",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/csvparser.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/csvparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe CSV text parser processes CSV files into a table wrapped in a scrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar CsvParser = function(type,text,options) {\n\t// Table framework\n\tthis.tree = [{\n\t\t\"type\": \"scrollable\", \"children\": [{\n\t\t\t\"type\": \"element\", \"tag\": \"table\", \"children\": [{\n\t\t\t\t\"type\": \"element\", \"tag\": \"tbody\", \"children\": []\n\t\t\t}], \"attributes\": {\n\t\t\t\t\"class\": {\"type\": \"string\", \"value\": \"tc-csv-table\"}\n\t\t\t}\n\t\t}]\n\t}];\n\t// Split the text into lines\n\tvar lines = text.split(/\\r?\\n/mg),\n\t\ttag = \"th\";\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar lineText = lines[line];\n\t\tif(lineText) {\n\t\t\tvar row = {\n\t\t\t\t\t\"type\": \"element\", \"tag\": \"tr\", \"children\": []\n\t\t\t\t};\n\t\t\tvar columns = lineText.split(\",\");\n\t\t\tfor(var column=0; column<columns.length; column++) {\n\t\t\t\trow.children.push({\n\t\t\t\t\t\t\"type\": \"element\", \"tag\": tag, \"children\": [{\n\t\t\t\t\t\t\t\"type\": \"text\",\n\t\t\t\t\t\t\t\"text\": columns[column]\n\t\t\t\t\t\t}]\n\t\t\t\t\t});\n\t\t\t}\n\t\t\ttag = \"td\";\n\t\t\tthis.tree[0].children[0].children[0].children.push(row);\n\t\t}\n\t}\n};\n\nexports[\"text/csv\"] = CsvParser;\n\n})();\n\n",
"title": "$:/core/modules/parsers/csvparser.js",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/htmlparser.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/htmlparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe HTML parser displays text as raw HTML\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar HtmlParser = function(type,text,options) {\n\tvar src;\n\tif(options._canonical_uri) {\n\t\tsrc = options._canonical_uri;\n\t} else if(text) {\n\t\tsrc = \"data:text/html;charset=utf-8,\" + encodeURIComponent(text);\n\t}\n\tthis.tree = [{\n\t\ttype: \"element\",\n\t\ttag: \"iframe\",\n\t\tattributes: {\n\t\t\tsrc: {type: \"string\", value: src},\n\t\t\tsandbox: {type: \"string\", value: \"sandbox\"}\n\t\t}\n\t}];\n};\n\nexports[\"text/html\"] = HtmlParser;\n\n})();\n\n",
"title": "$:/core/modules/parsers/htmlparser.js",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/imageparser.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/imageparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe image parser parses an image into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ImageParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"img\",\n\t\t\tattributes: {}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t\tif(type === \"application/pdf\" || type === \".pdf\") {\n\t\t\telement.tag = \"embed\";\n\t\t}\n\t} else if(text) {\n\t\tif(type === \"application/pdf\" || type === \".pdf\") {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:application/pdf;base64,\" + text};\n\t\t\telement.tag = \"embed\";\n\t\t} else if(type === \"image/svg+xml\" || type === \".svg\") {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:image/svg+xml,\" + encodeURIComponent(text)};\n\t\t} else {\n\t\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t\t}\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"image/svg+xml\"] = ImageParser;\nexports[\"image/jpg\"] = ImageParser;\nexports[\"image/jpeg\"] = ImageParser;\nexports[\"image/png\"] = ImageParser;\nexports[\"image/gif\"] = ImageParser;\nexports[\"application/pdf\"] = ImageParser;\nexports[\"image/x-icon\"] = ImageParser;\n\n})();\n\n",
"title": "$:/core/modules/parsers/imageparser.js",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/utils/parseutils.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/parseutils.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions concerned with parsing text into tokens.\n\nMost functions have the following pattern:\n\n* The parameters are:\n** `source`: the source string being parsed\n** `pos`: the current parse position within the string\n** Any further parameters are used to identify the token that is being parsed\n* The return value is:\n** null if the token was not found at the specified position\n** an object representing the token with the following standard fields:\n*** `type`: string indicating the type of the token\n*** `start`: start position of the token in the source string\n*** `end`: end position of the token in the source string\n*** Any further fields required to describe the token\n\nThe exception is `skipWhiteSpace`, which just returns the position after the whitespace.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for a whitespace token. Returns null if not found, otherwise returns {type: \"whitespace\", start:, end:,}\n*/\nexports.parseWhiteSpace = function(source,pos) {\n\tvar p = pos,c;\n\twhile(true) {\n\t\tc = source.charAt(p);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tp++;\n\t\t} else {\n\t\t\tbreak;\n\t\t}\n\t}\n\tif(p === pos) {\n\t\treturn null;\n\t} else {\n\t\treturn {\n\t\t\ttype: \"whitespace\",\n\t\t\tstart: pos,\n\t\t\tend: p\n\t\t}\n\t}\n};\n\n/*\nConvenience wrapper for parseWhiteSpace. Returns the position after the whitespace\n*/\nexports.skipWhiteSpace = function(source,pos) {\n\tvar c;\n\twhile(true) {\n\t\tc = source.charAt(pos);\n\t\tif((c === \" \") || (c === \"\\f\") || (c === \"\\n\") || (c === \"\\r\") || (c === \"\\t\") || (c === \"\\v\") || (c === \"\\u00a0\")) { // Ignores some obscure unicode spaces\n\t\t\tpos++;\n\t\t} else {\n\t\t\treturn pos;\n\t\t}\n\t}\n};\n\n/*\nLook for a given string token. Returns null if not found, otherwise returns {type: \"token\", value:, start:, end:,}\n*/\nexports.parseTokenString = function(source,pos,token) {\n\tvar match = source.indexOf(token,pos) === pos;\n\tif(match) {\n\t\treturn {\n\t\t\ttype: \"token\",\n\t\t\tvalue: token,\n\t\t\tstart: pos,\n\t\t\tend: pos + token.length\n\t\t};\n\t}\n\treturn null;\n};\n\n/*\nLook for a token matching a regex. Returns null if not found, otherwise returns {type: \"regexp\", match:, start:, end:,}\n*/\nexports.parseTokenRegExp = function(source,pos,reToken) {\n\tvar node = {\n\t\ttype: \"regexp\",\n\t\tstart: pos\n\t};\n\treToken.lastIndex = pos;\n\tnode.match = reToken.exec(source);\n\tif(node.match && node.match.index === pos) {\n\t\tnode.end = pos + node.match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a string literal. Returns null if not found, otherwise returns {type: \"string\", value:, start:, end:,}\n*/\nexports.parseStringLiteral = function(source,pos) {\n\tvar node = {\n\t\ttype: \"string\",\n\t\tstart: pos\n\t};\n\tvar reString = /(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\")|(?:'([^']*)')/g;\n\treString.lastIndex = pos;\n\tvar match = reString.exec(source);\n\tif(match && match.index === pos) {\n\t\tnode.value = match[1] !== undefined ? match[1] :(\n\t\t\tmatch[2] !== undefined ? match[2] : match[3] \n\t\t\t\t\t);\n\t\tnode.end = pos + match[0].length;\n\t\treturn node;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLook for a macro invocation parameter. Returns null if not found, or {type: \"macro-parameter\", name:, value:, start:, end:}\n*/\nexports.parseMacroParameter = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macro-parameter\",\n\t\tstart: pos\n\t};\n\t// Define our regexp\n\tvar reMacroParameter = /(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\\s>\"'=]+)))/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the parameter\n\tvar token = $tw.utils.parseTokenRegExp(source,pos,reMacroParameter);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the parameter details\n\tnode.value = token.match[2] !== undefined ? token.match[2] : (\n\t\t\t\t\ttoken.match[3] !== undefined ? token.match[3] : (\n\t\t\t\t\t\ttoken.match[4] !== undefined ? token.match[4] : (\n\t\t\t\t\t\t\ttoken.match[5] !== undefined ? token.match[5] : (\n\t\t\t\t\t\t\t\ttoken.match[6] !== undefined ? token.match[6] : (\n\t\t\t\t\t\t\t\t\t\"\"\n\t\t\t\t\t\t\t\t)\n\t\t\t\t\t\t\t)\n\t\t\t\t\t\t)\n\t\t\t\t\t)\n\t\t\t\t);\n\tif(token.match[1]) {\n\t\tnode.name = token.match[1];\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for a macro invocation. Returns null if not found, or {type: \"macrocall\", name:, parameters:, start:, end:}\n*/\nexports.parseMacroInvocation = function(source,pos) {\n\tvar node = {\n\t\ttype: \"macrocall\",\n\t\tstart: pos,\n\t\tparams: []\n\t};\n\t// Define our regexps\n\tvar reMacroName = /([^\\s>\"'=]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double less than sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"<<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the macro name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reMacroName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Process parameters\n\tvar parameter = $tw.utils.parseMacroParameter(source,pos);\n\twhile(parameter) {\n\t\tnode.params.push(parameter);\n\t\tpos = parameter.end;\n\t\t// Get the next parameter\n\t\tparameter = $tw.utils.parseMacroParameter(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a double greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">>\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n/*\nLook for an HTML attribute definition. Returns null if not found, otherwise returns {type: \"attribute\", name:, valueType: \"string|indirect|macro\", value:, start:, end:,}\n*/\nexports.parseAttribute = function(source,pos) {\n\tvar node = {\n\t\tstart: pos\n\t};\n\t// Define our regexps\n\tvar reAttributeName = /([^\\/\\s>\"'=]+)/g,\n\t\treUnquotedAttribute = /([^\\/\\s<>\"'=]+)/g,\n\t\treIndirectValue = /\\{\\{([^\\}]+)\\}\\}/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the attribute name\n\tvar name = $tw.utils.parseTokenRegExp(source,pos,reAttributeName);\n\tif(!name) {\n\t\treturn null;\n\t}\n\tnode.name = name.match[1];\n\tpos = name.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for an equals sign\n\tvar token = $tw.utils.parseTokenString(source,pos,\"=\");\n\tif(token) {\n\t\tpos = token.end;\n\t\t// Skip whitespace\n\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t// Look for a string literal\n\t\tvar stringLiteral = $tw.utils.parseStringLiteral(source,pos);\n\t\tif(stringLiteral) {\n\t\t\tpos = stringLiteral.end;\n\t\t\tnode.type = \"string\";\n\t\t\tnode.value = stringLiteral.value;\n\t\t} else {\n\t\t\t// Look for an indirect value\n\t\t\tvar indirectValue = $tw.utils.parseTokenRegExp(source,pos,reIndirectValue);\n\t\t\tif(indirectValue) {\n\t\t\t\tpos = indirectValue.end;\n\t\t\t\tnode.type = \"indirect\";\n\t\t\t\tnode.textReference = indirectValue.match[1];\n\t\t\t} else {\n\t\t\t\t// Look for a unquoted value\n\t\t\t\tvar unquotedValue = $tw.utils.parseTokenRegExp(source,pos,reUnquotedAttribute);\n\t\t\t\tif(unquotedValue) {\n\t\t\t\t\tpos = unquotedValue.end;\n\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\tnode.value = unquotedValue.match[1];\n\t\t\t\t} else {\n\t\t\t\t\t// Look for a macro invocation value\n\t\t\t\t\tvar macroInvocation = $tw.utils.parseMacroInvocation(source,pos);\n\t\t\t\t\tif(macroInvocation) {\n\t\t\t\t\t\tpos = macroInvocation.end;\n\t\t\t\t\t\tnode.type = \"macro\";\n\t\t\t\t\t\tnode.value = macroInvocation;\n\t\t\t\t\t} else {\n\t\t\t\t\t\tnode.type = \"string\";\n\t\t\t\t\t\tnode.value = \"true\";\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t} else {\n\t\tnode.type = \"string\";\n\t\tnode.value = \"true\";\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
"title": "$:/core/modules/utils/parseutils.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/parsers/textparser.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/textparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe plain text parser processes blocks of source text into a degenerate parse tree consisting of a single text node\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar TextParser = function(type,text,options) {\n\tthis.tree = [{\n\t\ttype: \"codeblock\",\n\t\tattributes: {\n\t\t\tcode: {type: \"string\", value: text},\n\t\t\tlanguage: {type: \"string\", value: type}\n\t\t}\n\t}];\n};\n\nexports[\"text/plain\"] = TextParser;\nexports[\"text/x-tiddlywiki\"] = TextParser;\nexports[\"application/javascript\"] = TextParser;\nexports[\"application/json\"] = TextParser;\nexports[\"text/css\"] = TextParser;\nexports[\"application/x-tiddler-dictionary\"] = TextParser;\n\n})();\n\n",
"title": "$:/core/modules/parsers/textparser.js",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/videoparser.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/videoparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe video parser parses a video tiddler into an embeddable HTML element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar AudioParser = function(type,text,options) {\n\tvar element = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"video\",\n\t\t\tattributes: {\n\t\t\t\tcontrols: {type: \"string\", value: \"controls\"}\n\t\t\t}\n\t\t},\n\t\tsrc;\n\tif(options._canonical_uri) {\n\t\telement.attributes.src = {type: \"string\", value: options._canonical_uri};\n\t} else if(text) {\n\t\telement.attributes.src = {type: \"string\", value: \"data:\" + type + \";base64,\" + text};\n\t}\n\tthis.tree = [element];\n};\n\nexports[\"video/mp4\"] = AudioParser;\n\n})();\n\n",
"title": "$:/core/modules/parsers/videoparser.js",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/wikiparser/rules/codeblock.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for code blocks. For example:\n\n```\n\t```\n\tThis text will not be //wikified//\n\t```\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match and get language if defined\n\tthis.matchRegExp = /```([\\w-]*)\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\\r?\\n```$)/mg;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Return the $codeblock widget\n\treturn [{\n\t\t\ttype: \"codeblock\",\n\t\t\tattributes: {\n\t\t\t\t\tcode: {type: \"string\", value: text},\n\t\t\t\t\tlanguage: {type: \"string\", value: this.match[1]}\n\t\t\t}\n\t}];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/codeblock.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/codeinline.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/codeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for code runs. For example:\n\n```\n\tThis is a `code run`.\n\tThis is another ``code run``\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"codeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(``?)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar reEnd = new RegExp(this.match[1], \"mg\");\n\t// Look for the end marker\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the text\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"code\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: text\n\t\t}]\n\t}];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/codeinline.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/commentblock.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/commentblock.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/commentinline.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/commentinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML comments. For example:\n\n```\n<!-- This is a comment -->\n```\n\nNote that the syntax for comments is simplified to an opening \"<!--\" sequence and a closing \"-->\" sequence -- HTML itself implements a more complex format (see http://ostermiller.org/findhtmlcomment.html)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"commentinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\tthis.matchRegExp = /<!--/mg;\n\tthis.endMatchRegExp = /-->/mg;\n};\n\nexports.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\tif(this.match) {\n\t\tthis.endMatchRegExp.lastIndex = startPos + this.match[0].length;\n\t\tthis.endMatch = this.endMatchRegExp.exec(this.parser.source);\n\t\tif(this.endMatch) {\n\t\t\treturn this.match.index;\n\t\t}\n\t}\n\treturn undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.endMatchRegExp.lastIndex;\n\t// Don't return any elements\n\treturn [];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/commentinline.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/dash.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/dash.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for dashes. For example:\n\n```\nThis is an en-dash: --\n\nThis is an em-dash: ---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"dash\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{2,3}(?!-)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar dash = this.match[0].length === 2 ? \"–\" : \"—\";\n\treturn [{\n\t\ttype: \"entity\",\n\t\tentity: dash\n\t}];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/dash.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/bold.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - bold. For example:\n\n```\n\tThis is ''bold'' text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except bold \n\\rules only bold \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"bold\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /''/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/''/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strong\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/bold.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/italic.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - italic. For example:\n\n```\n\tThis is //italic// text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except italic\n\\rules only italic\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"italic\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\/\\//mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\/\\//mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"em\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/italic.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - strikethrough. For example:\n\n```\n\tThis is ~~strikethrough~~ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except strikethrough \n\\rules only strikethrough \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"strikethrough\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~~/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/~~/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"strike\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/strikethrough.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - subscript. For example:\n\n```\n\tThis is ,,subscript,, text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except subscript \n\\rules only subscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"subscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /,,/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/,,/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sub\",\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/subscript.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - superscript. For example:\n\n```\n\tThis is ^^superscript^^ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except superscript \n\\rules only superscript \n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"superscript\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\^\\^/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/\\^\\^/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"sup\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/superscript.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for emphasis - underscore. For example:\n\n```\n\tThis is __underscore__ text\n```\n\nThis wikiparser can be modified using the rules eg:\n\n```\n\\rules except underscore \n\\rules only underscore\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"underscore\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /__/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\n\t// Parse the run including the terminator\n\tvar tree = this.parser.parseInlineRun(/__/mg,{eatTerminator: true});\n\n\t// Return the classed span\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"u\",\n\t\tchildren: tree\n\t}];\n};\n\n})();",
"title": "$:/core/modules/parsers/wikiparser/rules/emphasis/underscore.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/entity.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/entity.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for HTML entities. For example:\n\n```\n\tThis is a copyright symbol: ©\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"entity\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(&#?[a-zA-Z0-9]{2,8};)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar entityString = this.match[1];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Return the entity\n\treturn [{type: \"entity\", entity: this.match[0]}];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/entity.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/extlink.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/extlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\nAn external link: http://www.tiddlywiki.com/\n\nA suppressed external link: ~http://www.tiddlyspace.com/\n```\n\nExternal links can be suppressed by preceding them with `~`.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"extlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~?(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|'\"\\\\^~]+(?:\\/|\\b)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(this.match[0].substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: this.match[0].substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: this.match[0]},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: this.match[0]\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/extlink.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t},\n\t\tisBlock: true\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeblock.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline filtered transclusion. For example:\n\n```\n{{{ [tag[docs]] }}}\n{{{ [tag[docs]] |tooltip}}}\n{{{ [tag[docs]] ||TemplateTitle}}}\n{{{ [tag[docs]] |tooltip||TemplateTitle}}}\n{{{ [tag[docs]] }}width:40;height:50;}.class.class\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"filteredtranscludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{\\{([^\\|]+?)(?:\\|([^\\|\\{\\}]+))?(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}([^\\}]*)\\}(?:\\.(\\S+))?/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar filter = this.match[1],\n\t\ttooltip = this.match[2],\n\t\ttemplate = $tw.utils.trim(this.match[3]),\n\t\tstyle = this.match[4],\n\t\tclasses = this.match[5];\n\t// Return the list widget\n\tvar node = {\n\t\ttype: \"list\",\n\t\tattributes: {\n\t\t\tfilter: {type: \"string\", value: filter}\n\t\t}\n\t};\n\tif(tooltip) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: tooltip};\n\t}\n\tif(template) {\n\t\tnode.attributes.template = {type: \"string\", value: template};\n\t}\n\tif(style) {\n\t\tnode.attributes.style = {type: \"string\", value: style};\n\t}\n\tif(classes) {\n\t\tnode.attributes.itemClass = {type: \"string\", value: classes.split(\".\").join(\" \")};\n\t}\n\treturn [node];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/filteredtranscludeinline.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for marking areas with hard line breaks. For example:\n\n```\n\"\"\"\nThis is some text\nThat is set like\nIt is a Poem\nWhen it is\nClearly\nNot\n\"\"\"\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"hardlinebreaks\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\"\"\"(?:\\r?\\n)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /(\"\"\")|(\\r?\\n)/mg,\n\t\ttree = [],\n\t\tmatch;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tdo {\n\t\t// Parse the run up to the terminator\n\t\ttree.push.apply(tree,this.parser.parseInlineRun(reEnd,{eatTerminator: false}));\n\t\t// Redo the terminator match\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tmatch = reEnd.exec(this.parser.source);\n\t\tif(match) {\n\t\t\tthis.parser.pos = reEnd.lastIndex;\n\t\t\t// Add a line break if the terminator was a line break\n\t\t\tif(match[2]) {\n\t\t\t\ttree.push({type: \"element\", tag: \"br\"});\n\t\t\t}\n\t\t}\n\t} while(match && !match[1]);\n\t// Return the nodes\n\treturn tree;\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/hardlinebreaks.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/heading.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/heading.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for headings\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"heading\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(!{1,6})/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar headingLevel = this.match[1].length;\n\t// Move past the !s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse any classes, whitespace and then the heading itself\n\tvar classes = this.parser.parseClasses();\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// Return the heading\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"h\" + headingLevel, \n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: classes.join(\" \")}\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/heading.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/horizrule.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/horizrule.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for rules. For example:\n\n```\n---\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"horizrule\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /-{3,}\\r?(?:\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\treturn [{type: \"element\", tag: \"hr\"}];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/horizrule.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/html.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/html.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for HTML elements and widgets. For example:\n\n{{{\n<aside>\nThis is an HTML5 aside element\n</aside>\n\n<$slider target=\"MyTiddler\">\nThis is a widget invocation\n</$slider>\n\n}}}\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"html\";\nexports.types = {inline: true, block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextTag = this.findNextTag(this.parser.source,startPos,{\n\t\trequireLineBreak: this.is.block\n\t});\n\treturn this.nextTag ? this.nextTag.start : undefined;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Retrieve the most recent match so that recursive calls don't overwrite it\n\tvar tag = this.nextTag;\n\tthis.nextTag = null;\n\t// Advance the parser position to past the tag\n\tthis.parser.pos = tag.end;\n\t// Check for an immediately following double linebreak\n\tvar hasLineBreak = !tag.isSelfClosing && !!$tw.utils.parseTokenRegExp(this.parser.source,this.parser.pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t// Set whether we're in block mode\n\ttag.isBlock = this.is.block || hasLineBreak;\n\t// Parse the body if we need to\n\tif(!tag.isSelfClosing && $tw.config.htmlVoidElements.indexOf(tag.tag) === -1) {\n\t\t\tvar reEndString = \"</\" + $tw.utils.escapeRegExp(tag.tag) + \">\",\n\t\t\t\treEnd = new RegExp(\"(\" + reEndString + \")\",\"mg\");\n\t\tif(hasLineBreak) {\n\t\t\ttag.children = this.parser.parseBlocks(reEndString);\n\t\t} else {\n\t\t\ttag.children = this.parser.parseInlineRun(reEnd);\n\t\t}\n\t\treEnd.lastIndex = this.parser.pos;\n\t\tvar endMatch = reEnd.exec(this.parser.source);\n\t\tif(endMatch && endMatch.index === this.parser.pos) {\n\t\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t\t}\n\t}\n\t// Return the tag\n\treturn [tag];\n};\n\n/*\nLook for an HTML tag. Returns null if not found, otherwise returns {type: \"element\", name:, attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseTag = function(source,pos,options) {\n\toptions = options || {};\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Define our regexps\n\tvar reTagName = /([a-zA-Z0-9\\-\\$]+)/g;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a less than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\"<\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Get the tag name\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,reTagName);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tnode.tag = token.match[1];\n\tif(node.tag.charAt(0) === \"$\") {\n\t\tnode.type = node.tag.substr(1);\n\t}\n\tpos = token.end;\n\t// Process attributes\n\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\twhile(attribute) {\n\t\tnode.attributes[attribute.name] = attribute;\n\t\tpos = attribute.end;\n\t\t// Get the next attribute\n\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for a closing slash\n\ttoken = $tw.utils.parseTokenString(source,pos,\"/\");\n\tif(token) {\n\t\tpos = token.end;\n\t\tnode.isSelfClosing = true;\n\t}\n\t// Look for a greater than sign\n\ttoken = $tw.utils.parseTokenString(source,pos,\">\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Check for a required line break\n\tif(options.requireLineBreak) {\n\t\ttoken = $tw.utils.parseTokenRegExp(source,pos,/([^\\S\\n\\r]*\\r?\\n(?:[^\\S\\n\\r]*\\r?\\n|$))/g);\n\t\tif(!token) {\n\t\t\treturn null;\n\t\t}\n\t}\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\nexports.findNextTag = function(source,pos,options) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /<([a-zA-Z\\-\\$]+)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseTag(source,match.index,options);\n\t\t// Return success\n\t\tif(tag && this.isLegalTag(tag)) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\nexports.isLegalTag = function(tag) {\n\t// Widgets are always OK\n\tif(tag.type !== \"element\") {\n\t\treturn true;\n\t// If it's an HTML tag that starts with a dash then it's not legal\n\t} else if(tag.tag.charAt(0) === \"-\") {\n\t\treturn false;\n\t} else {\n\t\t// Otherwise it's OK\n\t\treturn true;\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/html.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/image.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/image.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for embedding images. For example:\n\n```\n[img[http://tiddlywiki.com/fractalveg.jpg]]\n[img width=23 height=24 [http://tiddlywiki.com/fractalveg.jpg]]\n[img width={{!!width}} height={{!!height}} [http://tiddlywiki.com/fractalveg.jpg]]\n[img[Description of image|http://tiddlywiki.com/fractalveg.jpg]]\n[img[TiddlerTitle]]\n[img[Description of image|TiddlerTitle]]\n```\n\nGenerates the `<$image>` widget.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"image\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextImage = this.findNextImage(this.parser.source,startPos);\n\treturn this.nextImage ? this.nextImage.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextImage.end;\n\tvar node = {\n\t\ttype: \"image\",\n\t\tattributes: this.nextImage.attributes\n\t};\n\treturn [node];\n};\n\n/*\nFind the next image from the current position\n*/\nexports.findNextImage = function(source,pos) {\n\t// A regexp for finding candidate HTML tags\n\tvar reLookahead = /(\\[img)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a tag\n\t\tvar tag = this.parseImage(source,match.index);\n\t\t// Return success\n\t\tif(tag) {\n\t\t\treturn tag;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an image at the specified position. Returns null if not found, otherwise returns {type: \"image\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseImage = function(source,pos) {\n\tvar token,\n\t\tnode = {\n\t\t\ttype: \"image\",\n\t\t\tstart: pos,\n\t\t\tattributes: {}\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[img`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[img\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Process attributes\n\tif(source.charAt(pos) !== \"[\") {\n\t\tvar attribute = $tw.utils.parseAttribute(source,pos);\n\t\twhile(attribute) {\n\t\t\tnode.attributes[attribute.name] = attribute;\n\t\t\tpos = attribute.end;\n\t\t\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t\t\tif(source.charAt(pos) !== \"[\") {\n\t\t\t\t// Get the next attribute\n\t\t\t\tattribute = $tw.utils.parseAttribute(source,pos);\n\t\t\t} else {\n\t\t\t\tattribute = null;\n\t\t\t}\n\t\t}\n\t}\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[` after the attributes\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Get the source up to the terminating `]]`\n\ttoken = $tw.utils.parseTokenRegExp(source,pos,/(?:([^|\\]]*?)\\|)?([^\\]]+?)\\]\\]/g);\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\tif(token.match[1]) {\n\t\tnode.attributes.tooltip = {type: \"string\", value: token.match[1].trim()};\n\t}\n\tnode.attributes.source = {type: \"string\", value: (token.match[2] || \"\").trim()};\n\t// Update the end position\n\tnode.end = pos;\n\treturn node;\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/image.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/list.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/list.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for lists. For example:\n\n```\n* This is an unordered list\n* It has two items\n\n# This is a numbered list\n## With a subitem\n# And a third item\n\n; This is a term that is being defined\n: This is the definition of that term\n```\n\nNote that lists can be nested arbitrarily:\n\n```\n#** One\n#* Two\n#** Three\n#**** Four\n#**# Five\n#**## Six\n## Seven\n### Eight\n## Nine\n```\n\nA CSS class can be applied to a list item as follows:\n\n```\n* List item one\n*.active List item two has the class `active`\n* List item three\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"list\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /([\\*#;:>]+)/mg;\n};\n\nvar listTypes = {\n\t\"*\": {listTag: \"ul\", itemTag: \"li\"},\n\t\"#\": {listTag: \"ol\", itemTag: \"li\"},\n\t\";\": {listTag: \"dl\", itemTag: \"dt\"},\n\t\":\": {listTag: \"dl\", itemTag: \"dd\"},\n\t\">\": {listTag: \"blockquote\", itemTag: \"p\"}\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Array of parse tree nodes for the previous row of the list\n\tvar listStack = [];\n\t// Cycle through the items in the list\n\twhile(true) {\n\t\t// Match the list marker\n\t\tvar reMatch = /([\\*#;:>]+)/mg;\n\t\treMatch.lastIndex = this.parser.pos;\n\t\tvar match = reMatch.exec(this.parser.source);\n\t\tif(!match || match.index !== this.parser.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check whether the list type of the top level matches\n\t\tvar listInfo = listTypes[match[0].charAt(0)];\n\t\tif(listStack.length > 0 && listStack[0].tag !== listInfo.listTag) {\n\t\t\tbreak;\n\t\t}\n\t\t// Move past the list marker\n\t\tthis.parser.pos = match.index + match[0].length;\n\t\t// Walk through the list markers for the current row\n\t\tfor(var t=0; t<match[0].length; t++) {\n\t\t\tlistInfo = listTypes[match[0].charAt(t)];\n\t\t\t// Remove any stacked up element if we can't re-use it because the list type doesn't match\n\t\t\tif(listStack.length > t && listStack[t].tag !== listInfo.listTag) {\n\t\t\t\tlistStack.splice(t,listStack.length - t);\n\t\t\t}\n\t\t\t// Construct the list element or reuse the previous one at this level\n\t\t\tif(listStack.length <= t) {\n\t\t\t\tvar listElement = {type: \"element\", tag: listInfo.listTag, children: [\n\t\t\t\t\t{type: \"element\", tag: listInfo.itemTag, children: []}\n\t\t\t\t]};\n\t\t\t\t// Link this list element into the last child item of the parent list item\n\t\t\t\tif(t) {\n\t\t\t\t\tvar prevListItem = listStack[t-1].children[listStack[t-1].children.length-1];\n\t\t\t\t\tprevListItem.children.push(listElement);\n\t\t\t\t}\n\t\t\t\t// Save this element in the stack\n\t\t\t\tlistStack[t] = listElement;\n\t\t\t} else if(t === (match[0].length - 1)) {\n\t\t\t\tlistStack[t].children.push({type: \"element\", tag: listInfo.itemTag, children: []});\n\t\t\t}\n\t\t}\n\t\tif(listStack.length > match[0].length) {\n\t\t\tlistStack.splice(match[0].length,listStack.length - match[0].length);\n\t\t}\n\t\t// Process the body of the list item into the last list item\n\t\tvar lastListChildren = listStack[listStack.length-1].children,\n\t\t\tlastListItem = lastListChildren[lastListChildren.length-1],\n\t\t\tclasses = this.parser.parseClasses();\n\t\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\t\tvar tree = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t\tlastListItem.children.push.apply(lastListItem.children,tree);\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(lastListItem,classes.join(\" \"));\n\t\t}\n\t\t// Consume any whitespace following the list item\n\t\tthis.parser.skipWhitespace();\n\t}\n\t// Return the root element of the list\n\treturn [listStack[0]];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/list.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrocallblock.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for block macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^>\\s]+)(?:\\s*)((?:[^>]|(?:>(?!>)))*?)>>(?:\\r?\\n|$)/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params,\n\t\tisBlock: true\n\t}];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/macrocallblock.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrocallinline.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrocallinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki rule for macro calls\n\n```\n<<name value value2>>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrocallinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /<<([^\\s>]+)\\s*([\\s\\S]*?)>>/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get all the details of the match\n\tvar macroName = this.match[1],\n\t\tparamString = this.match[2];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\tvar params = [],\n\t\treParam = /\\s*(?:([A-Za-z0-9\\-_]+)\\s*:)?(?:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))/mg,\n\t\tparamMatch = reParam.exec(paramString);\n\twhile(paramMatch) {\n\t\t// Process this parameter\n\t\tvar paramInfo = {\n\t\t\tvalue: paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5]|| paramMatch[6]\n\t\t};\n\t\tif(paramMatch[1]) {\n\t\t\tparamInfo.name = paramMatch[1];\n\t\t}\n\t\tparams.push(paramInfo);\n\t\t// Find the next match\n\t\tparamMatch = reParam.exec(paramString);\n\t}\n\treturn [{\n\t\ttype: \"macrocall\",\n\t\tname: macroName,\n\t\tparams: params\n\t}];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/macrocallinline.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/macrodef.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/macrodef.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for macro definitions\n\n```\n\\define name(param:defaultvalue,param2:defaultvalue)\ndefinition text, including $param$ markers\n\\end\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"macrodef\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\define\\s+([^(\\s]+)\\(\\s*([^)]*)\\)(\\s*\\r?\\n)?/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the macro name and parameters\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the parameters\n\tvar paramString = this.match[2],\n\t\tparams = [];\n\tif(paramString !== \"\") {\n\t\tvar reParam = /\\s*([A-Za-z0-9\\-_]+)(?:\\s*:\\s*(?:\"\"\"([\\s\\S]*?)\"\"\"|\"([^\"]*)\"|'([^']*)'|\\[\\[([^\\]]*)\\]\\]|([^\"'\\s]+)))?/mg,\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\twhile(paramMatch) {\n\t\t\t// Save the parameter details\n\t\t\tvar paramInfo = {name: paramMatch[1]},\n\t\t\t\tdefaultValue = paramMatch[2] || paramMatch[3] || paramMatch[4] || paramMatch[5] || paramMatch[6];\n\t\t\tif(defaultValue) {\n\t\t\t\tparamInfo[\"default\"] = defaultValue;\n\t\t\t}\n\t\t\tparams.push(paramInfo);\n\t\t\t// Look for the next parameter\n\t\t\tparamMatch = reParam.exec(paramString);\n\t\t}\n\t}\n\t// Is this a multiline definition?\n\tvar reEnd;\n\tif(this.match[3]) {\n\t\t// If so, the end of the body is marked with \\end\n\t\treEnd = /(\\r?\\n\\\\end[^\\S\\n\\r]*(?:$|\\r?\\n))/mg;\n\t} else {\n\t\t// Otherwise, the end of the definition is marked by the end of the line\n\t\treEnd = /(\\r?\\n)/mg;\n\t\t// Move past any whitespace\n\t\tthis.parser.pos = $tw.utils.skipWhiteSpace(this.parser.source,this.parser.pos);\n\t}\n\t// Find the end of the definition\n\treEnd.lastIndex = this.parser.pos;\n\tvar text,\n\t\tendMatch = reEnd.exec(this.parser.source);\n\tif(endMatch) {\n\t\ttext = this.parser.source.substring(this.parser.pos,endMatch.index);\n\t\tthis.parser.pos = endMatch.index + endMatch[0].length;\n\t} else {\n\t\t// We didn't find the end of the definition, so we'll make it blank\n\t\ttext = \"\";\n\t}\n\t// Save the macro definition\n\treturn [{\n\t\ttype: \"set\",\n\t\tattributes: {\n\t\t\tname: {type: \"string\", value: this.match[1]},\n\t\t\tvalue: {type: \"string\", value: text}\n\t\t},\n\t\tchildren: [],\n\t\tparams: params\n\t}];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/macrodef.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/prettyextlink.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettyextlink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for external links. For example:\n\n```\n[ext[http://tiddlywiki.com/fractalveg.jpg]]\n[ext[Tooltip|http://tiddlywiki.com/fractalveg.jpg]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettyextlink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n};\n\nexports.findNextMatch = function(startPos) {\n\t// Find the next tag\n\tthis.nextLink = this.findNextLink(this.parser.source,startPos);\n\treturn this.nextLink ? this.nextLink.start : undefined;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.nextLink.end;\n\treturn [this.nextLink];\n};\n\n/*\nFind the next link from the current position\n*/\nexports.findNextLink = function(source,pos) {\n\t// A regexp for finding candidate links\n\tvar reLookahead = /(\\[ext\\[)/g;\n\t// Find the next candidate\n\treLookahead.lastIndex = pos;\n\tvar match = reLookahead.exec(source);\n\twhile(match) {\n\t\t// Try to parse the candidate as a link\n\t\tvar link = this.parseLink(source,match.index);\n\t\t// Return success\n\t\tif(link) {\n\t\t\treturn link;\n\t\t}\n\t\t// Look for the next match\n\t\treLookahead.lastIndex = match.index + 1;\n\t\tmatch = reLookahead.exec(source);\n\t}\n\t// Failed\n\treturn null;\n};\n\n/*\nLook for an link at the specified position. Returns null if not found, otherwise returns {type: \"element\", tag: \"a\", attributes: [], isSelfClosing:, start:, end:,}\n*/\nexports.parseLink = function(source,pos) {\n\tvar token,\n\t\ttextNode = {\n\t\t\ttype: \"text\"\n\t\t},\n\t\tnode = {\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tstart: pos,\n\t\t\tattributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t},\n\t\t\tchildren: [textNode]\n\t\t};\n\t// Skip whitespace\n\tpos = $tw.utils.skipWhiteSpace(source,pos);\n\t// Look for the `[ext[`\n\ttoken = $tw.utils.parseTokenString(source,pos,\"[ext[\");\n\tif(!token) {\n\t\treturn null;\n\t}\n\tpos = token.end;\n\t// Look ahead for the terminating `]]`\n\tvar closePos = source.indexOf(\"]]\",pos);\n\tif(closePos === -1) {\n\t\treturn null;\n\t}\n\t// Look for a `|` separating the tooltip\n\tvar splitPos = source.indexOf(\"|\",pos);\n\tif(splitPos === -1 || splitPos > closePos) {\n\t\tsplitPos = null;\n\t}\n\t// Pull out the tooltip and URL\n\tvar tooltip, URL;\n\tif(splitPos) {\n\t\tURL = source.substring(splitPos + 1,closePos).trim();\n\t\ttextNode.text = source.substring(pos,splitPos).trim();\n\t} else {\n\t\tURL = source.substring(pos,closePos).trim();\n\t\ttextNode.text = URL;\n\t}\n\tnode.attributes.href = {type: \"string\", value: URL};\n\tnode.attributes.target = {type: \"string\", value: \"_blank\"};\n\t// Update the end position\n\tnode.end = closePos + 2;\n\treturn node;\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/prettyextlink.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/prettylink.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/prettylink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for pretty links. For example:\n\n```\n[[Introduction]]\n\n[[Link description|TiddlerTitle]]\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"prettylink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\[\\[(.*?)(?:\\|(.*?))?\\]\\]/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Process the link\n\tvar text = this.match[1],\n\t\tlink = this.match[2] || text;\n\tif($tw.utils.isLinkExternal(link)) {\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"a\",\n\t\t\tattributes: {\n\t\t\t\thref: {type: \"string\", value: link},\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-tiddlylink-external\"},\n\t\t\t\ttarget: {type: \"string\", value: \"_blank\"}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: link}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\", text: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/prettylink.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/quoteblock.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/quoteblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for quote blocks. For example:\n\n```\n\t<<<.optionalClass(es) optional cited from\n\ta quote\n\t<<<\n\t\n\t<<<.optionalClass(es)\n\ta quote\n\t<<< optional cited from\n```\n\nQuotes can be quoted by putting more <s\n\n```\n\t<<<\n\tQuote Level 1\n\t\n\t<<<<\n\tQuoteLevel 2\n\t<<<<\n\t\n\t<<<\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"quoteblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /(<<<+)/mg;\n};\n\nexports.parse = function() {\n\tvar classes = [\"tc-quote\"];\n\t// Get all the details of the match\n\tvar reEndString = \"^\" + this.match[1] + \"(?!<)\";\n\t// Move past the <s\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\n\t// Parse any classes, whitespace and then the optional cite itself\n\tclasses.push.apply(classes, this.parser.parseClasses());\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tvar cite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// before handling the cite, parse the body of the quote\n\tvar tree= this.parser.parseBlocks(reEndString);\n\t// If we got a cite, put it before the text\n\tif(cite.length > 0) {\n\t\ttree.unshift({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Parse any optional cite\n\tthis.parser.skipWhitespace({treatNewlinesAsNonWhitespace: true});\n\tcite = this.parser.parseInlineRun(/(\\r?\\n)/mg);\n\t// If we got a cite, push it\n\tif(cite.length > 0) {\n\t\ttree.push({\n\t\t\ttype: \"element\",\n\t\t\ttag: \"cite\",\n\t\t\tchildren: cite\n\t\t});\n\t}\n\t// Return the blockquote element\n\treturn [{\n\t\ttype: \"element\",\n\t\ttag: \"blockquote\",\n\t\tattributes: {\n\t\t\tclass: { type: \"string\", value: classes.join(\" \") },\n\t\t},\n\t\tchildren: tree\n\t}];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/quoteblock.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/rules.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/rules.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki pragma rule for rules specifications\n\n```\n\\rules except ruleone ruletwo rulethree\n\\rules only ruleone ruletwo rulethree\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"rules\";\nexports.types = {pragma: true};\n\n/*\nInstantiate parse rule\n*/\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\\\rules[^\\S\\n]/mg;\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Move past the pragma invocation\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse whitespace delimited tokens terminated by a line break\n\tvar reMatch = /[^\\S\\n]*(\\S+)|(\\r?\\n)/mg,\n\t\ttokens = [];\n\treMatch.lastIndex = this.parser.pos;\n\tvar match = reMatch.exec(this.parser.source);\n\twhile(match && match.index === this.parser.pos) {\n\t\tthis.parser.pos = reMatch.lastIndex;\n\t\t// Exit if we've got the line break\n\t\tif(match[2]) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the token\n\t\tif(match[1]) {\n\t\t\ttokens.push(match[1]);\n\t\t}\n\t\t// Match the next token\n\t\tmatch = reMatch.exec(this.parser.source);\n\t}\n\t// Process the tokens\n\tif(tokens.length > 0) {\n\t\tthis.parser.amendRules(tokens[0],tokens.slice(1));\n\t}\n\t// No parse tree nodes to return\n\treturn [];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/rules.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/styleblock.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for assigning styles and classes to paragraphs and other blocks. For example:\n\n```\n@@.myClass\n@@background-color:red;\nThis paragraph will have the CSS class `myClass`.\n\n* The `<ul>` around this list will also have the class `myClass`\n* List item 2\n\n@@\n```\n\nNote that classes and styles can be mixed subject to the rule that styles must precede classes. For example\n\n```\n@@.myFirstClass.mySecondClass\n@@width:100px;.myThirdClass\nThis is a paragraph\n@@\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(?:\\.([^\\r\\n\\s]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEndString = \"^@@(?:\\\\r?\\\\n)?\";\n\tvar classes = [], styles = [];\n\tdo {\n\t\t// Get the class and style\n\t\tif(this.match[1]) {\n\t\t\tstyles.push(this.match[1]);\n\t\t}\n\t\tif(this.match[2]) {\n\t\t\tclasses.push(this.match[2].split(\".\").join(\" \"));\n\t\t}\n\t\t// Move past the match\n\t\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t\t// Look for another line of classes and styles\n\t\tthis.match = this.matchRegExp.exec(this.parser.source);\n\t} while(this.match && this.match.index === this.parser.pos);\n\t// Parse the body\n\tvar tree = this.parser.parseBlocks(reEndString);\n\tfor(var t=0; t<tree.length; t++) {\n\t\tif(classes.length > 0) {\n\t\t\t$tw.utils.addClassToParseTreeNode(tree[t],classes.join(\" \"));\n\t\t}\n\t\tif(styles.length > 0) {\n\t\t\t$tw.utils.addAttributeToParseTreeNode(tree[t],\"style\",styles.join(\"\"));\n\t\t}\n\t}\n\treturn tree;\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/styleblock.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/styleinline.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/styleinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for assigning styles and classes to inline runs. For example:\n\n```\n@@.myClass This is some text with a class@@\n@@background-color:red;This is some text with a background colour@@\n@@width:100px;.myClass This is some text with a class and a width@@\n```\n\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"styleinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /@@((?:[^\\.\\r\\n\\s:]+:[^\\r\\n;]+;)+)?(\\.(?:[^\\r\\n\\s]+)\\s+)?/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /@@/g;\n\t// Get the styles and class\n\tvar stylesString = this.match[1],\n\t\tclassString = this.match[2] ? this.match[2].split(\".\").join(\" \") : undefined;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Parse the run up to the terminator\n\tvar tree = this.parser.parseInlineRun(reEnd,{eatTerminator: true});\n\t// Return the classed span\n\tvar node = {\n\t\ttype: \"element\",\n\t\ttag: \"span\",\n\t\tattributes: {\n\t\t\t\"class\": {type: \"string\", value: \"tc-inline-style\"}\n\t\t},\n\t\tchildren: tree\n\t};\n\tif(classString) {\n\t\t$tw.utils.addClassToParseTreeNode(node,classString);\n\t}\n\tif(stylesString) {\n\t\t$tw.utils.addAttributeToParseTreeNode(node,\"style\",stylesString);\n\t}\n\treturn [node];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/styleinline.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/syslink.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/syslink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for system tiddler links.\nCan be suppressed preceding them with `~`.\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"syslink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /~?\\$:\\/[a-zA-Z0-9/.\\-_]+/mg;\n};\n\nexports.parse = function() {\n\tvar match = this.match[0];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Create the link unless it is suppressed\n\tif(match.substr(0,1) === \"~\") {\n\t\treturn [{type: \"text\", text: match.substr(1)}];\n\t} else {\n\t\treturn [{\n\t\t\ttype: \"link\",\n\t\t\tattributes: {\n\t\t\t\tto: {type: \"string\", value: match}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: match\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();",
"title": "$:/core/modules/parsers/wikiparser/rules/syslink.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/table.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/table.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text block rule for tables.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"table\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /^\\|(?:[^\\n]*)\\|(?:[fhck]?)\\r?(?:\\n|$)/mg;\n};\n\nvar processRow = function(prevColumns) {\n\tvar cellRegExp = /(?:\\|([^\\n\\|]*)\\|)|(\\|[fhck]?\\r?(?:\\n|$))/mg,\n\t\tcellTermRegExp = /((?:\\x20*)\\|)/mg,\n\t\ttree = [],\n\t\tcol = 0,\n\t\tcolSpanCount = 1,\n\t\tprevCell,\n\t\tvAlign;\n\t// Match a single cell\n\tcellRegExp.lastIndex = this.parser.pos;\n\tvar cellMatch = cellRegExp.exec(this.parser.source);\n\twhile(cellMatch && cellMatch.index === this.parser.pos) {\n\t\tif(cellMatch[1] === \"~\") {\n\t\t\t// Rowspan\n\t\t\tvar last = prevColumns[col];\n\t\t\tif(last) {\n\t\t\t\tlast.rowSpanCount++;\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"rowspan\",last.rowSpanCount);\n\t\t\t\tvAlign = $tw.utils.getAttributeValueFromParseTreeNode(last.element,\"valign\",\"center\");\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"valign\",vAlign);\n\t\t\t\tif(colSpanCount > 1) {\n\t\t\t\t\t$tw.utils.addAttributeToParseTreeNode(last.element,\"colspan\",colSpanCount);\n\t\t\t\t\tcolSpanCount = 1;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \">\") {\n\t\t\t// Colspan\n\t\t\tcolSpanCount++;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[1] === \"<\" && prevCell) {\n\t\t\tcolSpanCount = 1 + $tw.utils.getAttributeValueFromParseTreeNode(prevCell,\"colspan\",1);\n\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\tcolSpanCount = 1;\n\t\t\t// Move to just before the `|` terminating the cell\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t} else if(cellMatch[2]) {\n\t\t\t// End of row\n\t\t\tif(prevCell && colSpanCount > 1) {\n\t\t\t\tif(prevCell.attributes && prevCell.attributes && prevCell.attributes.colspan) {\n\t\t\t\t\t\tcolSpanCount += prevCell.attributes.colspan.value;\n\t\t\t\t} else {\n\t\t\t\t\tcolSpanCount -= 1;\n\t\t\t\t}\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(prevCell,\"colspan\",colSpanCount);\n\t\t\t}\n\t\t\tthis.parser.pos = cellRegExp.lastIndex - 1;\n\t\t\tbreak;\n\t\t} else {\n\t\t\t// For ordinary cells, step beyond the opening `|`\n\t\t\tthis.parser.pos++;\n\t\t\t// Look for a space at the start of the cell\n\t\t\tvar spaceLeft = false;\n\t\t\tvAlign = null;\n\t\t\tif(this.parser.source.substr(this.parser.pos).search(/^\\^([^\\^]|\\^\\^)/) === 0) {\n\t\t\t\tvAlign = \"top\";\n\t\t\t} else if(this.parser.source.substr(this.parser.pos).search(/^,([^,]|,,)/) === 0) {\n\t\t\t\tvAlign = \"bottom\";\n\t\t\t}\n\t\t\tif(vAlign) {\n\t\t\t\tthis.parser.pos++;\n\t\t\t}\n\t\t\tvar chr = this.parser.source.substr(this.parser.pos,1);\n\t\t\twhile(chr === \" \") {\n\t\t\t\tspaceLeft = true;\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tchr = this.parser.source.substr(this.parser.pos,1);\n\t\t\t}\n\t\t\t// Check whether this is a heading cell\n\t\t\tvar cell;\n\t\t\tif(chr === \"!\") {\n\t\t\t\tthis.parser.pos++;\n\t\t\t\tcell = {type: \"element\", tag: \"th\", children: []};\n\t\t\t} else {\n\t\t\t\tcell = {type: \"element\", tag: \"td\", children: []};\n\t\t\t}\n\t\t\ttree.push(cell);\n\t\t\t// Record information about this cell\n\t\t\tprevCell = cell;\n\t\t\tprevColumns[col] = {rowSpanCount:1,element:cell};\n\t\t\t// Check for a colspan\n\t\t\tif(colSpanCount > 1) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"colspan\",colSpanCount);\n\t\t\t\tcolSpanCount = 1;\n\t\t\t}\n\t\t\t// Parse the cell\n\t\t\tcell.children = this.parser.parseInlineRun(cellTermRegExp,{eatTerminator: true});\n\t\t\t// Set the alignment for the cell\n\t\t\tif(vAlign) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"valign\",vAlign);\n\t\t\t}\n\t\t\tif(this.parser.source.substr(this.parser.pos - 2,1) === \" \") { // spaceRight\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",spaceLeft ? \"center\" : \"left\");\n\t\t\t} else if(spaceLeft) {\n\t\t\t\t$tw.utils.addAttributeToParseTreeNode(cell,\"align\",\"right\");\n\t\t\t}\n\t\t\t// Move back to the closing `|`\n\t\t\tthis.parser.pos--;\n\t\t}\n\t\tcol++;\n\t\tcellRegExp.lastIndex = this.parser.pos;\n\t\tcellMatch = cellRegExp.exec(this.parser.source);\n\t}\n\treturn tree;\n};\n\nexports.parse = function() {\n\tvar rowContainerTypes = {\"c\":\"caption\", \"h\":\"thead\", \"\":\"tbody\", \"f\":\"tfoot\"},\n\t\ttable = {type: \"element\", tag: \"table\", children: []},\n\t\trowRegExp = /^\\|([^\\n]*)\\|([fhck]?)\\r?(?:\\n|$)/mg,\n\t\trowTermRegExp = /(\\|(?:[fhck]?)\\r?(?:\\n|$))/mg,\n\t\tprevColumns = [],\n\t\tcurrRowType,\n\t\trowContainer,\n\t\trowCount = 0;\n\t// Match the row\n\trowRegExp.lastIndex = this.parser.pos;\n\tvar rowMatch = rowRegExp.exec(this.parser.source);\n\twhile(rowMatch && rowMatch.index === this.parser.pos) {\n\t\tvar rowType = rowMatch[2];\n\t\t// Check if it is a class assignment\n\t\tif(rowType === \"k\") {\n\t\t\t$tw.utils.addClassToParseTreeNode(table,rowMatch[1]);\n\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t} else {\n\t\t\t// Otherwise, create a new row if this one is of a different type\n\t\t\tif(rowType !== currRowType) {\n\t\t\t\trowContainer = {type: \"element\", tag: rowContainerTypes[rowType], children: []};\n\t\t\t\ttable.children.push(rowContainer);\n\t\t\t\tcurrRowType = rowType;\n\t\t\t}\n\t\t\t// Is this a caption row?\n\t\t\tif(currRowType === \"c\") {\n\t\t\t\t// If so, move past the opening `|` of the row\n\t\t\t\tthis.parser.pos++;\n\t\t\t\t// Move the caption to the first row if it isn't already\n\t\t\t\tif(table.children.length !== 1) {\n\t\t\t\t\ttable.children.pop(); // Take rowContainer out of the children array\n\t\t\t\t\ttable.children.splice(0,0,rowContainer); // Insert it at the bottom\t\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t// Set the alignment - TODO: figure out why TW did this\n//\t\t\t\trowContainer.attributes.align = rowCount === 0 ? \"top\" : \"bottom\";\n\t\t\t\t// Parse the caption\n\t\t\t\trowContainer.children = this.parser.parseInlineRun(rowTermRegExp,{eatTerminator: true});\n\t\t\t} else {\n\t\t\t\t// Create the row\n\t\t\t\tvar theRow = {type: \"element\", tag: \"tr\", children: []};\n\t\t\t\t$tw.utils.addClassToParseTreeNode(theRow,rowCount%2 ? \"oddRow\" : \"evenRow\");\n\t\t\t\trowContainer.children.push(theRow);\n\t\t\t\t// Process the row\n\t\t\t\ttheRow.children = processRow.call(this,prevColumns);\n\t\t\t\tthis.parser.pos = rowMatch.index + rowMatch[0].length;\n\t\t\t\t// Increment the row count\n\t\t\t\trowCount++;\n\t\t\t}\n\t\t}\n\t\trowMatch = rowRegExp.exec(this.parser.source);\n\t}\n\treturn [table];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/table.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/transcludeblock.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for block-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}(?:\\r?\\n|$)/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {},\n\t\t\tisBlock: true\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tisBlock: true,\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/transcludeblock.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/transcludeinline.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/transcludeinline.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for inline-level transclusion. For example:\n\n```\n{{MyTiddler}}\n{{MyTiddler||TemplateTitle}}\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"transcludeinline\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\{\\{([^\\{\\}\\|]*)(?:\\|\\|([^\\|\\{\\}]+))?\\}\\}/mg;\n};\n\nexports.parse = function() {\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Get the match details\n\tvar template = $tw.utils.trim(this.match[2]),\n\t\ttextRef = $tw.utils.trim(this.match[1]);\n\t// Prepare the transclude widget\n\tvar transcludeNode = {\n\t\t\ttype: \"transclude\",\n\t\t\tattributes: {}\n\t\t};\n\t// Prepare the tiddler widget\n\tvar tr, targetTitle, targetField, targetIndex, tiddlerNode;\n\tif(textRef) {\n\t\ttr = $tw.utils.parseTextReference(textRef);\n\t\ttargetTitle = tr.title;\n\t\ttargetField = tr.field;\n\t\ttargetIndex = tr.index;\n\t\ttiddlerNode = {\n\t\t\ttype: \"tiddler\",\n\t\t\tattributes: {\n\t\t\t\ttiddler: {type: \"string\", value: targetTitle}\n\t\t\t},\n\t\t\tchildren: [transcludeNode]\n\t\t};\n\t}\n\tif(template) {\n\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: template};\n\t\tif(textRef) {\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t} else {\n\t\tif(textRef) {\n\t\t\ttranscludeNode.attributes.tiddler = {type: \"string\", value: targetTitle};\n\t\t\tif(targetField) {\n\t\t\t\ttranscludeNode.attributes.field = {type: \"string\", value: targetField};\n\t\t\t}\n\t\t\tif(targetIndex) {\n\t\t\t\ttranscludeNode.attributes.index = {type: \"string\", value: targetIndex};\n\t\t\t}\n\t\t\treturn [tiddlerNode];\n\t\t} else {\n\t\t\treturn [transcludeNode];\n\t\t}\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/transcludeinline.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/typedblock.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/typedblock.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text rule for typed blocks. For example:\n\n```\n$$$.js\nThis will be rendered as JavaScript\n$$$\n\n$$$.svg\n<svg xmlns=\"http://www.w3.org/2000/svg\" width=\"150\" height=\"100\">\n <circle cx=\"100\" cy=\"50\" r=\"40\" stroke=\"black\" stroke-width=\"2\" fill=\"red\" />\n</svg>\n$$$\n\n$$$text/vnd.tiddlywiki>text/html\nThis will be rendered as an //HTML representation// of WikiText\n$$$\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.name = \"typedblock\";\nexports.types = {block: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = /\\$\\$\\$([^ >\\r\\n]*)(?: *> *([^ \\r\\n]+))?\\r?\\n/mg;\n};\n\nexports.parse = function() {\n\tvar reEnd = /\\r?\\n\\$\\$\\$\\r?(?:\\n|$)/mg;\n\t// Save the type\n\tvar parseType = this.match[1],\n\t\trenderType = this.match[2];\n\t// Move past the match\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// Look for the end of the block\n\treEnd.lastIndex = this.parser.pos;\n\tvar match = reEnd.exec(this.parser.source),\n\t\ttext;\n\t// Process the block\n\tif(match) {\n\t\ttext = this.parser.source.substring(this.parser.pos,match.index);\n\t\tthis.parser.pos = match.index + match[0].length;\n\t} else {\n\t\ttext = this.parser.source.substr(this.parser.pos);\n\t\tthis.parser.pos = this.parser.sourceLength;\n\t}\n\t// Parse the block according to the specified type\n\tvar parser = this.parser.wiki.parseText(parseType,text,{defaultType: \"text/plain\"});\n\t// If there's no render type, just return the parse tree\n\tif(!renderType) {\n\t\treturn parser.tree;\n\t} else {\n\t\t// Otherwise, render to the rendertype and return in a <PRE> tag\n\t\tvar widgetNode = this.parser.wiki.makeWidget(parser),\n\t\t\tcontainer = $tw.fakeDocument.createElement(\"div\");\n\t\twidgetNode.render(container,null);\n\t\ttext = renderType === \"text/html\" ? container.innerHTML : container.textContent;\n\t\treturn [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"pre\",\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\ttext: text\n\t\t\t}]\n\t\t}];\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/typedblock.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/rules/wikilink.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikilink.js\ntype: application/javascript\nmodule-type: wikirule\n\nWiki text inline rule for wiki links. For example:\n\n```\nAWikiLink\nAnotherLink\n~SuppressedLink\n```\n\nPrecede a camel case word with `~` to prevent it from being recognised as a link.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.name = \"wikilink\";\nexports.types = {inline: true};\n\nexports.init = function(parser) {\n\tthis.parser = parser;\n\t// Regexp to match\n\tthis.matchRegExp = new RegExp($tw.config.textPrimitives.unWikiLink + \"?\" + $tw.config.textPrimitives.wikiLink,\"mg\");\n};\n\n/*\nParse the most recent match\n*/\nexports.parse = function() {\n\t// Get the details of the match\n\tvar linkText = this.match[0];\n\t// Move past the macro call\n\tthis.parser.pos = this.matchRegExp.lastIndex;\n\t// If the link starts with the unwikilink character then just output it as plain text\n\tif(linkText.substr(0,1) === $tw.config.textPrimitives.unWikiLink) {\n\t\treturn [{type: \"text\", text: linkText.substr(1)}];\n\t}\n\t// If the link has been preceded with a blocked letter then don't treat it as a link\n\tif(this.match.index > 0) {\n\t\tvar preRegExp = new RegExp($tw.config.textPrimitives.blockPrefixLetters,\"mg\");\n\t\tpreRegExp.lastIndex = this.match.index-1;\n\t\tvar preMatch = preRegExp.exec(this.parser.source);\n\t\tif(preMatch && preMatch.index === this.match.index-1) {\n\t\t\treturn [{type: \"text\", text: linkText}];\n\t\t}\n\t}\n\treturn [{\n\t\ttype: \"link\",\n\t\tattributes: {\n\t\t\tto: {type: \"string\", value: linkText}\n\t\t},\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\ttext: linkText\n\t\t}]\n\t}];\n};\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/wikilink.js",
"type": "application/javascript",
"module-type": "wikirule"
},
"$:/core/modules/parsers/wikiparser/wikiparser.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/wikiparser.js\ntype: application/javascript\nmodule-type: parser\n\nThe wiki text parser processes blocks of source text into a parse tree.\n\nThe parse tree is made up of nested arrays of these JavaScript objects:\n\n\t{type: \"element\", tag: <string>, attributes: {}, children: []} - an HTML element\n\t{type: \"text\", text: <string>} - a text node\n\t{type: \"entity\", value: <string>} - an entity\n\t{type: \"raw\", html: <string>} - raw HTML\n\nAttributes are stored as hashmaps of the following objects:\n\n\t{type: \"string\", value: <string>} - literal string\n\t{type: \"indirect\", textReference: <textReference>} - indirect through a text reference\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar WikiParser = function(type,text,options) {\n\tthis.wiki = options.wiki;\n\tvar self = this;\n\t// Check for an externally linked tiddler\n\tif($tw.browser && (text || \"\") === \"\" && options._canonical_uri) {\n\t\tthis.loadRemoteTiddler(options._canonical_uri);\n\t\ttext = $tw.language.getRawString(\"LazyLoadingWarning\");\n\t}\n\t// Initialise the classes if we don't have them already\n\tif(!this.pragmaRuleClasses) {\n\t\tWikiParser.prototype.pragmaRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"pragma\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.pragmaRuleClasses,\"$:/config/WikiParserRules/Pragmas/\");\n\t}\n\tif(!this.blockRuleClasses) {\n\t\tWikiParser.prototype.blockRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"block\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.blockRuleClasses,\"$:/config/WikiParserRules/Block/\");\n\t}\n\tif(!this.inlineRuleClasses) {\n\t\tWikiParser.prototype.inlineRuleClasses = $tw.modules.createClassesFromModules(\"wikirule\",\"inline\",$tw.WikiRuleBase);\n\t\tthis.setupRules(WikiParser.prototype.inlineRuleClasses,\"$:/config/WikiParserRules/Inline/\");\n\t}\n\t// Save the parse text\n\tthis.type = type || \"text/vnd.tiddlywiki\";\n\tthis.source = text || \"\";\n\tthis.sourceLength = this.source.length;\n\t// Set current parse position\n\tthis.pos = 0;\n\t// Instantiate the pragma parse rules\n\tthis.pragmaRules = this.instantiateRules(this.pragmaRuleClasses,\"pragma\",0);\n\t// Instantiate the parser block and inline rules\n\tthis.blockRules = this.instantiateRules(this.blockRuleClasses,\"block\",0);\n\tthis.inlineRules = this.instantiateRules(this.inlineRuleClasses,\"inline\",0);\n\t// Parse any pragmas\n\tthis.tree = [];\n\tvar topBranch = this.parsePragmas();\n\t// Parse the text into inline runs or blocks\n\tif(options.parseAsInline) {\n\t\ttopBranch.push.apply(topBranch,this.parseInlineRun());\n\t} else {\n\t\ttopBranch.push.apply(topBranch,this.parseBlocks());\n\t}\n\t// Return the parse tree\n};\n\n/*\n*/\nWikiParser.prototype.loadRemoteTiddler = function(url) {\n\tvar self = this;\n\t$tw.utils.httpRequest({\n\t\turl: url,\n\t\ttype: \"GET\",\n\t\tcallback: function(err,data) {\n\t\t\tif(!err) {\n\t\t\t\tvar tiddlers = self.wiki.deserializeTiddlers(\".tid\",data,self.wiki.getCreationFields());\n\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\ttiddler[\"_canonical_uri\"] = url;\n\t\t\t\t});\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tself.wiki.addTiddlers(tiddlers);\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\n*/\nWikiParser.prototype.setupRules = function(proto,configPrefix) {\n\tvar self = this;\n\tif(!$tw.safemode) {\n\t\t$tw.utils.each(proto,function(object,name) {\n\t\t\tif(self.wiki.getTiddlerText(configPrefix + name,\"enable\") !== \"enable\") {\n\t\t\t\tdelete proto[name];\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nInstantiate an array of parse rules\n*/\nWikiParser.prototype.instantiateRules = function(classes,type,startPos) {\n\tvar rulesInfo = [],\n\t\tself = this;\n\t$tw.utils.each(classes,function(RuleClass) {\n\t\t// Instantiate the rule\n\t\tvar rule = new RuleClass(self);\n\t\trule.is = {};\n\t\trule.is[type] = true;\n\t\trule.init(self);\n\t\tvar matchIndex = rule.findNextMatch(startPos);\n\t\tif(matchIndex !== undefined) {\n\t\t\trulesInfo.push({\n\t\t\t\trule: rule,\n\t\t\t\tmatchIndex: matchIndex\n\t\t\t});\n\t\t}\n\t});\n\treturn rulesInfo;\n};\n\n/*\nSkip any whitespace at the current position. Options are:\n\ttreatNewlinesAsNonWhitespace: true if newlines are NOT to be treated as whitespace\n*/\nWikiParser.prototype.skipWhitespace = function(options) {\n\toptions = options || {};\n\tvar whitespaceRegExp = options.treatNewlinesAsNonWhitespace ? /([^\\S\\n]+)/mg : /(\\s+)/mg;\n\twhitespaceRegExp.lastIndex = this.pos;\n\tvar whitespaceMatch = whitespaceRegExp.exec(this.source);\n\tif(whitespaceMatch && whitespaceMatch.index === this.pos) {\n\t\tthis.pos = whitespaceRegExp.lastIndex;\n\t}\n};\n\n/*\nGet the next match out of an array of parse rule instances\n*/\nWikiParser.prototype.findNextMatch = function(rules,startPos) {\n\t// Find the best matching rule by finding the closest match position\n\tvar matchingRule,\n\t\tmatchingRulePos = this.sourceLength;\n\t// Step through each rule\n\tfor(var t=0; t<rules.length; t++) {\n\t\tvar ruleInfo = rules[t];\n\t\t// Ask the rule to get the next match if we've moved past the current one\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex < startPos) {\n\t\t\truleInfo.matchIndex = ruleInfo.rule.findNextMatch(startPos);\n\t\t}\n\t\t// Adopt this match if it's closer than the current best match\n\t\tif(ruleInfo.matchIndex !== undefined && ruleInfo.matchIndex <= matchingRulePos) {\n\t\t\tmatchingRule = ruleInfo;\n\t\t\tmatchingRulePos = ruleInfo.matchIndex;\n\t\t}\n\t}\n\treturn matchingRule;\n};\n\n/*\nParse any pragmas at the beginning of a block of parse text\n*/\nWikiParser.prototype.parsePragmas = function() {\n\tvar currentTreeBranch = this.tree;\n\twhile(true) {\n\t\t// Skip whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check for the end of the text\n\t\tif(this.pos >= this.sourceLength) {\n\t\t\tbreak;\n\t\t}\n\t\t// Check if we've arrived at a pragma rule match\n\t\tvar nextMatch = this.findNextMatch(this.pragmaRules,this.pos);\n\t\t// If not, just exit\n\t\tif(!nextMatch || nextMatch.matchIndex !== this.pos) {\n\t\t\tbreak;\n\t\t}\n\t\t// Process the pragma rule\n\t\tvar subTree = nextMatch.rule.parse();\n\t\tif(subTree.length > 0) {\n\t\t\t// Quick hack; we only cope with a single parse tree node being returned, which is true at the moment\n\t\t\tcurrentTreeBranch.push.apply(currentTreeBranch,subTree);\n\t\t\tsubTree[0].children = [];\n\t\t\tcurrentTreeBranch = subTree[0].children;\n\t\t}\n\t}\n\treturn currentTreeBranch;\n};\n\n/*\nParse a block from the current position\n\tterminatorRegExpString: optional regular expression string that identifies the end of plain paragraphs. Must not include capturing parenthesis\n*/\nWikiParser.prototype.parseBlock = function(terminatorRegExpString) {\n\tvar terminatorRegExp = terminatorRegExpString ? new RegExp(\"(\" + terminatorRegExpString + \"|\\\\r?\\\\n\\\\r?\\\\n)\",\"mg\") : /(\\r?\\n\\r?\\n)/mg;\n\tthis.skipWhitespace();\n\tif(this.pos >= this.sourceLength) {\n\t\treturn [];\n\t}\n\t// Look for a block rule that applies at the current position\n\tvar nextMatch = this.findNextMatch(this.blockRules,this.pos);\n\tif(nextMatch && nextMatch.matchIndex === this.pos) {\n\t\treturn nextMatch.rule.parse();\n\t}\n\t// Treat it as a paragraph if we didn't find a block rule\n\treturn [{type: \"element\", tag: \"p\", children: this.parseInlineRun(terminatorRegExp)}];\n};\n\n/*\nParse a series of blocks of text until a terminating regexp is encountered or the end of the text\n\tterminatorRegExpString: terminating regular expression\n*/\nWikiParser.prototype.parseBlocks = function(terminatorRegExpString) {\n\tif(terminatorRegExpString) {\n\t\treturn this.parseBlocksTerminated(terminatorRegExpString);\n\t} else {\n\t\treturn this.parseBlocksUnterminated();\n\t}\n};\n\n/*\nParse a block from the current position to the end of the text\n*/\nWikiParser.prototype.parseBlocksUnterminated = function() {\n\tvar tree = [];\n\twhile(this.pos < this.sourceLength) {\n\t\ttree.push.apply(tree,this.parseBlock());\n\t}\n\treturn tree;\n};\n\n/*\nParse blocks of text until a terminating regexp is encountered\n*/\nWikiParser.prototype.parseBlocksTerminated = function(terminatorRegExpString) {\n\tvar terminatorRegExp = new RegExp(\"(\" + terminatorRegExpString + \")\",\"mg\"),\n\t\ttree = [];\n\t// Skip any whitespace\n\tthis.skipWhitespace();\n\t// Check if we've got the end marker\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar match = terminatorRegExp.exec(this.source);\n\t// Parse the text into blocks\n\twhile(this.pos < this.sourceLength && !(match && match.index === this.pos)) {\n\t\tvar blocks = this.parseBlock(terminatorRegExpString);\n\t\ttree.push.apply(tree,blocks);\n\t\t// Skip any whitespace\n\t\tthis.skipWhitespace();\n\t\t// Check if we've got the end marker\n\t\tterminatorRegExp.lastIndex = this.pos;\n\t\tmatch = terminatorRegExp.exec(this.source);\n\t}\n\tif(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t}\n\treturn tree;\n};\n\n/*\nParse a run of text at the current position\n\tterminatorRegExp: a regexp at which to stop the run\n\toptions: see below\nOptions available:\n\teatTerminator: move the parse position past any encountered terminator (default false)\n*/\nWikiParser.prototype.parseInlineRun = function(terminatorRegExp,options) {\n\tif(terminatorRegExp) {\n\t\treturn this.parseInlineRunTerminated(terminatorRegExp,options);\n\t} else {\n\t\treturn this.parseInlineRunUnterminated(options);\n\t}\n};\n\nWikiParser.prototype.parseInlineRunUnterminated = function(options) {\n\tvar tree = [];\n\t// Find the next occurrence of an inline rule\n\tvar nextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around the matches until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && nextMatch) {\n\t\t// Process the text preceding the run rule\n\t\tif(nextMatch.matchIndex > this.pos) {\n\t\t\ttree.push({type: \"text\", text: this.source.substring(this.pos,nextMatch.matchIndex)});\n\t\t\tthis.pos = nextMatch.matchIndex;\n\t\t}\n\t\t// Process the run rule\n\t\ttree.push.apply(tree,nextMatch.rule.parse());\n\t\t// Look for the next run rule\n\t\tnextMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\ttree.push({type: \"text\", text: this.source.substr(this.pos)});\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\nWikiParser.prototype.parseInlineRunTerminated = function(terminatorRegExp,options) {\n\toptions = options || {};\n\tvar tree = [];\n\t// Find the next occurrence of the terminator\n\tterminatorRegExp.lastIndex = this.pos;\n\tvar terminatorMatch = terminatorRegExp.exec(this.source);\n\t// Find the next occurrence of a inlinerule\n\tvar inlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t// Loop around until we've reached the end of the text\n\twhile(this.pos < this.sourceLength && (terminatorMatch || inlineRuleMatch)) {\n\t\t// Return if we've found the terminator, and it precedes any inline rule match\n\t\tif(terminatorMatch) {\n\t\t\tif(!inlineRuleMatch || inlineRuleMatch.matchIndex >= terminatorMatch.index) {\n\t\t\t\tif(terminatorMatch.index > this.pos) {\n\t\t\t\t\ttree.push({type: \"text\", text: this.source.substring(this.pos,terminatorMatch.index)});\n\t\t\t\t}\n\t\t\t\tthis.pos = terminatorMatch.index;\n\t\t\t\tif(options.eatTerminator) {\n\t\t\t\t\tthis.pos += terminatorMatch[0].length;\n\t\t\t\t}\n\t\t\t\treturn tree;\n\t\t\t}\n\t\t}\n\t\t// Process any inline rule, along with the text preceding it\n\t\tif(inlineRuleMatch) {\n\t\t\t// Preceding text\n\t\t\tif(inlineRuleMatch.matchIndex > this.pos) {\n\t\t\t\ttree.push({type: \"text\", text: this.source.substring(this.pos,inlineRuleMatch.matchIndex)});\n\t\t\t\tthis.pos = inlineRuleMatch.matchIndex;\n\t\t\t}\n\t\t\t// Process the inline rule\n\t\t\ttree.push.apply(tree,inlineRuleMatch.rule.parse());\n\t\t\t// Look for the next inline rule\n\t\t\tinlineRuleMatch = this.findNextMatch(this.inlineRules,this.pos);\n\t\t\t// Look for the next terminator match\n\t\t\tterminatorRegExp.lastIndex = this.pos;\n\t\t\tterminatorMatch = terminatorRegExp.exec(this.source);\n\t\t}\n\t}\n\t// Process the remaining text\n\tif(this.pos < this.sourceLength) {\n\t\ttree.push({type: \"text\", text: this.source.substr(this.pos)});\n\t}\n\tthis.pos = this.sourceLength;\n\treturn tree;\n};\n\n/*\nParse zero or more class specifiers `.classname`\n*/\nWikiParser.prototype.parseClasses = function() {\n\tvar classRegExp = /\\.([^\\s\\.]+)/mg,\n\t\tclassNames = [];\n\tclassRegExp.lastIndex = this.pos;\n\tvar match = classRegExp.exec(this.source);\n\twhile(match && match.index === this.pos) {\n\t\tthis.pos = match.index + match[0].length;\n\t\tclassNames.push(match[1]);\n\t\tmatch = classRegExp.exec(this.source);\n\t}\n\treturn classNames;\n};\n\n/*\nAmend the rules used by this instance of the parser\n\ttype: `only` keeps just the named rules, `except` keeps all but the named rules\n\tnames: array of rule names\n*/\nWikiParser.prototype.amendRules = function(type,names) {\n\tnames = names || [];\n\t// Define the filter function\n\tvar keepFilter;\n\tif(type === \"only\") {\n\t\tkeepFilter = function(name) {\n\t\t\treturn names.indexOf(name) !== -1;\n\t\t};\n\t} else if(type === \"except\") {\n\t\tkeepFilter = function(name) {\n\t\t\treturn names.indexOf(name) === -1;\n\t\t};\n\t} else {\n\t\treturn;\n\t}\n\t// Define a function to process each of our rule arrays\n\tvar processRuleArray = function(ruleArray) {\n\t\tfor(var t=ruleArray.length-1; t>=0; t--) {\n\t\t\tif(!keepFilter(ruleArray[t].rule.name)) {\n\t\t\t\truleArray.splice(t,1);\n\t\t\t}\n\t\t}\n\t};\n\t// Process each rule array\n\tprocessRuleArray(this.pragmaRules);\n\tprocessRuleArray(this.blockRules);\n\tprocessRuleArray(this.inlineRules);\n};\n\nexports[\"text/vnd.tiddlywiki\"] = WikiParser;\n\n})();\n\n",
"title": "$:/core/modules/parsers/wikiparser/wikiparser.js",
"type": "application/javascript",
"module-type": "parser"
},
"$:/core/modules/parsers/wikiparser/rules/wikirulebase.js": {
"text": "/*\\\ntitle: $:/core/modules/parsers/wikiparser/rules/wikirulebase.js\ntype: application/javascript\nmodule-type: global\n\nBase class for wiki parser rules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nThis constructor is always overridden with a blank constructor, and so shouldn't be used\n*/\nvar WikiRuleBase = function() {\n};\n\n/*\nTo be overridden by individual rules\n*/\nWikiRuleBase.prototype.init = function(parser) {\n\tthis.parser = parser;\n};\n\n/*\nDefault implementation of findNextMatch uses RegExp matching\n*/\nWikiRuleBase.prototype.findNextMatch = function(startPos) {\n\tthis.matchRegExp.lastIndex = startPos;\n\tthis.match = this.matchRegExp.exec(this.parser.source);\n\treturn this.match ? this.match.index : undefined;\n};\n\nexports.WikiRuleBase = WikiRuleBase;\n\n})();\n",
"title": "$:/core/modules/parsers/wikiparser/rules/wikirulebase.js",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/pluginswitcher.js": {
"text": "/*\\\ntitle: $:/core/modules/pluginswitcher.js\ntype: application/javascript\nmodule-type: global\n\nManages switching plugins for themes and languages.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\noptions:\nwiki: wiki store to be used\npluginType: type of plugin to be switched\ncontrollerTitle: title of tiddler used to control switching of this resource\ndefaultPlugins: array of default plugins to be used if nominated plugin isn't found\n*/\nfunction PluginSwitcher(options) {\n\tthis.wiki = options.wiki;\n\tthis.pluginType = options.pluginType;\n\tthis.controllerTitle = options.controllerTitle;\n\tthis.defaultPlugins = options.defaultPlugins || [];\n\t// Switch to the current plugin\n\tthis.switchPlugins();\n\t// Listen for changes to the selected plugin\n\tvar self = this;\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,self.controllerTitle)) {\n\t\t\tself.switchPlugins();\n\t\t}\n\t});\n}\n\nPluginSwitcher.prototype.switchPlugins = function() {\n\t// Get the name of the current theme\n\tvar selectedPluginTitle = this.wiki.getTiddlerText(this.controllerTitle);\n\t// If it doesn't exist, then fallback to one of the default themes\n\tvar index = 0;\n\twhile(!this.wiki.getTiddler(selectedPluginTitle) && index < this.defaultPlugins.length) {\n\t\tselectedPluginTitle = this.defaultPlugins[index++];\n\t}\n\t// Accumulate the titles of the plugins that we need to load\n\tvar plugins = [],\n\t\tself = this,\n\t\taccumulatePlugin = function(title) {\n\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\tif(tiddler && tiddler.isPlugin() && plugins.indexOf(title) === -1) {\n\t\t\t\tplugins.push(title);\n\t\t\t\tvar pluginInfo = JSON.parse(self.wiki.getTiddlerText(title)),\n\t\t\t\t\tdependents = $tw.utils.parseStringArray(tiddler.fields.dependents || \"\");\n\t\t\t\t$tw.utils.each(dependents,function(title) {\n\t\t\t\t\taccumulatePlugin(title);\n\t\t\t\t});\n\t\t\t}\n\t\t};\n\taccumulatePlugin(selectedPluginTitle);\n\t// Unregister any existing theme tiddlers\n\tvar unregisteredTiddlers = $tw.wiki.unregisterPluginTiddlers(this.pluginType);\n\t// Register any new theme tiddlers\n\tvar registeredTiddlers = $tw.wiki.registerPluginTiddlers(this.pluginType,plugins);\n\t// Unpack the current theme tiddlers\n\t$tw.wiki.unpackPluginTiddlers();\n};\n\nexports.PluginSwitcher = PluginSwitcher;\n\n})();\n",
"title": "$:/core/modules/pluginswitcher.js",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/saver-handler.js": {
"text": "/*\\\ntitle: $:/core/modules/saver-handler.js\ntype: application/javascript\nmodule-type: global\n\nThe saver handler tracks changes to the store and handles saving the entire wiki via saver modules.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInstantiate the saver handler with the following options:\nwiki: wiki to be synced\ndirtyTracking: true if dirty tracking should be performed\n*/\nfunction SaverHandler(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\tthis.dirtyTracking = options.dirtyTracking;\n\tthis.pendingAutoSave = false;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"saver-handler\");\n\t// Initialise our savers\n\tif($tw.browser) {\n\t\tthis.initSavers();\n\t}\n\t// Only do dirty tracking if required\n\tif($tw.browser && this.dirtyTracking) {\n\t\t// Compile the dirty tiddler filter\n\t\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t\t// Count of changes that have not yet been saved\n\t\tthis.numChanges = 0;\n\t\t// Listen out for changes to tiddlers\n\t\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\t\t// Filter the changes so that we only count changes to tiddlers that we care about\n\t\t\tvar filteredChanges = self.filterFn.call(self.wiki,function(callback) {\n\t\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\t\tcallback(tiddler,title);\n\t\t\t\t});\n\t\t\t});\n\t\t\t// Adjust the number of changes\n\t\t\tself.numChanges += filteredChanges.length;\n\t\t\tself.updateDirtyStatus();\n\t\t\t// Do any autosave if one is pending and there's no more change events\n\t\t\tif(self.pendingAutoSave && self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t\tself.pendingAutoSave = false;\n\t\t\t}\n\t\t});\n\t\t// Listen for the autosave event\n\t\t$tw.rootWidget.addEventListener(\"tm-auto-save-wiki\",function(event) {\n\t\t\t// Do the autosave unless there are outstanding tiddler change events\n\t\t\tif(self.wiki.getSizeOfTiddlerEventQueue() === 0) {\n\t\t\t\t// Check if we're dirty\n\t\t\t\tif(self.numChanges > 0) {\n\t\t\t\t\tself.saveWiki({\n\t\t\t\t\t\tmethod: \"autosave\",\n\t\t\t\t\t\tdownloadType: \"text/plain\"\n\t\t\t\t\t});\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\t// Otherwise put ourselves in the \"pending autosave\" state and wait for the change event before we do the autosave\n\t\t\t\tself.pendingAutoSave = true;\n\t\t\t}\n\t\t});\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t}\n\t// Install the save action handlers\n\tif($tw.browser) {\n\t\t$tw.rootWidget.addEventListener(\"tm-save-wiki\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-download-file\",function(event) {\n\t\t\tself.saveWiki({\n\t\t\t\tmethod: \"download\",\n\t\t\t\ttemplate: event.param,\n\t\t\t\tdownloadType: \"text/plain\",\n\t\t\t\tvariables: event.paramObject\n\t\t\t});\n\t\t});\n\t}\n}\n\nSaverHandler.prototype.titleSyncFilter = \"$:/config/SaverFilter\";\nSaverHandler.prototype.titleAutoSave = \"$:/config/AutoSave\";\nSaverHandler.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\n\n/*\nSelect the appropriate saver modules and set them up\n*/\nSaverHandler.prototype.initSavers = function(moduleType) {\n\tmoduleType = moduleType || \"saver\";\n\t// Instantiate the available savers\n\tthis.savers = [];\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(moduleType,function(title,module) {\n\t\tif(module.canSave(self)) {\n\t\t\tself.savers.push(module.create(self.wiki));\n\t\t}\n\t});\n\t// Sort the savers into priority order\n\tthis.savers.sort(function(a,b) {\n\t\tif(a.info.priority < b.info.priority) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(a.info.priority > b.info.priority) {\n\t\t\t\treturn +1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nSave the wiki contents. Options are:\n\tmethod: \"save\", \"autosave\" or \"download\"\n\ttemplate: the tiddler containing the template to save\n\tdownloadType: the content type for the saved file\n*/\nSaverHandler.prototype.saveWiki = function(options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tmethod = options.method || \"save\",\n\t\tvariables = options.variables || {},\n\t\ttemplate = options.template || \"$:/core/save/all\",\n\t\tdownloadType = options.downloadType || \"text/plain\",\n\t\ttext = this.wiki.renderTiddler(downloadType,template,options),\n\t\tcallback = function(err) {\n\t\t\tif(err) {\n\t\t\t\talert(\"Error while saving:\\n\\n\" + err);\n\t\t\t} else {\n\t\t\t\t// Clear the task queue if we're saving (rather than downloading)\n\t\t\t\tif(method !== \"download\") {\n\t\t\t\t\tself.numChanges = 0;\n\t\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t}\n\t\t\t\t$tw.notifier.display(self.titleSavedNotification);\n\t\t\t\tif(options.callback) {\n\t\t\t\t\toptions.callback();\n\t\t\t\t}\n\t\t\t}\n\t\t};\n\t// Ignore autosave if disabled\n\tif(method === \"autosave\" && this.wiki.getTiddlerText(this.titleAutoSave,\"yes\") !== \"yes\") {\n\t\treturn false;\n\t}\n\t// Call the highest priority saver that supports this method\n\tfor(var t=this.savers.length-1; t>=0; t--) {\n\t\tvar saver = this.savers[t];\n\t\tif(saver.info.capabilities.indexOf(method) !== -1 && saver.save(text,method,callback,{variables: {filename: variables.filename}})) {\n\t\t\tthis.logger.log(\"Saving wiki with method\",method,\"through saver\",saver.info.name);\n\t\t\treturn true;\n\t\t}\n\t}\n\treturn false;\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSaverHandler.prototype.isDirty = function() {\n\treturn this.numChanges > 0;\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSaverHandler.prototype.updateDirtyStatus = function() {\n\tif($tw.browser) {\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",this.isDirty());\n\t}\n};\n\nexports.SaverHandler = SaverHandler;\n\n})();\n",
"title": "$:/core/modules/saver-handler.js",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/savers/andtidwiki.js": {
"text": "/*\\\ntitle: $:/core/modules/savers/andtidwiki.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the AndTidWiki Android app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar AndTidWiki = function(wiki) {\n};\n\nAndTidWiki.prototype.save = function(text,method,callback) {\n\t// Get the pathname of this document\n\tvar pathname = decodeURIComponent(document.location.toString().split(\"#\")[0]);\n\t// Strip the file://\n\tif(pathname.indexOf(\"file://\") === 0) {\n\t\tpathname = pathname.substr(7);\n\t}\n\t// Strip any query or location part\n\tvar p = pathname.indexOf(\"?\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\tp = pathname.indexOf(\"#\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\t// Save the file\n\twindow.twi.saveFile(pathname,text);\n\t// Call the callback\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nAndTidWiki.prototype.info = {\n\tname: \"andtidwiki\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.twi && !!window.twi.saveFile;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new AndTidWiki(wiki);\n};\n\n})();\n",
"title": "$:/core/modules/savers/andtidwiki.js",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/download.js": {
"text": "/*\\\ntitle: $:/core/modules/savers/download.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar DownloadSaver = function(wiki) {\n};\n\nDownloadSaver.prototype.save = function(text,method,callback,options) {\n\toptions = options || {};\n\t// Get the current filename\n\tvar filename = options.variables.filename;\n\tif(!filename) {\n\t\tvar p = document.location.pathname.lastIndexOf(\"/\");\n\t\tif(p !== -1) {\n\t\t\tfilename = document.location.pathname.substr(p+1);\n\t\t}\n\t}\n\tif(!filename) {\n\t\tfilename = \"tiddlywiki.html\";\n\t}\n\t// Set up the link\n\tvar link = document.createElement(\"a\");\n\tlink.setAttribute(\"target\",\"_blank\");\n\tif(Blob !== undefined) {\n\t\tvar blob = new Blob([text], {type: \"text/html\"});\n\t\tlink.setAttribute(\"href\", URL.createObjectURL(blob));\n\t} else {\n\t\tlink.setAttribute(\"href\",\"data:text/html,\" + encodeURIComponent(text));\n\t}\n\tlink.setAttribute(\"download\",filename);\n\tdocument.body.appendChild(link);\n\tlink.click();\n\tdocument.body.removeChild(link);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nDownloadSaver.prototype.info = {\n\tname: \"download\",\n\tpriority: 100,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn document.createElement(\"a\").download !== undefined;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new DownloadSaver(wiki);\n};\n\n})();\n",
"title": "$:/core/modules/savers/download.js",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/fsosaver.js": {
"text": "/*\\\ntitle: $:/core/modules/savers/fsosaver.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via MS FileSystemObject ActiveXObject\n\nNote: Since TiddlyWiki's markup contains the MOTW, the FileSystemObject normally won't be available. \nHowever, if the wiki is loaded as an .HTA file (Windows HTML Applications) then the FSO can be used.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar FSOSaver = function(wiki) {\n};\n\nFSOSaver.prototype.save = function(text,method,callback) {\n\t// Get the pathname of this document\n\tvar pathname = unescape(document.location.pathname);\n\t// Test for a Windows path of the form /x:\\blah...\n\tif(/^\\/[A-Z]\\:\\\\[^\\\\]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t} else if(document.location.hostname !== \"\" && /^\\/\\\\[^\\\\]+\\\\[^\\\\]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t// Remove the leading slash\n\t\tpathname = pathname.substr(1);\n\t\t// reconstruct UNC path\n\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t} else {\n\t\treturn false;\n\t}\n\t// Save the file (as UTF-16)\n\tvar fso = new ActiveXObject(\"Scripting.FileSystemObject\");\n\tvar file = fso.OpenTextFile(pathname,2,-1,-1);\n\tfile.Write(text);\n\tfile.Close();\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nFSOSaver.prototype.info = {\n\tname: \"FSOSaver\",\n\tpriority: 120,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\ttry {\n\t\treturn (window.location.protocol === \"file:\") && !!(new ActiveXObject(\"Scripting.FileSystemObject\"));\n\t} catch(e) { return false; }\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new FSOSaver(wiki);\n};\n\n})();\n",
"title": "$:/core/modules/savers/fsosaver.js",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/manualdownload.js": {
"text": "/*\\\ntitle: $:/core/modules/savers/manualdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via HTML5's download APIs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Title of the tiddler containing the download message\nvar downloadInstructionsTitle = \"$:/language/Modals/Download\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar ManualDownloadSaver = function(wiki) {\n};\n\nManualDownloadSaver.prototype.save = function(text,method,callback) {\n\t$tw.modal.display(downloadInstructionsTitle,{\n\t\tdownloadLink: \"data:text/html,\" + encodeURIComponent(text)\n\t});\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nManualDownloadSaver.prototype.info = {\n\tname: \"manualdownload\",\n\tpriority: 0,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new ManualDownloadSaver(wiki);\n};\n\n})();\n",
"title": "$:/core/modules/savers/manualdownload.js",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/msdownload.js": {
"text": "/*\\\ntitle: $:/core/modules/savers/msdownload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via window.navigator.msSaveBlob()\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar MsDownloadSaver = function(wiki) {\n};\n\nMsDownloadSaver.prototype.save = function(text,method,callback) {\n\t// Get the current filename\n\tvar filename = \"tiddlywiki.html\",\n\t\tp = document.location.pathname.lastIndexOf(\"/\");\n\tif(p !== -1) {\n\t\tfilename = document.location.pathname.substr(p+1);\n\t}\n\t// Set up the link\n\tvar blob = new Blob([text], {type: \"text/html\"});\n\twindow.navigator.msSaveBlob(blob,filename);\n\t// Callback that we succeeded\n\tcallback(null);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nMsDownloadSaver.prototype.info = {\n\tname: \"msdownload\",\n\tpriority: 110,\n\tcapabilities: [\"save\", \"download\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn !!window.navigator.msSaveBlob;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new MsDownloadSaver(wiki);\n};\n\n})();\n",
"title": "$:/core/modules/savers/msdownload.js",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/tiddlyfox.js": {
"text": "/*\\\ntitle: $:/core/modules/savers/tiddlyfox.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TiddlyFox file extension\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TiddlyFoxSaver = function(wiki) {\n};\n\nTiddlyFoxSaver.prototype.save = function(text,method,callback) {\n\tvar messageBox = document.getElementById(\"tiddlyfox-message-box\");\n\tif(messageBox) {\n\t\t// Get the pathname of this document\n\t\tvar pathname = document.location.toString().split(\"#\")[0];\n\t\t// Replace file://localhost/ with file:///\n\t\tif(pathname.indexOf(\"file://localhost/\") === 0) {\n\t\t\tpathname = \"file://\" + pathname.substr(16);\n\t\t}\n\t\t// Windows path file:///x:/blah/blah --> x:\\blah\\blah\n\t\tif(/^file\\:\\/\\/\\/[A-Z]\\:\\//i.test(pathname)) {\n\t\t\t// Remove the leading slash and convert slashes to backslashes\n\t\t\tpathname = pathname.substr(8).replace(/\\//g,\"\\\\\");\n\t\t// Firefox Windows network path file://///server/share/blah/blah --> //server/share/blah/blah\n\t\t} else if(pathname.indexOf(\"file://///\") === 0) {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(10)).replace(/\\//g,\"\\\\\");\n\t\t// Mac/Unix local path file:///path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:///\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(7));\n\t\t// Mac/Unix local path file:/path/path --> /path/path\n\t\t} else if(pathname.indexOf(\"file:/\") === 0) {\n\t\t\tpathname = unescape(pathname.substr(5));\n\t\t// Otherwise Windows networth path file://server/share/path/path --> \\\\server\\share\\path\\path\n\t\t} else {\n\t\t\tpathname = \"\\\\\\\\\" + unescape(pathname.substr(7)).replace(new RegExp(\"/\",\"g\"),\"\\\\\");\n\t\t}\n\t\t// Create the message element and put it in the message box\n\t\tvar message = document.createElement(\"div\");\n\t\tmessage.setAttribute(\"data-tiddlyfox-path\",decodeURIComponent(pathname));\n\t\tmessage.setAttribute(\"data-tiddlyfox-content\",text);\n\t\tmessageBox.appendChild(message);\n\t\t// Add an event handler for when the file has been saved\n\t\tmessage.addEventListener(\"tiddlyfox-have-saved-file\",function(event) {\n\t\t\tcallback(null);\n\t\t}, false);\n\t\t// Create and dispatch the custom event to the extension\n\t\tvar event = document.createEvent(\"Events\");\n\t\tevent.initEvent(\"tiddlyfox-save-file\",true,false);\n\t\tmessage.dispatchEvent(event);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyFoxSaver.prototype.info = {\n\tname: \"tiddlyfox\",\n\tpriority: 1500,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn (window.location.protocol === \"file:\");\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyFoxSaver(wiki);\n};\n\n})();\n",
"title": "$:/core/modules/savers/tiddlyfox.js",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/tiddlyie.js": {
"text": "/*\\\ntitle: $:/core/modules/savers/tiddlyie.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via Internet Explorer BHO extenion (TiddlyIE)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar TiddlyIESaver = function(wiki) {\n};\n\nTiddlyIESaver.prototype.save = function(text,method,callback) {\n\t// Check existence of TiddlyIE BHO extension (note: only works after document is complete)\n\tif(typeof(window.TiddlyIE) != \"undefined\") {\n\t\t// Get the pathname of this document\n\t\tvar pathname = unescape(document.location.pathname);\n\t\t// Test for a Windows path of the form /x:/blah...\n\t\tif(/^\\/[A-Z]\\:\\/[^\\/]+/i.test(pathname)) {\t// ie: ^/[a-z]:/[^/]+ (is this better?: ^/[a-z]:/[^/]+(/[^/]+)*\\.[^/]+ )\n\t\t\t// Remove the leading slash\n\t\t\tpathname = pathname.substr(1);\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t} else if(document.hostname !== \"\" && /^\\/[^\\/]+\\/[^\\/]+/i.test(pathname)) {\t// test for \\\\server\\share\\blah... - ^/[^/]+/[^/]+\n\t\t\t// Convert slashes to backslashes\n\t\t\tpathname = pathname.replace(/\\//g,\"\\\\\");\n\t\t\t// reconstruct UNC path\n\t\t\tpathname = \"\\\\\\\\\" + document.location.hostname + pathname;\n\t\t} else return false;\n\t\t// Prompt the user to save the file\n\t\twindow.TiddlyIE.save(pathname, text);\n\t\t// Callback that we succeeded\n\t\tcallback(null);\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n};\n\n/*\nInformation about this saver\n*/\nTiddlyIESaver.prototype.info = {\n\tname: \"tiddlyiesaver\",\n\tpriority: 1500,\n\tcapabilities: [\"save\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn (window.location.protocol === \"file:\");\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TiddlyIESaver(wiki);\n};\n\n})();\n",
"title": "$:/core/modules/savers/tiddlyie.js",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/twedit.js": {
"text": "/*\\\ntitle: $:/core/modules/savers/twedit.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via the TWEdit iOS app\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false, netscape: false, Components: false */\n\"use strict\";\n\nvar TWEditSaver = function(wiki) {\n};\n\nTWEditSaver.prototype.save = function(text,method,callback) {\n\t// Bail if we're not running under TWEdit\n\tif(typeof DeviceInfo !== \"object\") {\n\t\treturn false;\n\t}\n\t// Get the pathname of this document\n\tvar pathname = decodeURIComponent(document.location.pathname);\n\t// Strip any query or location part\n\tvar p = pathname.indexOf(\"?\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\tp = pathname.indexOf(\"#\");\n\tif(p !== -1) {\n\t\tpathname = pathname.substr(0,p);\n\t}\n\t// Remove the leading \"/Documents\" from path\n\tvar prefix = \"/Documents\";\n\tif(pathname.indexOf(prefix) === 0) {\n\t\tpathname = pathname.substr(prefix.length);\n\t}\n\t// Error handler\n\tvar errorHandler = function(event) {\n\t\t// Error\n\t\tcallback(\"Error saving to TWEdit: \" + event.target.error.code);\n\t};\n\t// Get the file system\n\twindow.requestFileSystem(LocalFileSystem.PERSISTENT,0,function(fileSystem) {\n\t\t// Now we've got the filesystem, get the fileEntry\n\t\tfileSystem.root.getFile(pathname, {create: true}, function(fileEntry) {\n\t\t\t// Now we've got the fileEntry, create the writer\n\t\t\tfileEntry.createWriter(function(writer) {\n\t\t\t\twriter.onerror = errorHandler;\n\t\t\t\twriter.onwrite = function() {\n\t\t\t\t\tcallback(null);\n\t\t\t\t};\n\t\t\t\twriter.position = 0;\n\t\t\t\twriter.write(text);\n\t\t\t},errorHandler);\n\t\t}, errorHandler);\n\t}, errorHandler);\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nTWEditSaver.prototype.info = {\n\tname: \"twedit\",\n\tpriority: 1600,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new TWEditSaver(wiki);\n};\n\n/////////////////////////// Hack\n// HACK: This ensures that TWEdit recognises us as a TiddlyWiki document\nif($tw.browser) {\n\twindow.version = {title: \"TiddlyWiki\"};\n}\n\n})();\n",
"title": "$:/core/modules/savers/twedit.js",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/savers/upload.js": {
"text": "/*\\\ntitle: $:/core/modules/savers/upload.js\ntype: application/javascript\nmodule-type: saver\n\nHandles saving changes via upload to a server.\n\nDesigned to be compatible with BidiX's UploadPlugin at http://tiddlywiki.bidix.info/#UploadPlugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSelect the appropriate saver module and set it up\n*/\nvar UploadSaver = function(wiki) {\n\tthis.wiki = wiki;\n};\n\nUploadSaver.prototype.save = function(text,method,callback) {\n\t// Get the various parameters we need\n\tvar backupDir = this.wiki.getTextReference(\"$:/UploadBackupDir\") || \".\",\n\t\tusername = this.wiki.getTextReference(\"$:/UploadName\"),\n\t\tpassword = $tw.utils.getPassword(\"upload\"),\n\t\tuploadDir = this.wiki.getTextReference(\"$:/UploadDir\") || \".\",\n\t\tuploadFilename = this.wiki.getTextReference(\"$:/UploadFilename\") || \"index.html\",\n\t\turl = this.wiki.getTextReference(\"$:/UploadURL\");\n\t// Bail out if we don't have the bits we need\n\tif(!username || username.toString().trim() === \"\" || !password || password.toString().trim() === \"\") {\n\t\treturn false;\n\t}\n\t// Construct the url if not provided\n\tif(!url) {\n\t\turl = \"http://\" + username + \".tiddlyspot.com/store.cgi\";\n\t}\n\t// Assemble the header\n\tvar boundary = \"---------------------------\" + \"AaB03x\";\t\n\tvar uploadFormName = \"UploadPlugin\";\n\tvar head = [];\n\thead.push(\"--\" + boundary + \"\\r\\nContent-disposition: form-data; name=\\\"UploadPlugin\\\"\\r\\n\");\n\thead.push(\"backupDir=\" + backupDir + \";user=\" + username + \";password=\" + password + \";uploaddir=\" + uploadDir + \";;\"); \n\thead.push(\"\\r\\n\" + \"--\" + boundary);\n\thead.push(\"Content-disposition: form-data; name=\\\"userfile\\\"; filename=\\\"\" + uploadFilename + \"\\\"\");\n\thead.push(\"Content-Type: text/html;charset=UTF-8\");\n\thead.push(\"Content-Length: \" + text.length + \"\\r\\n\");\n\thead.push(\"\");\n\t// Assemble the tail and the data itself\n\tvar tail = \"\\r\\n--\" + boundary + \"--\\r\\n\",\n\t\tdata = head.join(\"\\r\\n\") + text + tail;\n\t// Do the HTTP post\n\tvar http = new XMLHttpRequest();\n\thttp.open(\"POST\",url,true,username,password);\n\thttp.setRequestHeader(\"Content-Type\",\"multipart/form-data; ;charset=UTF-8; boundary=\" + boundary);\n\thttp.onreadystatechange = function() {\n\t\tif(http.readyState == 4 && http.status == 200) {\n\t\t\tif(http.responseText.substr(0,4) === \"0 - \") {\n\t\t\t\tcallback(null);\n\t\t\t} else {\n\t\t\t\tcallback(http.responseText);\n\t\t\t}\n\t\t}\n\t};\n\ttry {\n\t\thttp.send(data);\n\t} catch(ex) {\n\t\treturn callback(\"Error:\" + ex);\n\t}\n\t$tw.notifier.display(\"$:/language/Notifications/Save/Starting\");\n\treturn true;\n};\n\n/*\nInformation about this saver\n*/\nUploadSaver.prototype.info = {\n\tname: \"upload\",\n\tpriority: 2000,\n\tcapabilities: [\"save\", \"autosave\"]\n};\n\n/*\nStatic method that returns true if this saver is capable of working\n*/\nexports.canSave = function(wiki) {\n\treturn true;\n};\n\n/*\nCreate an instance of this saver\n*/\nexports.create = function(wiki) {\n\treturn new UploadSaver(wiki);\n};\n\n})();\n",
"title": "$:/core/modules/savers/upload.js",
"type": "application/javascript",
"module-type": "saver"
},
"$:/core/modules/browser-messaging.js": {
"text": "/*\\\ntitle: $:/core/modules/browser-messaging.js\ntype: application/javascript\nmodule-type: startup\n\nBrowser message handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"browser-messaging\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n/*\nLoad a specified url as an iframe and call the callback when it is loaded. If the url is already loaded then the existing iframe instance is used\n*/\nfunction loadIFrame(url,callback) {\n\t// Check if iframe already exists\n\tvar iframeInfo = $tw.browserMessaging.iframeInfoMap[url];\n\tif(iframeInfo) {\n\t\t// We've already got the iframe\n\t\tcallback(null,iframeInfo);\n\t} else {\n\t\t// Create the iframe and save it in the list\n\t\tvar iframe = document.createElement(\"iframe\"),\n\t\t\tiframeInfo = {\n\t\t\t\turl: url,\n\t\t\t\tstatus: \"loading\",\n\t\t\t\tdomNode: iframe\n\t\t\t};\n\t\t$tw.browserMessaging.iframeInfoMap[url] = iframeInfo;\n\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t// Add the iframe to the DOM and hide it\n\t\tiframe.style.display = \"none\";\n\t\tdocument.body.appendChild(iframe);\n\t\t// Set up onload\n\t\tiframe.onload = function() {\n\t\t\tiframeInfo.status = \"loaded\";\n\t\t\tsaveIFrameInfoTiddler(iframeInfo);\n\t\t\tcallback(null,iframeInfo);\n\t\t};\n\t\tiframe.onerror = function() {\n\t\t\tcallback(\"Cannot load iframe\");\n\t\t};\n\t\ttry {\n\t\t\tiframe.src = url;\n\t\t} catch(ex) {\n\t\t\tcallback(ex);\n\t\t}\n\t}\n}\n\nfunction saveIFrameInfoTiddler(iframeInfo) {\n\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),{\n\t\ttitle: \"$:/temp/ServerConnection/\" + iframeInfo.url,\n\t\ttext: iframeInfo.status,\n\t\ttags: [\"$:/tags/ServerConnection\"],\n\t\turl: iframeInfo.url\n\t},$tw.wiki.getModificationFields()));\n}\n\nexports.startup = function() {\n\t// Initialise the store of iframes we've created\n\t$tw.browserMessaging = {\n\t\tiframeInfoMap: {} // Hashmap by URL of {url:,status:\"loading/loaded\",domNode:}\n\t};\n\t// Listen for widget messages to control loading the plugin library\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url;\n\t\tif(url) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert(\"Error loading plugin library: \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers.json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-info\",\n\t\t\t\t\t\t\tinfoTitlePrefix: paramObject.infoTitlePrefix || \"$:/temp/RemoteAssetInfo/\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-load-plugin-from-library\",function(event) {\n\t\tvar paramObject = event.paramObject || {},\n\t\t\turl = paramObject.url,\n\t\t\ttitle = paramObject.title;\n\t\tif(url && title) {\n\t\t\tloadIFrame(url,function(err,iframeInfo) {\n\t\t\t\tif(err) {\n\t\t\t\t\talert(\"Error loading plugin library: \" + url);\n\t\t\t\t} else {\n\t\t\t\t\tiframeInfo.domNode.contentWindow.postMessage({\n\t\t\t\t\t\tverb: \"GET\",\n\t\t\t\t\t\turl: \"recipes/library/tiddlers/\" + encodeURIComponent(title) + \".json\",\n\t\t\t\t\t\tcookies: {\n\t\t\t\t\t\t\ttype: \"save-tiddler\",\n\t\t\t\t\t\t\turl: url\n\t\t\t\t\t\t}\n\t\t\t\t\t},\"*\");\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Listen for window messages from other windows\n\twindow.addEventListener(\"message\",function listener(event){\n\t\tconsole.log(\"browser-messaging: \",document.location.toString())\n\t\tconsole.log(\"browser-messaging: Received message from\",event.origin);\n\t\tconsole.log(\"browser-messaging: Message content\",event.data);\n\t\tswitch(event.data.verb) {\n\t\t\tcase \"GET-RESPONSE\":\n\t\t\t\tif(event.data.status.charAt(0) === \"2\") {\n\t\t\t\t\tif(event.data.cookies) {\n\t\t\t\t\t\tif(event.data.cookies.type === \"save-info\") {\n\t\t\t\t\t\t\tvar tiddlers = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.utils.each(tiddlers,function(tiddler) {\n\t\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler($tw.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\t\t\t\t\ttitle: event.data.cookies.infoTitlePrefix + event.data.cookies.url + \"/\" + tiddler.title,\n\t\t\t\t\t\t\t\t\t\"original-title\": tiddler.title,\n\t\t\t\t\t\t\t\t\ttext: \"\",\n\t\t\t\t\t\t\t\t\ttype: \"text/vnd.tiddlywiki\",\n\t\t\t\t\t\t\t\t\t\"original-type\": tiddler.type,\n\t\t\t\t\t\t\t\t\t\"plugin-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-plugin-type\": tiddler[\"plugin-type\"],\n\t\t\t\t\t\t\t\t\t\"module-type\": undefined,\n\t\t\t\t\t\t\t\t\t\"original-module-type\": tiddler[\"module-type\"],\n\t\t\t\t\t\t\t\t\ttags: [\"$:/tags/RemoteAssetInfo\"],\n\t\t\t\t\t\t\t\t\t\"original-tags\": $tw.utils.stringifyList(tiddler.tags || []),\n\t\t\t\t\t\t\t\t\t\"server-url\": event.data.cookies.url\n\t\t\t\t\t\t\t\t},$tw.wiki.getModificationFields()));\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t} else if(event.data.cookies.type === \"save-tiddler\") {\n\t\t\t\t\t\t\tvar tiddler = JSON.parse(event.data.body);\n\t\t\t\t\t\t\t$tw.wiki.addTiddler(new $tw.Tiddler(tiddler));\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tbreak;\n\t\t}\n\t},false);\n};\n\n})();\n",
"title": "$:/core/modules/browser-messaging.js",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/commands.js": {
"text": "/*\\\ntitle: $:/core/modules/startup/commands.js\ntype: application/javascript\nmodule-type: startup\n\nCommand processing\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"commands\";\nexports.platforms = [\"node\"];\nexports.after = [\"story\"];\nexports.synchronous = false;\n\nexports.startup = function(callback) {\n\t// On the server, start a commander with the command line arguments\n\tvar commander = new $tw.Commander(\n\t\t$tw.boot.argv,\n\t\tfunction(err) {\n\t\t\tif(err) {\n\t\t\t\treturn $tw.utils.error(\"Error: \" + err);\n\t\t\t}\n\t\t\tcallback();\n\t\t},\n\t\t$tw.wiki,\n\t\t{output: process.stdout, error: process.stderr}\n\t);\n\tcommander.execute();\n};\n\n})();\n",
"title": "$:/core/modules/startup/commands.js",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/favicon.js": {
"text": "/*\\\ntitle: $:/core/modules/startup/favicon.js\ntype: application/javascript\nmodule-type: startup\n\nFavicon handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"favicon\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\t\t\n// Favicon tiddler\nvar FAVICON_TITLE = \"$:/favicon.ico\";\n\nexports.startup = function() {\n\t// Set up the favicon\n\tsetFavicon();\n\t// Reset the favicon when the tiddler changes\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,FAVICON_TITLE)) {\n\t\t\tsetFavicon();\n\t\t}\n\t});\n};\n\nfunction setFavicon() {\n\tvar tiddler = $tw.wiki.getTiddler(FAVICON_TITLE);\n\tif(tiddler) {\n\t\tvar faviconLink = document.getElementById(\"faviconLink\");\n\t\tfaviconLink.setAttribute(\"href\",\"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text);\n\t}\n}\n\n})();\n",
"title": "$:/core/modules/startup/favicon.js",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/info.js": {
"text": "/*\\\ntitle: $:/core/modules/startup/info.js\ntype: application/javascript\nmodule-type: startup\n\nInitialise $:/info tiddlers via $:/temp/info-plugin pseudo-plugin\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"info\";\nexports.before = [\"startup\"];\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Collect up the info tiddlers\n\tvar infoTiddlerFields = {};\n\t// Give each info module a chance to fill in as many info tiddlers as they want\n\t$tw.modules.forEachModuleOfType(\"info\",function(title,moduleExports) {\n\t\tif(moduleExports && moduleExports.getInfoTiddlerFields) {\n\t\t\tvar tiddlerFieldsArray = moduleExports.getInfoTiddlerFields(infoTiddlerFields);\n\t\t\t$tw.utils.each(tiddlerFieldsArray,function(fields) {\n\t\t\t\tif(fields) {\n\t\t\t\t\tinfoTiddlerFields[fields.title] = fields;\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n\t// Bake the info tiddlers into a plugin\n\tvar fields = {\n\t\ttitle: \"$:/temp/info-plugin\",\n\t\ttype: \"application/json\",\n\t\t\"plugin-type\": \"info\",\n\t\ttext: JSON.stringify({tiddlers: infoTiddlerFields},null,$tw.config.preferences.jsonSpaces)\n\t};\n\t$tw.wiki.addTiddler(new $tw.Tiddler(fields));\n\t$tw.wiki.readPluginInfo();\n\t$tw.wiki.registerPluginTiddlers(\"info\");\n\t$tw.wiki.unpackPluginTiddlers();\n};\n\n})();\n",
"title": "$:/core/modules/startup/info.js",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/load-modules.js": {
"text": "/*\\\ntitle: $:/core/modules/startup/load-modules.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"load-modules\";\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Load modules\n\t$tw.modules.applyMethods(\"utils\",$tw.utils);\n\tif($tw.node) {\n\t\t$tw.modules.applyMethods(\"utils-node\",$tw.utils);\n\t}\n\t$tw.modules.applyMethods(\"global\",$tw);\n\t$tw.modules.applyMethods(\"config\",$tw.config);\n\t$tw.Tiddler.fieldModules = $tw.modules.getModulesByTypeAsHashmap(\"tiddlerfield\");\n\t$tw.modules.applyMethods(\"tiddlermethod\",$tw.Tiddler.prototype);\n\t$tw.modules.applyMethods(\"wikimethod\",$tw.Wiki.prototype);\n\t$tw.modules.applyMethods(\"tiddlerdeserializer\",$tw.Wiki.tiddlerDeserializerModules);\n\t$tw.macros = $tw.modules.getModulesByTypeAsHashmap(\"macro\");\n\t$tw.wiki.initParsers();\n\t$tw.Commander.initCommands();\n};\n\n})();\n",
"title": "$:/core/modules/startup/load-modules.js",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/password.js": {
"text": "/*\\\ntitle: $:/core/modules/startup/password.js\ntype: application/javascript\nmodule-type: startup\n\nPassword handling\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"password\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t$tw.rootWidget.addEventListener(\"tm-set-password\",function(event) {\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: $tw.language.getString(\"Encryption/PromptSetPassword\"),\n\t\t\tnoUserName: true,\n\t\t\tsubmitText: $tw.language.getString(\"Encryption/SetPassword\"),\n\t\t\tcanCancel: true,\n\t\t\trepeatPassword: true,\n\t\t\tcallback: function(data) {\n\t\t\t\tif(data) {\n\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t}\n\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t}\n\t\t});\n\t});\n\t$tw.rootWidget.addEventListener(\"tm-clear-password\",function(event) {\n\t\tif($tw.browser) {\n\t\t\tif(!confirm($tw.language.getString(\"Encryption/ConfirmClearPassword\"))) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t\t$tw.crypto.setPassword(null);\n\t});\n\t// Ensure that $:/isEncrypted is maintained properly\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.utils.hop(changes,\"$:/isEncrypted\")) {\n\t\t\t$tw.crypto.updateCryptoStateTiddler();\n\t\t}\n\t});\n};\n\n})();\n",
"title": "$:/core/modules/startup/password.js",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/render.js": {
"text": "/*\\\ntitle: $:/core/modules/startup/render.js\ntype: application/javascript\nmodule-type: startup\n\nTitle, stylesheet and page rendering\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"render\";\nexports.platforms = [\"browser\"];\nexports.after = [\"story\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar PAGE_TITLE_TITLE = \"$:/core/wiki/title\";\nvar PAGE_STYLESHEET_TITLE = \"$:/core/ui/PageStylesheet\";\nvar PAGE_TEMPLATE_TITLE = \"$:/core/ui/PageTemplate\";\n\n// Time (in ms) that we defer refreshing changes to draft tiddlers\nvar DRAFT_TIDDLER_TIMEOUT_TITLE = \"$:/config/Drafts/TypingTimeout\";\nvar DRAFT_TIDDLER_TIMEOUT = 400;\n\nexports.startup = function() {\n\t// Set up the title\n\t$tw.titleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TITLE_TITLE,{document: $tw.fakeDocument, parseAsInline: true});\n\t$tw.titleContainer = $tw.fakeDocument.createElement(\"div\");\n\t$tw.titleWidgetNode.render($tw.titleContainer,null);\n\tdocument.title = $tw.titleContainer.textContent;\n\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\tif($tw.titleWidgetNode.refresh(changes,$tw.titleContainer,null)) {\n\t\t\tdocument.title = $tw.titleContainer.textContent;\n\t\t}\n\t});\n\t// Set up the styles\n\t$tw.styleWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_STYLESHEET_TITLE,{document: $tw.fakeDocument});\n\t$tw.styleContainer = $tw.fakeDocument.createElement(\"style\");\n\t$tw.styleWidgetNode.render($tw.styleContainer,null);\n\t$tw.styleElement = document.createElement(\"style\");\n\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\tdocument.head.insertBefore($tw.styleElement,document.head.firstChild);\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"styleRefresh\",function(changes) {\n\t\tif($tw.styleWidgetNode.refresh(changes,$tw.styleContainer,null)) {\n\t\t\t$tw.styleElement.innerHTML = $tw.styleContainer.textContent;\n\t\t}\n\t}));\n\t// Display the $:/core/ui/PageTemplate tiddler to kick off the display\n\t$tw.perf.report(\"mainRender\",function() {\n\t\t$tw.pageWidgetNode = $tw.wiki.makeTranscludeWidget(PAGE_TEMPLATE_TITLE,{document: document, parentWidget: $tw.rootWidget});\n\t\t$tw.pageContainer = document.createElement(\"div\");\n\t\t$tw.utils.addClass($tw.pageContainer,\"tc-page-container-wrapper\");\n\t\tdocument.body.insertBefore($tw.pageContainer,document.body.firstChild);\n\t\t$tw.pageWidgetNode.render($tw.pageContainer,null);\n\t})();\n\t// Prepare refresh mechanism\n\tvar deferredChanges = Object.create(null),\n\t\ttimerId;\n\tfunction refresh() {\n\t\t// Process the refresh\n\t\t$tw.pageWidgetNode.refresh(deferredChanges);\n\t\tdeferredChanges = Object.create(null);\n\t}\n\t// Add the change event handler\n\t$tw.wiki.addEventListener(\"change\",$tw.perf.report(\"mainRefresh\",function(changes) {\n\t\t// Check if only drafts have changed\n\t\tvar onlyDraftsHaveChanged = true;\n\t\tfor(var title in changes) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(!tiddler || !tiddler.hasField(\"draft.of\")) {\n\t\t\t\tonlyDraftsHaveChanged = false;\n\t\t\t}\n\t\t}\n\t\t// Defer the change if only drafts have changed\n\t\tif(timerId) {\n\t\t\tclearTimeout(timerId);\n\t\t}\n\t\ttimerId = null;\n\t\tif(onlyDraftsHaveChanged) {\n\t\t\tvar timeout = parseInt($tw.wiki.getTiddlerText(DRAFT_TIDDLER_TIMEOUT_TITLE,\"\"),10);\n\t\t\tif(isNaN(timeout)) {\n\t\t\t\ttimeout = DRAFT_TIDDLER_TIMEOUT;\n\t\t\t}\n\t\t\ttimerId = setTimeout(refresh,timeout);\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t} else {\n\t\t\t$tw.utils.extend(deferredChanges,changes);\n\t\t\trefresh();\n\t\t}\n\t}));\n\t// Fix up the link between the root widget and the page container\n\t$tw.rootWidget.domNodes = [$tw.pageContainer];\n\t$tw.rootWidget.children = [$tw.pageWidgetNode];\n};\n\n})();\n",
"title": "$:/core/modules/startup/render.js",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/rootwidget.js": {
"text": "/*\\\ntitle: $:/core/modules/startup/rootwidget.js\ntype: application/javascript\nmodule-type: startup\n\nSetup the root widget and the core root widget handlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"rootwidget\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.before = [\"story\"];\nexports.synchronous = true;\n\nexports.startup = function() {\n\t// Install the modal message mechanism\n\t$tw.modal = new $tw.utils.Modal($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-modal\",function(event) {\n\t\t$tw.modal.display(event.param,{variables: event.paramObject});\n\t});\n\t// Install the notification mechanism\n\t$tw.notifier = new $tw.utils.Notifier($tw.wiki);\n\t$tw.rootWidget.addEventListener(\"tm-notify\",function(event) {\n\t\t$tw.notifier.display(event.param);\n\t});\n\t// Install the scroller\n\t$tw.pageScroller = new $tw.utils.PageScroller();\n\t$tw.rootWidget.addEventListener(\"tm-scroll\",function(event) {\n\t\t$tw.pageScroller.handleEvent(event);\n\t});\n\tvar fullscreen = $tw.utils.getFullScreenApis();\n\tif(fullscreen) {\n\t\t$tw.rootWidget.addEventListener(\"tm-full-screen\",function(event) {\n\t\t\tif(document[fullscreen._fullscreenElement]) {\n\t\t\t\tdocument[fullscreen._exitFullscreen]();\n\t\t\t} else {\n\t\t\t\tdocument.documentElement[fullscreen._requestFullscreen](Element.ALLOW_KEYBOARD_INPUT);\n\t\t\t}\n\t\t});\n\t}\n\t// If we're being viewed on a data: URI then give instructions for how to save\n\tif(document.location.protocol === \"data:\") {\n\t\t$tw.rootWidget.dispatchEvent({\n\t\t\ttype: \"tm-modal\",\n\t\t\tparam: \"$:/language/Modals/SaveInstructions\"\n\t\t});\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/startup/rootwidget.js",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup.js": {
"text": "/*\\\ntitle: $:/core/modules/startup.js\ntype: application/javascript\nmodule-type: startup\n\nMiscellaneous startup logic for both the client and server.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"startup\";\nexports.after = [\"load-modules\"];\nexports.synchronous = true;\n\n// Set to `true` to enable performance instrumentation\nvar PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE = \"$:/config/Performance/Instrumentation\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nexports.startup = function() {\n\tvar modules,n,m,f;\n\tif($tw.browser) {\n\t\t$tw.browser.isIE = (/msie|trident/i.test(navigator.userAgent));\n\t}\n\t$tw.version = $tw.utils.extractVersionInfo();\n\t// Set up the performance framework\n\t$tw.perf = new $tw.Performance($tw.wiki.getTiddlerText(PERFORMANCE_INSTRUMENTATION_CONFIG_TITLE,\"no\") === \"yes\");\n\t// Kick off the language manager and switcher\n\t$tw.language = new $tw.Language();\n\t$tw.languageSwitcher = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"language\",\n\t\tcontrollerTitle: \"$:/language\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/languages/en-US\"\n\t\t]\n\t});\n\t// Kick off the theme manager\n\t$tw.themeManager = new $tw.PluginSwitcher({\n\t\twiki: $tw.wiki,\n\t\tpluginType: \"theme\",\n\t\tcontrollerTitle: \"$:/theme\",\n\t\tdefaultPlugins: [\n\t\t\t\"$:/themes/tiddlywiki/snowwhite\",\n\t\t\t\"$:/themes/tiddlywiki/vanilla\"\n\t\t]\n\t});\n\t// Clear outstanding tiddler store change events to avoid an unnecessary refresh cycle at startup\n\t$tw.wiki.clearTiddlerEventQueue();\n\t// Create a root widget for attaching event handlers. By using it as the parentWidget for another widget tree, one can reuse the event handlers\n\tif($tw.browser) {\n\t\t$tw.rootWidget = new widget.widget({\n\t\t\ttype: \"widget\",\n\t\t\tchildren: []\n\t\t},{\n\t\t\twiki: $tw.wiki,\n\t\t\tdocument: document\n\t\t});\n\t}\n\t// Find a working syncadaptor\n\t$tw.syncadaptor = undefined;\n\t$tw.modules.forEachModuleOfType(\"syncadaptor\",function(title,module) {\n\t\tif(!$tw.syncadaptor && module.adaptorClass) {\n\t\t\t$tw.syncadaptor = new module.adaptorClass({wiki: $tw.wiki});\n\t\t}\n\t});\n\t// Set up the syncer object if we've got a syncadaptor\n\tif($tw.syncadaptor) {\n\t\t$tw.syncer = new $tw.Syncer({wiki: $tw.wiki, syncadaptor: $tw.syncadaptor});\n\t} \n\t// Setup the saver handler\n\t$tw.saverHandler = new $tw.SaverHandler({wiki: $tw.wiki, dirtyTracking: !$tw.syncadaptor});\n\t// Host-specific startup\n\tif($tw.browser) {\n\t\t// Install the popup manager\n\t\t$tw.popup = new $tw.utils.Popup();\n\t\t// Install the animator\n\t\t$tw.anim = new $tw.utils.Animator();\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/startup.js",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/story.js": {
"text": "/*\\\ntitle: $:/core/modules/startup/story.js\ntype: application/javascript\nmodule-type: startup\n\nLoad core modules\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"story\";\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Default story and history lists\nvar DEFAULT_STORY_TITLE = \"$:/StoryList\";\nvar DEFAULT_HISTORY_TITLE = \"$:/HistoryList\";\n\n// Default tiddlers\nvar DEFAULT_TIDDLERS_TITLE = \"$:/DefaultTiddlers\";\n\n// Config\nvar CONFIG_UPDATE_ADDRESS_BAR = \"$:/config/Navigation/UpdateAddressBar\"; // Can be \"no\", \"permalink\", \"permaview\"\nvar CONFIG_UPDATE_HISTORY = \"$:/config/Navigation/UpdateHistory\"; // Can be \"yes\" or \"no\"\n\nexports.startup = function() {\n\t// Open startup tiddlers\n\topenStartupTiddlers();\n\tif($tw.browser) {\n\t\t// Set up location hash update\n\t\t$tw.wiki.addEventListener(\"change\",function(changes) {\n\t\t\tif($tw.utils.hop(changes,DEFAULT_STORY_TITLE) || $tw.utils.hop(changes,DEFAULT_HISTORY_TITLE)) {\n\t\t\t\tupdateLocationHash({\n\t\t\t\t\tupdateAddressBar: $tw.wiki.getTiddlerText(CONFIG_UPDATE_ADDRESS_BAR,\"permaview\").trim(),\n\t\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim()\n\t\t\t\t});\n\t\t\t}\n\t\t});\n\t\t// Listen for changes to the browser location hash\n\t\twindow.addEventListener(\"hashchange\",function() {\n\t\t\tvar hash = $tw.utils.getLocationHash();\n\t\t\tif(hash !== $tw.locationHash) {\n\t\t\t\t$tw.locationHash = hash;\n\t\t\t\topenStartupTiddlers({defaultToCurrentStory: true});\n\t\t\t}\n\t\t},false);\n\t\t// Listen for the tm-browser-refresh message\n\t\t$tw.rootWidget.addEventListener(\"tm-browser-refresh\",function(event) {\n\t\t\twindow.location.reload(true);\n\t\t});\n\t\t// Listen for the tm-home message\n\t\t$tw.rootWidget.addEventListener(\"tm-home\",function(event) {\n\t\t\twindow.location.hash = \"\";\n\t\t\tvar storyFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE),\n\t\t\t\tstoryList = $tw.wiki.filterTiddlers(storyFilter);\n\t\t\t//invoke any hooks that might change the default story list\n\t\t\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t\t\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t\t\tif(storyList[0]) {\n\t\t\t\t$tw.wiki.addToHistory(storyList[0]);\t\t\t\t\n\t\t\t}\n\t\t});\n\t\t// Listen for the tm-permalink message\n\t\t$tw.rootWidget.addEventListener(\"tm-permalink\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: \"permalink\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle\n\t\t\t});\n\t\t});\n\t\t// Listen for the tm-permaview message\n\t\t$tw.rootWidget.addEventListener(\"tm-permaview\",function(event) {\n\t\t\tupdateLocationHash({\n\t\t\t\tupdateAddressBar: \"permaview\",\n\t\t\t\tupdateHistory: $tw.wiki.getTiddlerText(CONFIG_UPDATE_HISTORY,\"no\").trim(),\n\t\t\t\ttargetTiddler: event.param || event.tiddlerTitle\n\t\t\t});\n\t\t});\n\t}\n};\n\n/*\nProcess the location hash to open the specified tiddlers. Options:\ndefaultToCurrentStory: If true, the current story is retained as the default, instead of opening the default tiddlers\n*/\nfunction openStartupTiddlers(options) {\n\toptions = options || {};\n\t// Work out the target tiddler and the story filter. \"null\" means \"unspecified\"\n\tvar target = null,\n\t\tstoryFilter = null;\n\tif($tw.locationHash.length > 1) {\n\t\tvar hash = $tw.locationHash.substr(1),\n\t\t\tsplit = hash.indexOf(\":\");\n\t\tif(split === -1) {\n\t\t\ttarget = decodeURIComponent(hash.trim());\n\t\t} else {\n\t\t\ttarget = decodeURIComponent(hash.substr(0,split).trim());\n\t\t\tstoryFilter = decodeURIComponent(hash.substr(split + 1).trim());\n\t\t}\n\t}\n\t// If the story wasn't specified use the current tiddlers or a blank story\n\tif(storyFilter === null) {\n\t\tif(options.defaultToCurrentStory) {\n\t\t\tvar currStoryList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE);\n\t\t\tstoryFilter = $tw.utils.stringifyList(currStoryList);\n\t\t} else {\n\t\t\tif(target && target !== \"\") {\n\t\t\t\tstoryFilter = \"\";\n\t\t\t} else {\n\t\t\t\tstoryFilter = $tw.wiki.getTiddlerText(DEFAULT_TIDDLERS_TITLE);\n\t\t\t}\n\t\t}\n\t}\n\t// Process the story filter to get the story list\n\tvar storyList = $tw.wiki.filterTiddlers(storyFilter);\n\t// Invoke any hooks that want to change the default story list\n\tstoryList = $tw.hooks.invokeHook(\"th-opening-default-tiddlers-list\",storyList);\n\t// If the target tiddler isn't included then splice it in at the top\n\tif(target && storyList.indexOf(target) === -1) {\n\t\tstoryList.unshift(target);\n\t}\n\t// Save the story list\n\t$tw.wiki.addTiddler({title: DEFAULT_STORY_TITLE, text: \"\", list: storyList},$tw.wiki.getModificationFields());\n\t// If a target tiddler was specified add it to the history stack\n\tif(target && target !== \"\") {\n\t\t// The target tiddler doesn't need double square brackets, but we'll silently remove them if they're present\n\t\tif(target.indexOf(\"[[\") === 0 && target.substr(-2) === \"]]\") {\n\t\t\ttarget = target.substr(2,target.length - 4);\n\t\t}\n\t\t$tw.wiki.addToHistory(target);\n\t} else if(storyList.length > 0) {\n\t\t$tw.wiki.addToHistory(storyList[0]);\n\t}\n}\n\n/*\noptions: See below\noptions.updateAddressBar: \"permalink\", \"permaview\" or \"no\" (defaults to \"permaview\")\noptions.updateHistory: \"yes\" or \"no\" (defaults to \"no\")\noptions.targetTiddler: optional title of target tiddler for permalink\n*/\nfunction updateLocationHash(options) {\n\tif(options.updateAddressBar !== \"no\") {\n\t\t// Get the story and the history stack\n\t\tvar storyList = $tw.wiki.getTiddlerList(DEFAULT_STORY_TITLE),\n\t\t\thistoryList = $tw.wiki.getTiddlerData(DEFAULT_HISTORY_TITLE,[]),\n\t\t\ttargetTiddler = \"\";\n\t\tif(options.targetTiddler) {\n\t\t\ttargetTiddler = options.targetTiddler;\n\t\t} else {\n\t\t\t// The target tiddler is the one at the top of the stack\n\t\t\tif(historyList.length > 0) {\n\t\t\t\ttargetTiddler = historyList[historyList.length-1].title;\n\t\t\t}\n\t\t\t// Blank the target tiddler if it isn't present in the story\n\t\t\tif(storyList.indexOf(targetTiddler) === -1) {\n\t\t\t\ttargetTiddler = \"\";\n\t\t\t}\n\t\t}\n\t\t// Assemble the location hash\n\t\tif(options.updateAddressBar === \"permalink\") {\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler);\n\t\t} else {\n\t\t\t$tw.locationHash = \"#\" + encodeURIComponent(targetTiddler) + \":\" + encodeURIComponent($tw.utils.stringifyList(storyList));\n\t\t}\n\t\t// Only change the location hash if we must, thus avoiding unnecessary onhashchange events\n\t\tif($tw.utils.getLocationHash() !== $tw.locationHash) {\n\t\t\tif(options.updateHistory === \"yes\") {\n\t\t\t\t// Assign the location hash so that history is updated\n\t\t\t\twindow.location.hash = $tw.locationHash;\n\t\t\t} else {\n\t\t\t\t// We use replace so that browser history isn't affected\n\t\t\t\twindow.location.replace(window.location.toString().split(\"#\")[0] + $tw.locationHash);\n\t\t\t}\n\t\t}\n\t}\n}\n\n})();\n",
"title": "$:/core/modules/startup/story.js",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/startup/windows.js": {
"text": "/*\\\ntitle: $:/core/modules/startup/windows.js\ntype: application/javascript\nmodule-type: startup\n\nSetup root widget handlers for the messages concerned with opening external browser windows\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Export name and synchronous status\nexports.name = \"windows\";\nexports.platforms = [\"browser\"];\nexports.after = [\"startup\"];\nexports.synchronous = true;\n\n// Global to keep track of open windows (hashmap by title)\nvar windows = {};\n\nexports.startup = function() {\n\t// Handle open window message\n\t$tw.rootWidget.addEventListener(\"tm-open-window\",function(event) {\n\t\t// Get the parameters\n\t\tvar refreshHandler,\n\t\t\ttitle = event.param || event.tiddlerTitle,\n\t\t\tparamObject = event.paramObject || {},\n\t\t\ttemplate = paramObject.template || \"$:/core/templates/single.tiddler.window\",\n\t\t\twidth = paramObject.width || \"700\",\n\t\t\theight = paramObject.height || \"600\",\n\t\t\tvariables = $tw.utils.extend({},paramObject,{currentTiddler: title});\n\t\t// Open the window\n\t\tvar srcWindow = window.open(\"\",\"external-\" + title,\"scrollbars,width=\" + width + \",height=\" + height),\n\t\t\tsrcDocument = srcWindow.document;\n\t\twindows[title] = srcWindow;\n\t\t// Check for reopening the same window\n\t\tif(srcWindow.haveInitialisedWindow) {\n\t\t\treturn;\n\t\t}\n\t\t// Initialise the document\n\t\tsrcDocument.write(\"<html><head></head><body class='tc-body tc-single-tiddler-window'></body></html>\");\n\t\tsrcDocument.close();\n\t\tsrcDocument.title = title;\n\t\tsrcWindow.addEventListener(\"beforeunload\",function(event) {\n\t\t\tdelete windows[title];\n\t\t\t$tw.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t},false);\n\t\t// Set up the styles\n\t\tvar styleWidgetNode = $tw.wiki.makeTranscludeWidget(\"$:/core/ui/PageStylesheet\",{document: $tw.fakeDocument, variables: variables}),\n\t\t\tstyleContainer = $tw.fakeDocument.createElement(\"style\");\n\t\tstyleWidgetNode.render(styleContainer,null);\n\t\tvar styleElement = srcDocument.createElement(\"style\");\n\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\tsrcDocument.head.insertBefore(styleElement,srcDocument.head.firstChild);\n\t\t// Render the text of the tiddler\n\t\tvar parser = $tw.wiki.parseTiddler(template),\n\t\t\twidgetNode = $tw.wiki.makeWidget(parser,{document: srcDocument, parentWidget: $tw.rootWidget, variables: variables});\n\t\twidgetNode.render(srcDocument.body,srcDocument.body.firstChild);\n\t\t// Function to handle refreshes\n\t\trefreshHandler = function(changes) {\n\t\t\tif(styleWidgetNode.refresh(changes,styleContainer,null)) {\n\t\t\t\tstyleElement.innerHTML = styleContainer.textContent;\n\t\t\t}\n\t\t\twidgetNode.refresh(changes);\n\t\t};\n\t\t$tw.wiki.addEventListener(\"change\",refreshHandler);\n\t\tsrcWindow.haveInitialisedWindow = true;\n\t});\n\t// Close open windows when unloading main window\n\t$tw.addUnloadTask(function() {\n\t\t$tw.utils.each(windows,function(win) {\n\t\t\twin.close();\n\t\t});\n\t});\n\n};\n\n})();\n",
"title": "$:/core/modules/startup/windows.js",
"type": "application/javascript",
"module-type": "startup"
},
"$:/core/modules/story.js": {
"text": "/*\\\ntitle: $:/core/modules/story.js\ntype: application/javascript\nmodule-type: global\n\nLightweight object for managing interactions with the story and history lists.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nConstruct Story object with options:\nwiki: reference to wiki object to use to resolve tiddler titles\nstoryTitle: title of story list tiddler\nhistoryTitle: title of history list tiddler\n*/\nfunction Story(options) {\n\toptions = options || {};\n\tthis.wiki = options.wiki || $tw.wiki;\n\tthis.storyTitle = options.storyTitle || \"$:/StoryList\";\n\tthis.historyTitle = options.historyTitle || \"$:/HistoryList\";\n};\n\nStory.prototype.navigateTiddler = function(navigateTo,navigateFromTitle,navigateFromClientRect) {\n\tthis.addToStory(navigateTo,navigateFromTitle);\n\tthis.addToHistory(navigateTo,navigateFromClientRect);\n};\n\nStory.prototype.getStoryList = function() {\n\treturn this.wiki.getTiddlerList(this.storyTitle) || [];\n};\n\nStory.prototype.addToStory = function(navigateTo,navigateFromTitle,options) {\n\toptions = options || {};\n\tvar storyList = this.getStoryList();\n\t// See if the tiddler is already there\n\tvar slot = storyList.indexOf(navigateTo);\n\t// Quit if it already exists in the story river\n\tif(slot >= 0) {\n\t\treturn;\n\t}\n\t// First we try to find the position of the story element we navigated from\n\tvar fromIndex = storyList.indexOf(navigateFromTitle);\n\tif(fromIndex >= 0) {\n\t\t// The tiddler is added from inside the river\n\t\t// Determine where to insert the tiddler; Fallback is \"below\"\n\t\tswitch(options.openLinkFromInsideRiver) {\n\t\t\tcase \"top\":\n\t\t\t\tslot = 0;\n\t\t\t\tbreak;\n\t\t\tcase \"bottom\":\n\t\t\t\tslot = storyList.length;\n\t\t\t\tbreak;\n\t\t\tcase \"above\":\n\t\t\t\tslot = fromIndex;\n\t\t\t\tbreak;\n\t\t\tcase \"below\": // Intentional fall-through\n\t\t\tdefault:\n\t\t\t\tslot = fromIndex + 1;\n\t\t\t\tbreak;\n\t\t}\n\t} else {\n\t\t// The tiddler is opened from outside the river. Determine where to insert the tiddler; default is \"top\"\n\t\tif(options.openLinkFromOutsideRiver === \"bottom\") {\n\t\t\t// Insert at bottom\n\t\t\tslot = storyList.length;\n\t\t} else {\n\t\t\t// Insert at top\n\t\t\tslot = 0;\n\t\t}\n\t}\n\t// Add the tiddler\n\tstoryList.splice(slot,0,navigateTo);\n\t// Save the story\n\tthis.saveStoryList(storyList);\n};\n\nStory.prototype.saveStoryList = function(storyList) {\n\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\tthis.wiki.getCreationFields(),\n\t\t{title: this.storyTitle},\n\t\tstoryTiddler,\n\t\t{list: storyList},\n\t\tthis.wiki.getModificationFields()\n\t));\n};\n\nStory.prototype.addToHistory = function(navigateTo,navigateFromClientRect) {\n\tvar titles = $tw.utils.isArray(navigateTo) ? navigateTo : [navigateTo];\n\t// Add a new record to the top of the history stack\n\tvar historyList = this.wiki.getTiddlerData(this.historyTitle,[]);\n\t$tw.utils.each(titles,function(title) {\n\t\thistoryList.push({title: title, fromPageRect: navigateFromClientRect});\n\t});\n\tthis.wiki.setTiddlerData(this.historyTitle,historyList,{\"current-tiddler\": titles[titles.length-1]});\n};\n\nStory.prototype.storyCloseTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCloseAllTiddlers = function() {\n// TBD\n};\n\nStory.prototype.storyCloseOtherTiddlers = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyEditTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyDeleteTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storySaveTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyCancelTiddler = function(targetTitle) {\n// TBD\n};\n\nStory.prototype.storyNewTiddler = function(targetTitle) {\n// TBD\n};\n\nexports.Story = Story;\n\n\n})();\n",
"title": "$:/core/modules/story.js",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/storyviews/classic.js": {
"text": "/*\\\ntitle: $:/core/modules/storyviews/classic.js\ntype: application/javascript\nmodule-type: storyview\n\nViews the story as a linear sequence\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ClassicStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nClassicStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Scroll the node into view\n\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n};\n\nClassicStoryView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Get the current height of the tiddler\n\tvar computedStyle = window.getComputedStyle(targetElement),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t// Reset the margin once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"}\n\t\t]);\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t// Transition to the final position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n};\n\nClassicStoryView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\twidget.removeChildDomNodes();\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Get the current height of the tiddler\n\tvar currWidth = targetElement.offsetWidth,\n\t\tcomputedStyle = window.getComputedStyle(targetElement),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrHeight = targetElement.offsetHeight + currMarginTop;\n\t// Remove the dom nodes of the widget at the end of the transition\n\tsetTimeout(removeElement,duration);\n\t// Animate the closure\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"translateX(0px)\"},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms \" + easing + \", \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms \" + easing},\n\t\t{transform: \"translateX(-\" + currWidth + \"px)\"},\n\t\t{marginBottom: (-currHeight) + \"px\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n};\n\nexports.classic = ClassicStoryView;\n\n})();",
"title": "$:/core/modules/storyviews/classic.js",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/storyviews/pop.js": {
"text": "/*\\\ntitle: $:/core/modules/storyviews/pop.js\ntype: application/javascript\nmodule-type: storyview\n\nAnimates list insertions and removals\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar PopStoryView = function(listWidget) {\n\tthis.listWidget = listWidget;\n};\n\nPopStoryView.prototype.navigateTo = function(historyInfo) {\n\tvar listElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Scroll the node into view\n\tthis.listWidget.dispatchEvent({type: \"tm-scroll\", target: targetElement});\n};\n\nPopStoryView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Reset once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(targetElement,[\n\t\t\t{transition: \"none\"},\n\t\t\t{transform: \"none\"}\n\t\t]);\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(2)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t// Transition to the final position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n};\n\nPopStoryView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\tif(targetElement.parentNode) {\n\t\t\t\twidget.removeChildDomNodes();\n\t\t\t}\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Remove the element at the end of the transition\n\tsetTimeout(removeElement,duration);\n\t// Animate the closure\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: \"none\"},\n\t\t{transform: \"scale(1)\"},\n\t\t{opacity: \"1.0\"}\n\t]);\n\t$tw.utils.forceLayout(targetElement);\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{transform: \"scale(0.1)\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n};\n\nexports.pop = PopStoryView;\n\n})();\n",
"title": "$:/core/modules/storyviews/pop.js",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/storyviews/zoomin.js": {
"text": "/*\\\ntitle: $:/core/modules/storyviews/zoomin.js\ntype: application/javascript\nmodule-type: storyview\n\nZooms between individual tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar easing = \"cubic-bezier(0.645, 0.045, 0.355, 1)\"; // From http://easings.net/#easeInOutCubic\n\nvar ZoominListView = function(listWidget) {\n\tvar self = this;\n\tthis.listWidget = listWidget;\n\t// Get the index of the tiddler that is at the top of the history\n\tvar history = this.listWidget.wiki.getTiddlerDataCached(this.listWidget.historyTitle,[]),\n\t\ttargetTiddler;\n\tif(history.length > 0) {\n\t\ttargetTiddler = history[history.length-1].title;\n\t}\n\t// Make all the tiddlers position absolute, and hide all but the top (or first) one\n\t$tw.utils.each(this.listWidget.children,function(itemWidget,index) {\n\t\tvar domNode = itemWidget.findFirstDomNode();\n\t\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\t\tif(!(domNode instanceof Element)) {\n\t\t\treturn;\n\t\t}\n\t\tif((targetTiddler && targetTiddler !== itemWidget.parseTreeNode.itemTitle) || (!targetTiddler && index)) {\n\t\t\tdomNode.style.display = \"none\";\n\t\t} else {\n\t\t\tself.currentTiddlerDomNode = domNode;\n\t\t}\n\t\t$tw.utils.addClass(domNode,\"tc-storyview-zoomin-tiddler\");\n\t});\n};\n\nZoominListView.prototype.navigateTo = function(historyInfo) {\n\tvar duration = $tw.utils.getAnimationDuration(),\n\t\tlistElementIndex = this.listWidget.findListItem(0,historyInfo.title);\n\tif(listElementIndex === undefined) {\n\t\treturn;\n\t}\n\tvar listItemWidget = this.listWidget.children[listElementIndex],\n\t\ttargetElement = listItemWidget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the new tiddler be position absolute and visible so that we can measure it\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"0 0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{opacity: \"0.0\"}\n\t]);\n\t// Get the position of the source node, or use the centre of the window as the source position\n\tvar sourceBounds = historyInfo.fromPageRect || {\n\t\t\tleft: window.innerWidth/2 - 2,\n\t\t\ttop: window.innerHeight/2 - 2,\n\t\t\twidth: window.innerWidth/8,\n\t\t\theight: window.innerHeight/8\n\t\t};\n\t// Try to find the title node in the target tiddler\n\tvar titleDomNode = findTitleDomNode(listItemWidget) || listItemWidget.findFirstDomNode(),\n\t\tzoomBounds = titleDomNode.getBoundingClientRect();\n\t// Compute the transform for the target tiddler to make the title lie over the source rectange\n\tvar targetBounds = targetElement.getBoundingClientRect(),\n\t\tscale = sourceBounds.width / zoomBounds.width,\n\t\tx = sourceBounds.left - targetBounds.left - (zoomBounds.left - targetBounds.left) * scale,\n\t\ty = sourceBounds.top - targetBounds.top - (zoomBounds.top - targetBounds.top) * scale;\n\t// Transform the target tiddler to its starting position\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(targetElement);\n\t// Apply the ending transitions with a timeout to ensure that the previously applied transformations are applied first\n\tvar self = this,\n\t\tprevCurrentTiddler = this.currentTiddlerDomNode;\n\tthis.currentTiddlerDomNode = targetElement;\n\t// Transform the target tiddler to its natural size\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{zIndex: \"500\"},\n\t]);\n\t// Transform the previous tiddler out of the way and then hide it\n\tif(prevCurrentTiddler && prevCurrentTiddler !== targetElement) {\n\t\tscale = zoomBounds.width / sourceBounds.width;\n\t\tx = zoomBounds.left - targetBounds.left - (sourceBounds.left - targetBounds.left) * scale;\n\t\ty = zoomBounds.top - targetBounds.top - (sourceBounds.top - targetBounds.top) * scale;\n\t\t$tw.utils.setStyle(prevCurrentTiddler,[\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transformOrigin: \"0 0\"},\n\t\t\t{transform: \"translateX(\" + x + \"px) translateY(\" + y + \"px) scale(\" + scale + \")\"},\n\t\t\t{zIndex: \"0\"}\n\t\t]);\n\t\t// Hide the tiddler when the transition has finished\n\t\tsetTimeout(function() {\n\t\t\tif(self.currentTiddlerDomNode !== prevCurrentTiddler) {\n\t\t\t\tprevCurrentTiddler.style.display = \"none\";\n\t\t\t}\n\t\t},duration);\n\t}\n\t// Scroll the target into view\n//\t$tw.pageScroller.scrollIntoView(targetElement);\n};\n\n/*\nFind the first child DOM node of a widget that has the class \"tc-title\"\n*/\nfunction findTitleDomNode(widget,targetClass) {\n\ttargetClass = targetClass || \"tc-title\";\n\tvar domNode = widget.findFirstDomNode();\n\tif(domNode && domNode.querySelector) {\n\t\treturn domNode.querySelector(\".\" + targetClass);\n\t}\n\treturn null;\n}\n\nZoominListView.prototype.insert = function(widget) {\n\tvar targetElement = widget.findFirstDomNode();\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\treturn;\n\t}\n\t// Make the newly inserted node position absolute and hidden\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"none\"}\n\t]);\n};\n\nZoominListView.prototype.remove = function(widget) {\n\tvar targetElement = widget.findFirstDomNode(),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\tremoveElement = function() {\n\t\t\twidget.removeChildDomNodes();\n\t\t};\n\t// Abandon if the list entry isn't a DOM element (it might be a text node)\n\tif(!(targetElement instanceof Element)) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Abandon if hidden\n\tif(targetElement.style.display != \"block\" ) {\n\t\tremoveElement();\n\t\treturn;\n\t}\n\t// Set up the tiddler that is being closed\n\t$tw.utils.addClass(targetElement,\"tc-storyview-zoomin-tiddler\");\n\t$tw.utils.setStyle(targetElement,[\n\t\t{display: \"block\"},\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t{transition: \"none\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\t// We'll move back to the previous or next element in the story\n\tvar toWidget = widget.previousSibling();\n\tif(!toWidget) {\n\t\ttoWidget = widget.nextSibling();\n\t}\n\tvar toWidgetDomNode = toWidget && toWidget.findFirstDomNode();\n\t// Set up the tiddler we're moving back in\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.addClass(toWidgetDomNode,\"tc-storyview-zoomin-tiddler\");\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{display: \"block\"},\n\t\t\t{transformOrigin: \"50% 50%\"},\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(10)\"},\n\t\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t\t{opacity: \"0\"},\n\t\t\t{zIndex: \"500\"}\n\t\t]);\n\t\tthis.currentTiddlerDomNode = toWidgetDomNode;\n\t}\n\t// Animate them both\n\t// Force layout\n\t$tw.utils.forceLayout(this.listWidget.parentDomNode);\n\t// First, the tiddler we're closing\n\t$tw.utils.setStyle(targetElement,[\n\t\t{transformOrigin: \"50% 50%\"},\n\t\t{transform: \"translateX(0px) translateY(0px) scale(0.1)\"},\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms \" + easing + \", opacity \" + duration + \"ms \" + easing},\n\t\t{opacity: \"0\"},\n\t\t{zIndex: \"0\"}\n\t]);\n\tsetTimeout(removeElement,duration);\n\t// Now the tiddler we're going back to\n\tif(toWidgetDomNode) {\n\t\t$tw.utils.setStyle(toWidgetDomNode,[\n\t\t\t{transform: \"translateX(0px) translateY(0px) scale(1)\"},\n\t\t\t{opacity: \"1\"}\n\t\t]);\n\t}\n\treturn true; // Indicate that we'll delete the DOM node\n};\n\nexports.zoomin = ZoominListView;\n\n})();\n",
"title": "$:/core/modules/storyviews/zoomin.js",
"type": "application/javascript",
"module-type": "storyview"
},
"$:/core/modules/syncer.js": {
"text": "/*\\\ntitle: $:/core/modules/syncer.js\ntype: application/javascript\nmodule-type: global\n\nThe syncer tracks changes to the store. If a syncadaptor is used then individual tiddlers are synchronised through it. If there is no syncadaptor then the entire wiki is saved via saver modules.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nInstantiate the syncer with the following options:\nsyncadaptor: reference to syncadaptor to be used\nwiki: wiki to be synced\n*/\nfunction Syncer(options) {\n\tvar self = this;\n\tthis.wiki = options.wiki;\n\tthis.syncadaptor = options.syncadaptor;\n\t// Make a logger\n\tthis.logger = new $tw.utils.Logger(\"syncer\" + ($tw.browser ? \"-browser\" : \"\") + ($tw.node ? \"-server\" : \"\"));\n\t// Compile the dirty tiddler filter\n\tthis.filterFn = this.wiki.compileFilter(this.wiki.getTiddlerText(this.titleSyncFilter));\n\t// Record information for known tiddlers\n\tthis.readTiddlerInfo();\n\t// Tasks are {type: \"load\"/\"save\"/\"delete\", title:, queueTime:, lastModificationTime:}\n\tthis.taskQueue = {}; // Hashmap of tasks yet to be performed\n\tthis.taskInProgress = {}; // Hash of tasks in progress\n\tthis.taskTimerId = null; // Timer for task dispatch\n\tthis.pollTimerId = null; // Timer for polling server\n\t// Listen out for changes to tiddlers\n\tthis.wiki.addEventListener(\"change\",function(changes) {\n\t\tself.syncToServer(changes);\n\t});\n\t// Browser event handlers\n\tif($tw.browser) {\n\t\t// Set up our beforeunload handler\n\t\t$tw.addUnloadTask(function(event) {\n\t\t\tvar confirmationMessage;\n\t\t\tif(self.isDirty()) {\n\t\t\t\tconfirmationMessage = $tw.language.getString(\"UnsavedChangesWarning\");\n\t\t\t\tevent.returnValue = confirmationMessage; // Gecko\n\t\t\t}\n\t\t\treturn confirmationMessage;\n\t\t});\n\t\t// Listen out for login/logout/refresh events in the browser\n\t\t$tw.rootWidget.addEventListener(\"tm-login\",function() {\n\t\t\tself.handleLoginEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-logout\",function() {\n\t\t\tself.handleLogoutEvent();\n\t\t});\n\t\t$tw.rootWidget.addEventListener(\"tm-server-refresh\",function() {\n\t\t\tself.handleRefreshEvent();\n\t\t});\n\t}\n\t// Listen out for lazyLoad events\n\tthis.wiki.addEventListener(\"lazyLoad\",function(title) {\n\t\tself.handleLazyLoadEvent(title);\n\t});\n\t// Get the login status\n\tthis.getStatus(function(err,isLoggedIn) {\n\t\t// Do a sync from the server\n\t\tself.syncFromServer();\n\t});\n}\n\n/*\nConstants\n*/\nSyncer.prototype.titleIsLoggedIn = \"$:/status/IsLoggedIn\";\nSyncer.prototype.titleUserName = \"$:/status/UserName\";\nSyncer.prototype.titleSyncFilter = \"$:/config/SyncFilter\";\nSyncer.prototype.titleSavedNotification = \"$:/language/Notifications/Save/Done\";\nSyncer.prototype.taskTimerInterval = 1 * 1000; // Interval for sync timer\nSyncer.prototype.throttleInterval = 1 * 1000; // Defer saving tiddlers if they've changed in the last 1s...\nSyncer.prototype.fallbackInterval = 10 * 1000; // Unless the task is older than 10s\nSyncer.prototype.pollTimerInterval = 60 * 1000; // Interval for polling for changes from the adaptor\n\n\n/*\nRead (or re-read) the latest tiddler info from the store\n*/\nSyncer.prototype.readTiddlerInfo = function() {\n\t// Hashmap by title of {revision:,changeCount:,adaptorInfo:}\n\tthis.tiddlerInfo = {};\n\t// Record information for known tiddlers\n\tvar self = this,\n\t\ttiddlers = this.filterFn.call(this.wiki);\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\tself.tiddlerInfo[title] = {\n\t\t\trevision: tiddler.fields.revision,\n\t\t\tadaptorInfo: self.syncadaptor && self.syncadaptor.getTiddlerInfo(tiddler),\n\t\t\tchangeCount: self.wiki.getChangeCount(title)\n\t\t};\n\t});\n};\n\n/*\nChecks whether the wiki is dirty (ie the window shouldn't be closed)\n*/\nSyncer.prototype.isDirty = function() {\n\treturn (this.numTasksInQueue() > 0) || (this.numTasksInProgress() > 0);\n};\n\n/*\nUpdate the document body with the class \"tc-dirty\" if the wiki has unsaved/unsynced changes\n*/\nSyncer.prototype.updateDirtyStatus = function() {\n\tif($tw.browser) {\n\t\t$tw.utils.toggleClass(document.body,\"tc-dirty\",this.isDirty());\n\t}\n};\n\n/*\nSave an incoming tiddler in the store, and updates the associated tiddlerInfo\n*/\nSyncer.prototype.storeTiddler = function(tiddlerFields) {\n\t// Save the tiddler\n\tvar tiddler = new $tw.Tiddler(this.wiki.getTiddler(tiddlerFields.title),tiddlerFields);\n\tthis.wiki.addTiddler(tiddler);\n\t// Save the tiddler revision and changeCount details\n\tthis.tiddlerInfo[tiddlerFields.title] = {\n\t\trevision: tiddlerFields.revision,\n\t\tadaptorInfo: this.syncadaptor.getTiddlerInfo(tiddler),\n\t\tchangeCount: this.wiki.getChangeCount(tiddlerFields.title)\n\t};\n};\n\nSyncer.prototype.getStatus = function(callback) {\n\tvar self = this;\n\t// Check if the adaptor supports getStatus()\n\tif(this.syncadaptor && this.syncadaptor.getStatus) {\n\t\t// Mark us as not logged in\n\t\tthis.wiki.addTiddler({title: this.titleIsLoggedIn,text: \"no\"});\n\t\t// Get login status\n\t\tthis.syncadaptor.getStatus(function(err,isLoggedIn,username) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t// Set the various status tiddlers\n\t\t\tself.wiki.addTiddler({title: self.titleIsLoggedIn,text: isLoggedIn ? \"yes\" : \"no\"});\n\t\t\tif(isLoggedIn) {\n\t\t\t\tself.wiki.addTiddler({title: self.titleUserName,text: username || \"\"});\n\t\t\t} else {\n\t\t\t\tself.wiki.deleteTiddler(self.titleUserName);\n\t\t\t}\n\t\t\t// Invoke the callback\n\t\t\tif(callback) {\n\t\t\t\tcallback(err,isLoggedIn,username);\n\t\t\t}\n\t\t});\n\t} else {\n\t\tcallback(null,true,\"UNAUTHENTICATED\");\n\t}\n};\n\n/*\nSynchronise from the server by reading the skinny tiddler list and queuing up loads for any tiddlers that we don't already have up to date\n*/\nSyncer.prototype.syncFromServer = function() {\n\tif(this.syncadaptor && this.syncadaptor.getSkinnyTiddlers) {\n\t\tthis.logger.log(\"Retrieving skinny tiddler list\");\n\t\tvar self = this;\n\t\tif(this.pollTimerId) {\n\t\t\tclearTimeout(this.pollTimerId);\n\t\t\tthis.pollTimerId = null;\n\t\t}\n\t\tthis.syncadaptor.getSkinnyTiddlers(function(err,tiddlers) {\n\t\t\t// Trigger the next sync\n\t\t\tself.pollTimerId = setTimeout(function() {\n\t\t\t\tself.pollTimerId = null;\n\t\t\t\tself.syncFromServer.call(self);\n\t\t\t},self.pollTimerInterval);\n\t\t\t// Check for errors\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(\"Error retrieving skinny tiddler list:\",err);\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t// Process each incoming tiddler\n\t\t\tfor(var t=0; t<tiddlers.length; t++) {\n\t\t\t\t// Get the incoming tiddler fields, and the existing tiddler\n\t\t\t\tvar tiddlerFields = tiddlers[t],\n\t\t\t\t\tincomingRevision = tiddlerFields.revision + \"\",\n\t\t\t\t\ttiddler = self.wiki.getTiddler(tiddlerFields.title),\n\t\t\t\t\ttiddlerInfo = self.tiddlerInfo[tiddlerFields.title],\n\t\t\t\t\tcurrRevision = tiddlerInfo ? tiddlerInfo.revision : null;\n\t\t\t\t// Ignore the incoming tiddler if it's the same as the revision we've already got\n\t\t\t\tif(currRevision !== incomingRevision) {\n\t\t\t\t\t// Do a full load if we've already got a fat version of the tiddler\n\t\t\t\t\tif(tiddler && tiddler.fields.text !== undefined) {\n\t\t\t\t\t\t// Do a full load of this tiddler\n\t\t\t\t\t\tself.enqueueSyncTask({\n\t\t\t\t\t\t\ttype: \"load\",\n\t\t\t\t\t\t\ttitle: tiddlerFields.title\n\t\t\t\t\t\t});\n\t\t\t\t\t} else {\n\t\t\t\t\t\t// Load the skinny version of the tiddler\n\t\t\t\t\t\tself.storeTiddler(tiddlerFields);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nSynchronise a set of changes to the server\n*/\nSyncer.prototype.syncToServer = function(changes) {\n\tvar self = this,\n\t\tnow = Date.now(),\n\t\tfilteredChanges = this.filterFn.call(this.wiki,function(callback) {\n\t\t\t$tw.utils.each(changes,function(change,title) {\n\t\t\t\tvar tiddler = self.wiki.getTiddler(title);\n\t\t\t\tcallback(tiddler,title);\n\t\t\t});\n\t\t});\n\t$tw.utils.each(changes,function(change,title,object) {\n\t\t// Process the change if it is a deletion of a tiddler we're already syncing, or is on the filtered change list\n\t\tif((change.deleted && $tw.utils.hop(self.tiddlerInfo,title)) || filteredChanges.indexOf(title) !== -1) {\n\t\t\t// Queue a task to sync this tiddler\n\t\t\tself.enqueueSyncTask({\n\t\t\t\ttype: change.deleted ? \"delete\" : \"save\",\n\t\t\t\ttitle: title\n\t\t\t});\n\t\t}\n\t});\n};\n\n/*\nLazily load a skinny tiddler if we can\n*/\nSyncer.prototype.handleLazyLoadEvent = function(title) {\n\t// Queue up a sync task to load this tiddler\n\tthis.enqueueSyncTask({\n\t\ttype: \"load\",\n\t\ttitle: title\n\t});\n};\n\n/*\nDispay a password prompt and allow the user to login\n*/\nSyncer.prototype.handleLoginEvent = function() {\n\tvar self = this;\n\tthis.getStatus(function(err,isLoggedIn,username) {\n\t\tif(!isLoggedIn) {\n\t\t\t$tw.passwordPrompt.createPrompt({\n\t\t\t\tserviceName: \"Login to TiddlySpace\",\n\t\t\t\tcallback: function(data) {\n\t\t\t\t\tself.login(data.username,data.password,function(err,isLoggedIn) {\n\t\t\t\t\t\tself.syncFromServer();\n\t\t\t\t\t});\n\t\t\t\t\treturn true; // Get rid of the password prompt\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t});\n};\n\n/*\nAttempt to login to TiddlyWeb.\n\tusername: username\n\tpassword: password\n\tcallback: invoked with arguments (err,isLoggedIn)\n*/\nSyncer.prototype.login = function(username,password,callback) {\n\tthis.logger.log(\"Attempting to login as\",username);\n\tvar self = this;\n\tif(this.syncadaptor.login) {\n\t\tthis.syncadaptor.login(username,password,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tself.getStatus(function(err,isLoggedIn,username) {\n\t\t\t\tif(callback) {\n\t\t\t\t\tcallback(null,isLoggedIn);\n\t\t\t\t}\n\t\t\t});\n\t\t});\n\t} else {\n\t\tcallback(null,true);\n\t}\n};\n\n/*\nAttempt to log out of TiddlyWeb\n*/\nSyncer.prototype.handleLogoutEvent = function() {\n\tthis.logger.log(\"Attempting to logout\");\n\tvar self = this;\n\tif(this.syncadaptor.logout) {\n\t\tthis.syncadaptor.logout(function(err) {\n\t\t\tif(err) {\n\t\t\t\tself.logger.alert(err);\n\t\t\t} else {\n\t\t\t\tself.getStatus();\n\t\t\t}\n\t\t});\n\t}\n};\n\n/*\nImmediately refresh from the server\n*/\nSyncer.prototype.handleRefreshEvent = function() {\n\tthis.syncFromServer();\n};\n\n/*\nQueue up a sync task. If there is already a pending task for the tiddler, just update the last modification time\n*/\nSyncer.prototype.enqueueSyncTask = function(task) {\n\tvar self = this,\n\t\tnow = Date.now();\n\t// Set the timestamps on this task\n\ttask.queueTime = now;\n\ttask.lastModificationTime = now;\n\t// Fill in some tiddlerInfo if the tiddler is one we haven't seen before\n\tif(!$tw.utils.hop(this.tiddlerInfo,task.title)) {\n\t\tthis.tiddlerInfo[task.title] = {\n\t\t\trevision: null,\n\t\t\tadaptorInfo: {},\n\t\t\tchangeCount: -1\n\t\t};\n\t}\n\t// Bail if this is a save and the tiddler is already at the changeCount that the server has\n\tif(task.type === \"save\" && this.wiki.getChangeCount(task.title) <= this.tiddlerInfo[task.title].changeCount) {\n\t\treturn;\n\t}\n\t// Check if this tiddler is already in the queue\n\tif($tw.utils.hop(this.taskQueue,task.title)) {\n\t\t// this.logger.log(\"Re-queueing up sync task with type:\",task.type,\"title:\",task.title);\n\t\tvar existingTask = this.taskQueue[task.title];\n\t\t// If so, just update the last modification time\n\t\texistingTask.lastModificationTime = task.lastModificationTime;\n\t\t// If the new task is a save then we upgrade the existing task to a save. Thus a pending load is turned into a save if the tiddler changes locally in the meantime. But a pending save is not modified to become a load\n\t\tif(task.type === \"save\" || task.type === \"delete\") {\n\t\t\texistingTask.type = task.type;\n\t\t}\n\t} else {\n\t\t// this.logger.log(\"Queuing up sync task with type:\",task.type,\"title:\",task.title);\n\t\t// If it is not in the queue, insert it\n\t\tthis.taskQueue[task.title] = task;\n\t\tthis.updateDirtyStatus();\n\t}\n\t// Process the queue\n\t$tw.utils.nextTick(function() {self.processTaskQueue.call(self);});\n};\n\n/*\nReturn the number of tasks in progress\n*/\nSyncer.prototype.numTasksInProgress = function() {\n\treturn $tw.utils.count(this.taskInProgress);\n};\n\n/*\nReturn the number of tasks in the queue\n*/\nSyncer.prototype.numTasksInQueue = function() {\n\treturn $tw.utils.count(this.taskQueue);\n};\n\n/*\nTrigger a timeout if one isn't already outstanding\n*/\nSyncer.prototype.triggerTimeout = function() {\n\tvar self = this;\n\tif(!this.taskTimerId) {\n\t\tthis.taskTimerId = setTimeout(function() {\n\t\t\tself.taskTimerId = null;\n\t\t\tself.processTaskQueue.call(self);\n\t\t},self.taskTimerInterval);\n\t}\n};\n\n/*\nProcess the task queue, performing the next task if appropriate\n*/\nSyncer.prototype.processTaskQueue = function() {\n\tvar self = this;\n\t// Only process a task if we're not already performing a task. If we are already performing a task then we'll dispatch the next one when it completes\n\tif(this.numTasksInProgress() === 0) {\n\t\t// Choose the next task to perform\n\t\tvar task = this.chooseNextTask();\n\t\t// Perform the task if we had one\n\t\tif(task) {\n\t\t\t// Remove the task from the queue and add it to the in progress list\n\t\t\tdelete this.taskQueue[task.title];\n\t\t\tthis.taskInProgress[task.title] = task;\n\t\t\tthis.updateDirtyStatus();\n\t\t\t// Dispatch the task\n\t\t\tthis.dispatchTask(task,function(err) {\n\t\t\t\tif(err) {\n\t\t\t\t\tself.logger.alert(\"Sync error while processing '\" + task.title + \"':\\n\" + err);\n\t\t\t\t}\n\t\t\t\t// Mark that this task is no longer in progress\n\t\t\t\tdelete self.taskInProgress[task.title];\n\t\t\t\tself.updateDirtyStatus();\n\t\t\t\t// Process the next task\n\t\t\t\tself.processTaskQueue.call(self);\n\t\t\t});\n\t\t} else {\n\t\t\t// Make sure we've set a time if there wasn't a task to perform, but we've still got tasks in the queue\n\t\t\tif(this.numTasksInQueue() > 0) {\n\t\t\t\tthis.triggerTimeout();\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nChoose the next applicable task\n*/\nSyncer.prototype.chooseNextTask = function() {\n\tvar self = this,\n\t\tcandidateTask = null,\n\t\tnow = Date.now();\n\t// Select the best candidate task\n\t$tw.utils.each(this.taskQueue,function(task,title) {\n\t\t// Exclude the task if there's one of the same name in progress\n\t\tif($tw.utils.hop(self.taskInProgress,title)) {\n\t\t\treturn;\n\t\t}\n\t\t// Exclude the task if it is a save and the tiddler has been modified recently, but not hit the fallback time\n\t\tif(task.type === \"save\" && (now - task.lastModificationTime) < self.throttleInterval &&\n\t\t\t(now - task.queueTime) < self.fallbackInterval) {\n\t\t\treturn;\n\t\t}\n\t\t// Exclude the task if it is newer than the current best candidate\n\t\tif(candidateTask && candidateTask.queueTime < task.queueTime) {\n\t\t\treturn;\n\t\t}\n\t\t// Now this is our best candidate\n\t\tcandidateTask = task;\n\t});\n\treturn candidateTask;\n};\n\n/*\nDispatch a task and invoke the callback\n*/\nSyncer.prototype.dispatchTask = function(task,callback) {\n\tvar self = this;\n\tif(task.type === \"save\") {\n\t\tvar changeCount = this.wiki.getChangeCount(task.title),\n\t\t\ttiddler = this.wiki.getTiddler(task.title);\n\t\tthis.logger.log(\"Dispatching 'save' task:\",task.title);\n\t\tif(tiddler) {\n\t\t\tthis.syncadaptor.saveTiddler(tiddler,function(err,adaptorInfo,revision) {\n\t\t\t\tif(err) {\n\t\t\t\t\treturn callback(err);\n\t\t\t\t}\n\t\t\t\t// Adjust the info stored about this tiddler\n\t\t\t\tself.tiddlerInfo[task.title] = {\n\t\t\t\t\tchangeCount: changeCount,\n\t\t\t\t\tadaptorInfo: adaptorInfo,\n\t\t\t\t\trevision: revision\n\t\t\t\t};\n\t\t\t\t// Invoke the callback\n\t\t\t\tcallback(null);\n\t\t\t},{\n\t\t\t\ttiddlerInfo: self.tiddlerInfo[task.title]\n\t\t\t});\n\t\t} else {\n\t\t\tthis.logger.log(\" Not Dispatching 'save' task:\",task.title,\"tiddler does not exist\");\n\t\t\treturn callback(null);\n\t\t}\n\t} else if(task.type === \"load\") {\n\t\t// Load the tiddler\n\t\tthis.logger.log(\"Dispatching 'load' task:\",task.title);\n\t\tthis.syncadaptor.loadTiddler(task.title,function(err,tiddlerFields) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\t// Store the tiddler\n\t\t\tif(tiddlerFields) {\n\t\t\t\tself.storeTiddler(tiddlerFields);\n\t\t\t}\n\t\t\t// Invoke the callback\n\t\t\tcallback(null);\n\t\t});\n\t} else if(task.type === \"delete\") {\n\t\t// Delete the tiddler\n\t\tthis.logger.log(\"Dispatching 'delete' task:\",task.title);\n\t\tthis.syncadaptor.deleteTiddler(task.title,function(err) {\n\t\t\tif(err) {\n\t\t\t\treturn callback(err);\n\t\t\t}\n\t\t\tdelete self.tiddlerInfo[task.title];\n\t\t\t// Invoke the callback\n\t\t\tcallback(null);\n\t\t},{\n\t\t\ttiddlerInfo: self.tiddlerInfo[task.title]\n\t\t});\n\t}\n};\n\nexports.Syncer = Syncer;\n\n})();\n",
"title": "$:/core/modules/syncer.js",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/tiddler.js": {
"text": "/*\\\ntitle: $:/core/modules/tiddler.js\ntype: application/javascript\nmodule-type: tiddlermethod\n\nExtension methods for the $tw.Tiddler object (constructor and methods required at boot time are in boot/boot.js)\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.hasTag = function(tag) {\n\treturn this.fields.tags && this.fields.tags.indexOf(tag) !== -1;\n};\n\nexports.isPlugin = function() {\n\treturn this.fields.type === \"application/json\" && this.hasField(\"plugin-type\");\n};\n\nexports.isDraft = function() {\n\treturn this.hasField(\"draft.of\");\n};\n\nexports.getFieldString = function(field) {\n\tvar value = this.fields[field];\n\t// Check for a missing field\n\tif(value === undefined || value === null) {\n\t\treturn \"\";\n\t}\n\t// Parse the field with the associated module (if any)\n\tvar fieldModule = $tw.Tiddler.fieldModules[field];\n\tif(fieldModule && fieldModule.stringify) {\n\t\treturn fieldModule.stringify.call(this,value);\n\t} else {\n\t\treturn value.toString();\n\t}\n};\n\n/*\nGet all the fields as a name:value block. Options:\n\texclude: an array of field names to exclude\n*/\nexports.getFieldStringBlock = function(options) {\n\toptions = options || {};\n\tvar exclude = options.exclude || [];\n\tvar fields = [];\n\tfor(var field in this.fields) {\n\t\tif($tw.utils.hop(this.fields,field)) {\n\t\t\tif(exclude.indexOf(field) === -1) {\n\t\t\t\tfields.push(field + \": \" + this.getFieldString(field));\n\t\t\t}\n\t\t}\n\t}\n\treturn fields.join(\"\\n\");\n};\n\n/*\nCompare two tiddlers for equality\ntiddler: the tiddler to compare\nexcludeFields: array of field names to exclude from the comparison\n*/\nexports.isEqual = function(tiddler,excludeFields) {\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\treturn false;\n\t}\n\texcludeFields = excludeFields || [];\n\tvar self = this,\n\t\tdifferences = []; // Fields that have differences\n\t// Add to the differences array\n\tfunction addDifference(fieldName) {\n\t\t// Check for this field being excluded\n\t\tif(excludeFields.indexOf(fieldName) === -1) {\n\t\t\t// Save the field as a difference\n\t\t\t$tw.utils.pushTop(differences,fieldName);\n\t\t}\n\t}\n\t// Returns true if the two values of this field are equal\n\tfunction isFieldValueEqual(fieldName) {\n\t\tvar valueA = self.fields[fieldName],\n\t\t\tvalueB = tiddler.fields[fieldName];\n\t\t// Check for identical string values\n\t\tif(typeof(valueA) === \"string\" && typeof(valueB) === \"string\" && valueA === valueB) {\n\t\t\treturn true;\n\t\t}\n\t\t// Check for identical array values\n\t\tif($tw.utils.isArray(valueA) && $tw.utils.isArray(valueB) && $tw.utils.isArrayEqual(valueA,valueB)) {\n\t\t\treturn true;\n\t\t}\n\t\t// Otherwise the fields must be different\n\t\treturn false;\n\t}\n\t// Compare our fields\n\tfor(var fieldName in this.fields) {\n\t\tif(!isFieldValueEqual(fieldName)) {\n\t\t\taddDifference(fieldName);\n\t\t}\n\t}\n\t// There's a difference for every field in the other tiddler that we don't have\n\tfor(fieldName in tiddler.fields) {\n\t\tif(!(fieldName in this.fields)) {\n\t\t\taddDifference(fieldName);\n\t\t}\n\t}\n\t// Return whether there were any differences\n\treturn differences.length === 0;\n};\n\n})();\n",
"title": "$:/core/modules/tiddler.js",
"type": "application/javascript",
"module-type": "tiddlermethod"
},
"$:/core/modules/upgraders/plugins.js": {
"text": "/*\\\ntitle: $:/core/modules/upgraders/plugins.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that checks that plugins are newer than any already installed version\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar UPGRADE_LIBRARY_TITLE = \"$:/UpgradeLibrary\";\n\nvar BLOCKED_PLUGINS = {\n\t\"$:/themes/tiddlywiki/stickytitles\": {\n\t\tversions: [\"*\"]\n\t},\n\t\"$:/plugins/tiddlywiki/fullscreen\": {\n\t\tversions: [\"*\"]\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {},\n\t\tupgradeLibrary,\n\t\tgetLibraryTiddler = function(title) {\n\t\t\tif(!upgradeLibrary) {\n\t\t\t\tupgradeLibrary = wiki.getTiddlerData(UPGRADE_LIBRARY_TITLE,{});\n\t\t\t\tupgradeLibrary.tiddlers = upgradeLibrary.tiddlers || {};\n\t\t\t}\n\t\t\treturn upgradeLibrary.tiddlers[title];\n\t\t};\n\n\t// Go through all the incoming tiddlers\n\t$tw.utils.each(titles,function(title) {\n\t\tvar incomingTiddler = tiddlers[title];\n\t\t// Check if we're dealing with a plugin\n\t\tif(incomingTiddler && incomingTiddler[\"plugin-type\"] && incomingTiddler.version) {\n\t\t\t// Upgrade the incoming plugin if it is in the upgrade library\n\t\t\tvar libraryTiddler = getLibraryTiddler(title);\n\t\t\tif(libraryTiddler && libraryTiddler[\"plugin-type\"] && libraryTiddler.version) {\n\t\t\t\ttiddlers[title] = libraryTiddler;\n\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Upgraded\",{variables: {incoming: incomingTiddler.version, upgraded: libraryTiddler.version}});\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t// Suppress the incoming plugin if it is older than the currently installed one\n\t\t\tvar existingTiddler = wiki.getTiddler(title);\n\t\t\tif(existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t\t\t// Reject the incoming plugin by blanking all its fields\n\t\t\t\tif($tw.utils.checkVersions(existingTiddler.fields.version,incomingTiddler.version)) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Version\",{variables: {incoming: incomingTiddler.version, existing: existingTiddler.fields.version}});\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif(incomingTiddler && incomingTiddler[\"plugin-type\"]) {\n\t\t\t// Check whether the plugin is on the blocked list\n\t\t\tvar blockInfo = BLOCKED_PLUGINS[title];\n\t\t\tif(blockInfo) {\n\t\t\t\tif(blockInfo.versions.indexOf(\"*\") !== -1 || (incomingTiddler.version && blockInfo.versions.indexOf(incomingTiddler.version) !== -1)) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/Plugins/Suppressed/Incompatible\");\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"title": "$:/core/modules/upgraders/plugins.js",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/upgraders/system.js": {
"text": "/*\\\ntitle: $:/core/modules/upgraders/system.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that suppresses certain system tiddlers that shouldn't be imported\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DONT_IMPORT_LIST = [\"$:/StoryList\",\"$:/HistoryList\"],\n\tDONT_IMPORT_PREFIX_LIST = [\"$:/temp/\",\"$:/state/\"];\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {};\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tif(DONT_IMPORT_LIST.indexOf(title) !== -1) {\n\t\t\ttiddlers[title] = Object.create(null);\n\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/System/Suppressed\");\n\t\t} else {\n\t\t\tfor(var t=0; t<DONT_IMPORT_PREFIX_LIST.length; t++) {\n\t\t\t\tvar prefix = DONT_IMPORT_PREFIX_LIST[t];\n\t\t\t\tif(title.substr(0,prefix.length) === prefix) {\n\t\t\t\t\ttiddlers[title] = Object.create(null);\n\t\t\t\t\tmessages[title] = $tw.language.getString(\"Import/Upgrader/State/Suppressed\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"title": "$:/core/modules/upgraders/system.js",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/upgraders/themetweaks.js": {
"text": "/*\\\ntitle: $:/core/modules/upgraders/themetweaks.js\ntype: application/javascript\nmodule-type: upgrader\n\nUpgrader module that handles the change in theme tweak storage introduced in 5.0.14-beta.\n\nPreviously, theme tweaks were stored in two data tiddlers:\n\n* $:/themes/tiddlywiki/vanilla/metrics\n* $:/themes/tiddlywiki/vanilla/settings\n\nNow, each tweak is stored in its own separate tiddler.\n\nThis upgrader copies any values from the old format to the new. The old data tiddlers are not deleted in case they have been used to store additional indexes.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar MAPPINGS = {\n\t\"$:/themes/tiddlywiki/vanilla/metrics\": {\n\t\t\"fontsize\": \"$:/themes/tiddlywiki/vanilla/metrics/fontsize\",\n\t\t\"lineheight\": \"$:/themes/tiddlywiki/vanilla/metrics/lineheight\",\n\t\t\"storyleft\": \"$:/themes/tiddlywiki/vanilla/metrics/storyleft\",\n\t\t\"storytop\": \"$:/themes/tiddlywiki/vanilla/metrics/storytop\",\n\t\t\"storyright\": \"$:/themes/tiddlywiki/vanilla/metrics/storyright\",\n\t\t\"storywidth\": \"$:/themes/tiddlywiki/vanilla/metrics/storywidth\",\n\t\t\"tiddlerwidth\": \"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\"\n\t},\n\t\"$:/themes/tiddlywiki/vanilla/settings\": {\n\t\t\"fontfamily\": \"$:/themes/tiddlywiki/vanilla/settings/fontfamily\"\n\t}\n};\n\nexports.upgrade = function(wiki,titles,tiddlers) {\n\tvar self = this,\n\t\tmessages = {};\n\t// Check for tiddlers on our list\n\t$tw.utils.each(titles,function(title) {\n\t\tvar mapping = MAPPINGS[title];\n\t\tif(mapping) {\n\t\t\tvar tiddler = new $tw.Tiddler(tiddlers[title]),\n\t\t\t\ttiddlerData = wiki.getTiddlerDataCached(tiddler,{});\n\t\t\tfor(var index in mapping) {\n\t\t\t\tvar mappedTitle = mapping[index];\n\t\t\t\tif(!tiddlers[mappedTitle] || tiddlers[mappedTitle].title !== mappedTitle) {\n\t\t\t\t\ttiddlers[mappedTitle] = {\n\t\t\t\t\t\ttitle: mappedTitle,\n\t\t\t\t\t\ttext: tiddlerData[index]\n\t\t\t\t\t};\n\t\t\t\t\tmessages[mappedTitle] = $tw.language.getString(\"Import/Upgrader/ThemeTweaks/Created\",{variables: {\n\t\t\t\t\t\tfrom: title + \"##\" + index\n\t\t\t\t\t}});\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t});\n\treturn messages;\n};\n\n})();\n",
"title": "$:/core/modules/upgraders/themetweaks.js",
"type": "application/javascript",
"module-type": "upgrader"
},
"$:/core/modules/utils/crypto.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/crypto.js\ntype: application/javascript\nmodule-type: utils\n\nUtility functions related to crypto.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nLook for an encrypted store area in the text of a TiddlyWiki file\n*/\nexports.extractEncryptedStoreArea = function(text) {\n\tvar encryptedStoreAreaStartMarker = \"<pre id=\\\"encryptedStoreArea\\\" type=\\\"text/plain\\\" style=\\\"display:none;\\\">\",\n\t\tencryptedStoreAreaStart = text.indexOf(encryptedStoreAreaStartMarker);\n\tif(encryptedStoreAreaStart !== -1) {\n\t\tvar encryptedStoreAreaEnd = text.indexOf(\"</pre>\",encryptedStoreAreaStart);\n\t\tif(encryptedStoreAreaEnd !== -1) {\n\t\t\treturn $tw.utils.htmlDecode(text.substring(encryptedStoreAreaStart + encryptedStoreAreaStartMarker.length,encryptedStoreAreaEnd-1));\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If the password is not provided then the password in the password store will be used\n*/\nexports.decryptStoreArea = function(encryptedStoreArea,password) {\n\tvar decryptedText = $tw.crypto.decrypt(encryptedStoreArea,password);\n\tif(decryptedText) {\n\t\tvar json = JSON.parse(decryptedText),\n\t\t\ttiddlers = [];\n\t\tfor(var title in json) {\n\t\t\tif(title !== \"$:/isEncrypted\") {\n\t\t\t\ttiddlers.push(json[title]);\n\t\t\t}\n\t\t}\n\t\treturn tiddlers;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n\n/*\nAttempt to extract the tiddlers from an encrypted store area using the current password. If that fails, the user is prompted for a password.\nencryptedStoreArea: text of the TiddlyWiki encrypted store area\ncallback: function(tiddlers) called with the array of decrypted tiddlers\n\nThe following configuration settings are supported:\n\n$tw.config.usePasswordVault: causes any password entered by the user to also be put into the system password vault\n*/\nexports.decryptStoreAreaInteractive = function(encryptedStoreArea,callback,options) {\n\t// Try to decrypt with the current password\n\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea);\n\tif(tiddlers) {\n\t\tcallback(tiddlers);\n\t} else {\n\t\t// Prompt for a new password and keep trying\n\t\t$tw.passwordPrompt.createPrompt({\n\t\t\tserviceName: \"Enter a password to decrypt the imported TiddlyWiki\",\n\t\t\tnoUserName: true,\n\t\t\tcanCancel: true,\n\t\t\tsubmitText: \"Decrypt\",\n\t\t\tcallback: function(data) {\n\t\t\t\t// Exit if the user cancelled\n\t\t\t\tif(!data) {\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t\t// Attempt to decrypt the tiddlers\n\t\t\t\tvar tiddlers = $tw.utils.decryptStoreArea(encryptedStoreArea,data.password);\n\t\t\t\tif(tiddlers) {\n\t\t\t\t\tif($tw.config.usePasswordVault) {\n\t\t\t\t\t\t$tw.crypto.setPassword(data.password);\n\t\t\t\t\t}\n\t\t\t\t\tcallback(tiddlers);\n\t\t\t\t\t// Exit and remove the password prompt\n\t\t\t\t\treturn true;\n\t\t\t\t} else {\n\t\t\t\t\t// We didn't decrypt everything, so continue to prompt for password\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/utils/crypto.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/animations/slide.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/dom/animations/slide.js\ntype: application/javascript\nmodule-type: animation\n\nA simple slide animation that varies the height of the element\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction slideOpen(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration();\n\t// Get the current height of the domNode\n\tvar computedStyle = window.getComputedStyle(domNode),\n\t\tcurrMarginBottom = parseInt(computedStyle.marginBottom,10),\n\t\tcurrMarginTop = parseInt(computedStyle.marginTop,10),\n\t\tcurrPaddingBottom = parseInt(computedStyle.paddingBottom,10),\n\t\tcurrPaddingTop = parseInt(computedStyle.paddingTop,10),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Reset the margin once the transition is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"none\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginBottom: currMarginBottom + \"px\"},\n\t\t{marginTop: currMarginTop + \"px\"},\n\t\t{paddingBottom: currPaddingBottom + \"px\"},\n\t\t{paddingTop: currPaddingTop + \"px\"},\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n}\n\nfunction slideClosed(domNode,options) {\n\toptions = options || {};\n\tvar duration = options.duration || $tw.utils.getAnimationDuration(),\n\t\tcurrHeight = domNode.offsetHeight;\n\t// Clear the properties we've set when the animation is over\n\tsetTimeout(function() {\n\t\t$tw.utils.setStyle(domNode,[\n\t\t\t{transition: \"none\"},\n\t\t\t{marginBottom: \"\"},\n\t\t\t{marginTop: \"\"},\n\t\t\t{paddingBottom: \"\"},\n\t\t\t{paddingTop: \"\"},\n\t\t\t{height: \"auto\"},\n\t\t\t{opacity: \"\"}\n\t\t]);\n\t\tif(options.callback) {\n\t\t\toptions.callback();\n\t\t}\n\t},duration);\n\t// Set up the initial position of the element\n\t$tw.utils.setStyle(domNode,[\n\t\t{height: currHeight + \"px\"},\n\t\t{opacity: \"1\"}\n\t]);\n\t$tw.utils.forceLayout(domNode);\n\t// Transition to the final position\n\t$tw.utils.setStyle(domNode,[\n\t\t{transition: \"margin-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"margin-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-top \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"padding-bottom \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"height \" + duration + \"ms ease-in-out, \" +\n\t\t\t\t\t\"opacity \" + duration + \"ms ease-in-out\"},\n\t\t{marginTop: \"0px\"},\n\t\t{marginBottom: \"0px\"},\n\t\t{paddingTop: \"0px\"},\n\t\t{paddingBottom: \"0px\"},\n\t\t{height: \"0px\"},\n\t\t{opacity: \"0\"}\n\t]);\n}\n\nexports.slide = {\n\topen: slideOpen,\n\tclose: slideClosed\n};\n\n})();\n",
"title": "$:/core/modules/utils/dom/animations/slide.js",
"type": "application/javascript",
"module-type": "animation"
},
"$:/core/modules/utils/dom/animator.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/dom/animator.js\ntype: application/javascript\nmodule-type: utils\n\nOrchestrates animations and transitions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Animator() {\n\t// Get the registered animation modules\n\tthis.animations = {};\n\t$tw.modules.applyMethods(\"animation\",this.animations);\n}\n\nAnimator.prototype.perform = function(type,domNode,options) {\n\toptions = options || {};\n\t// Find an animation that can handle this type\n\tvar chosenAnimation;\n\t$tw.utils.each(this.animations,function(animation,name) {\n\t\tif($tw.utils.hop(animation,type)) {\n\t\t\tchosenAnimation = animation[type];\n\t\t}\n\t});\n\tif(!chosenAnimation) {\n\t\tchosenAnimation = function(domNode,options) {\n\t\t\tif(options.callback) {\n\t\t\t\toptions.callback();\n\t\t\t}\n\t\t};\n\t}\n\t// Call the animation\n\tchosenAnimation(domNode,options);\n};\n\nexports.Animator = Animator;\n\n})();\n",
"title": "$:/core/modules/utils/dom/animator.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/browser.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/dom/browser.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser feature detection\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nSet style properties of an element\n\telement: dom node\n\tstyles: ordered array of {name: value} pairs\n*/\nexports.setStyle = function(element,styles) {\n\tif(element.nodeType === 1) { // Element.ELEMENT_NODE\n\t\tfor(var t=0; t<styles.length; t++) {\n\t\t\tfor(var styleName in styles[t]) {\n\t\t\t\telement.style[$tw.utils.convertStyleNameToPropertyName(styleName)] = styles[t][styleName];\n\t\t\t}\n\t\t}\n\t}\n};\n\n/*\nConverts a standard CSS property name into the local browser-specific equivalent. For example:\n\t\"background-color\" --> \"backgroundColor\"\n\t\"transition\" --> \"webkitTransition\"\n*/\n\nvar styleNameCache = {}; // We'll cache the style name conversions\n\nexports.convertStyleNameToPropertyName = function(styleName) {\n\t// Return from the cache if we can\n\tif(styleNameCache[styleName]) {\n\t\treturn styleNameCache[styleName];\n\t}\n\t// Convert it by first removing any hyphens\n\tvar propertyName = $tw.utils.unHyphenateCss(styleName);\n\t// Then check if it needs a prefix\n\tif($tw.browser && document.body.style[propertyName] === undefined) {\n\t\tvar prefixes = [\"O\",\"MS\",\"Moz\",\"webkit\"];\n\t\tfor(var t=0; t<prefixes.length; t++) {\n\t\t\tvar prefixedName = prefixes[t] + propertyName.substr(0,1).toUpperCase() + propertyName.substr(1);\n\t\t\tif(document.body.style[prefixedName] !== undefined) {\n\t\t\t\tpropertyName = prefixedName;\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}\n\t// Put it in the cache too\n\tstyleNameCache[styleName] = propertyName;\n\treturn propertyName;\n};\n\n/*\nConverts a JS format CSS property name back into the dashed form used in CSS declarations. For example:\n\t\"backgroundColor\" --> \"background-color\"\n\t\"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.convertPropertyNameToStyleName = function(propertyName) {\n\t// Rehyphenate the name\n\tvar styleName = $tw.utils.hyphenateCss(propertyName);\n\t// If there's a webkit prefix, add a dash (other browsers have uppercase prefixes, and so get the dash automatically)\n\tif(styleName.indexOf(\"webkit\") === 0) {\n\t\tstyleName = \"-\" + styleName;\n\t} else if(styleName.indexOf(\"-m-s\") === 0) {\n\t\tstyleName = \"-ms\" + styleName.substr(4);\n\t}\n\treturn styleName;\n};\n\n/*\nRound trip a stylename to a property name and back again. For example:\n\t\"transform\" --> \"webkitTransform\" --> \"-webkit-transform\"\n*/\nexports.roundTripPropertyName = function(propertyName) {\n\treturn $tw.utils.convertPropertyNameToStyleName($tw.utils.convertStyleNameToPropertyName(propertyName));\n};\n\n/*\nConverts a standard event name into the local browser specific equivalent. For example:\n\t\"animationEnd\" --> \"webkitAnimationEnd\"\n*/\n\nvar eventNameCache = {}; // We'll cache the conversions\n\nvar eventNameMappings = {\n\t\"transitionEnd\": {\n\t\tcorrespondingCssProperty: \"transition\",\n\t\tmappings: {\n\t\t\ttransition: \"transitionend\",\n\t\t\tOTransition: \"oTransitionEnd\",\n\t\t\tMSTransition: \"msTransitionEnd\",\n\t\t\tMozTransition: \"transitionend\",\n\t\t\twebkitTransition: \"webkitTransitionEnd\"\n\t\t}\n\t},\n\t\"animationEnd\": {\n\t\tcorrespondingCssProperty: \"animation\",\n\t\tmappings: {\n\t\t\tanimation: \"animationend\",\n\t\t\tOAnimation: \"oAnimationEnd\",\n\t\t\tMSAnimation: \"msAnimationEnd\",\n\t\t\tMozAnimation: \"animationend\",\n\t\t\twebkitAnimation: \"webkitAnimationEnd\"\n\t\t}\n\t}\n};\n\nexports.convertEventName = function(eventName) {\n\tif(eventNameCache[eventName]) {\n\t\treturn eventNameCache[eventName];\n\t}\n\tvar newEventName = eventName,\n\t\tmappings = eventNameMappings[eventName];\n\tif(mappings) {\n\t\tvar convertedProperty = $tw.utils.convertStyleNameToPropertyName(mappings.correspondingCssProperty);\n\t\tif(mappings.mappings[convertedProperty]) {\n\t\t\tnewEventName = mappings.mappings[convertedProperty];\n\t\t}\n\t}\n\t// Put it in the cache too\n\teventNameCache[eventName] = newEventName;\n\treturn newEventName;\n};\n\n/*\nReturn the names of the fullscreen APIs\n*/\nexports.getFullScreenApis = function() {\n\tvar d = document,\n\t\tdb = d.body,\n\t\tresult = {\n\t\t\"_requestFullscreen\": db.webkitRequestFullscreen !== undefined ? \"webkitRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.mozRequestFullScreen !== undefined ? \"mozRequestFullScreen\" :\n\t\t\t\t\t\t\tdb.msRequestFullscreen !== undefined ? \"msRequestFullscreen\" :\n\t\t\t\t\t\t\tdb.requestFullscreen !== undefined ? \"requestFullscreen\" : \"\",\n\t\t\"_exitFullscreen\": d.webkitExitFullscreen !== undefined ? \"webkitExitFullscreen\" :\n\t\t\t\t\t\t\td.mozCancelFullScreen !== undefined ? \"mozCancelFullScreen\" :\n\t\t\t\t\t\t\td.msExitFullscreen !== undefined ? \"msExitFullscreen\" :\n\t\t\t\t\t\t\td.exitFullscreen !== undefined ? \"exitFullscreen\" : \"\",\n\t\t\"_fullscreenElement\": d.webkitFullscreenElement !== undefined ? \"webkitFullscreenElement\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozFullScreenElement\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"msFullscreenElement\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenElement\" : \"\",\n\t\t\"_fullscreenChange\": d.webkitFullscreenElement !== undefined ? \"webkitfullscreenchange\" :\n\t\t\t\t\t\t\td.mozFullScreenElement !== undefined ? \"mozfullscreenchange\" :\n\t\t\t\t\t\t\td.msFullscreenElement !== undefined ? \"MSFullscreenChange\" :\n\t\t\t\t\t\t\td.fullscreenElement !== undefined ? \"fullscreenchange\" : \"\"\n\t};\n\tif(!result._requestFullscreen || !result._exitFullscreen || !result._fullscreenElement || !result._fullscreenChange) {\n\t\treturn null;\n\t} else {\n\t\treturn result;\n\t}\n};\n\n})();\n",
"title": "$:/core/modules/utils/dom/browser.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/csscolorparser.js": {
"text": "// (c) Dean McNamee <dean@gmail.com>, 2012.\n//\n// https://github.com/deanm/css-color-parser-js\n//\n// Permission is hereby granted, free of charge, to any person obtaining a copy\n// of this software and associated documentation files (the \"Software\"), to\n// deal in the Software without restriction, including without limitation the\n// rights to use, copy, modify, merge, publish, distribute, sublicense, and/or\n// sell copies of the Software, and to permit persons to whom the Software is\n// furnished to do so, subject to the following conditions:\n//\n// The above copyright notice and this permission notice shall be included in\n// all copies or substantial portions of the Software.\n//\n// THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR\n// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,\n// FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE\n// AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER\n// LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING\n// FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS\n// IN THE SOFTWARE.\n\n// http://www.w3.org/TR/css3-color/\nvar kCSSColorTable = {\n \"transparent\": [0,0,0,0], \"aliceblue\": [240,248,255,1],\n \"antiquewhite\": [250,235,215,1], \"aqua\": [0,255,255,1],\n \"aquamarine\": [127,255,212,1], \"azure\": [240,255,255,1],\n \"beige\": [245,245,220,1], \"bisque\": [255,228,196,1],\n \"black\": [0,0,0,1], \"blanchedalmond\": [255,235,205,1],\n \"blue\": [0,0,255,1], \"blueviolet\": [138,43,226,1],\n \"brown\": [165,42,42,1], \"burlywood\": [222,184,135,1],\n \"cadetblue\": [95,158,160,1], \"chartreuse\": [127,255,0,1],\n \"chocolate\": [210,105,30,1], \"coral\": [255,127,80,1],\n \"cornflowerblue\": [100,149,237,1], \"cornsilk\": [255,248,220,1],\n \"crimson\": [220,20,60,1], \"cyan\": [0,255,255,1],\n \"darkblue\": [0,0,139,1], \"darkcyan\": [0,139,139,1],\n \"darkgoldenrod\": [184,134,11,1], \"darkgray\": [169,169,169,1],\n \"darkgreen\": [0,100,0,1], \"darkgrey\": [169,169,169,1],\n \"darkkhaki\": [189,183,107,1], \"darkmagenta\": [139,0,139,1],\n \"darkolivegreen\": [85,107,47,1], \"darkorange\": [255,140,0,1],\n \"darkorchid\": [153,50,204,1], \"darkred\": [139,0,0,1],\n \"darksalmon\": [233,150,122,1], \"darkseagreen\": [143,188,143,1],\n \"darkslateblue\": [72,61,139,1], \"darkslategray\": [47,79,79,1],\n \"darkslategrey\": [47,79,79,1], \"darkturquoise\": [0,206,209,1],\n \"darkviolet\": [148,0,211,1], \"deeppink\": [255,20,147,1],\n \"deepskyblue\": [0,191,255,1], \"dimgray\": [105,105,105,1],\n \"dimgrey\": [105,105,105,1], \"dodgerblue\": [30,144,255,1],\n \"firebrick\": [178,34,34,1], \"floralwhite\": [255,250,240,1],\n \"forestgreen\": [34,139,34,1], \"fuchsia\": [255,0,255,1],\n \"gainsboro\": [220,220,220,1], \"ghostwhite\": [248,248,255,1],\n \"gold\": [255,215,0,1], \"goldenrod\": [218,165,32,1],\n \"gray\": [128,128,128,1], \"green\": [0,128,0,1],\n \"greenyellow\": [173,255,47,1], \"grey\": [128,128,128,1],\n \"honeydew\": [240,255,240,1], \"hotpink\": [255,105,180,1],\n \"indianred\": [205,92,92,1], \"indigo\": [75,0,130,1],\n \"ivory\": [255,255,240,1], \"khaki\": [240,230,140,1],\n \"lavender\": [230,230,250,1], \"lavenderblush\": [255,240,245,1],\n \"lawngreen\": [124,252,0,1], \"lemonchiffon\": [255,250,205,1],\n \"lightblue\": [173,216,230,1], \"lightcoral\": [240,128,128,1],\n \"lightcyan\": [224,255,255,1], \"lightgoldenrodyellow\": [250,250,210,1],\n \"lightgray\": [211,211,211,1], \"lightgreen\": [144,238,144,1],\n \"lightgrey\": [211,211,211,1], \"lightpink\": [255,182,193,1],\n \"lightsalmon\": [255,160,122,1], \"lightseagreen\": [32,178,170,1],\n \"lightskyblue\": [135,206,250,1], \"lightslategray\": [119,136,153,1],\n \"lightslategrey\": [119,136,153,1], \"lightsteelblue\": [176,196,222,1],\n \"lightyellow\": [255,255,224,1], \"lime\": [0,255,0,1],\n \"limegreen\": [50,205,50,1], \"linen\": [250,240,230,1],\n \"magenta\": [255,0,255,1], \"maroon\": [128,0,0,1],\n \"mediumaquamarine\": [102,205,170,1], \"mediumblue\": [0,0,205,1],\n \"mediumorchid\": [186,85,211,1], \"mediumpurple\": [147,112,219,1],\n \"mediumseagreen\": [60,179,113,1], \"mediumslateblue\": [123,104,238,1],\n \"mediumspringgreen\": [0,250,154,1], \"mediumturquoise\": [72,209,204,1],\n \"mediumvioletred\": [199,21,133,1], \"midnightblue\": [25,25,112,1],\n \"mintcream\": [245,255,250,1], \"mistyrose\": [255,228,225,1],\n \"moccasin\": [255,228,181,1], \"navajowhite\": [255,222,173,1],\n \"navy\": [0,0,128,1], \"oldlace\": [253,245,230,1],\n \"olive\": [128,128,0,1], \"olivedrab\": [107,142,35,1],\n \"orange\": [255,165,0,1], \"orangered\": [255,69,0,1],\n \"orchid\": [218,112,214,1], \"palegoldenrod\": [238,232,170,1],\n \"palegreen\": [152,251,152,1], \"paleturquoise\": [175,238,238,1],\n \"palevioletred\": [219,112,147,1], \"papayawhip\": [255,239,213,1],\n \"peachpuff\": [255,218,185,1], \"peru\": [205,133,63,1],\n \"pink\": [255,192,203,1], \"plum\": [221,160,221,1],\n \"powderblue\": [176,224,230,1], \"purple\": [128,0,128,1],\n \"red\": [255,0,0,1], \"rosybrown\": [188,143,143,1],\n \"royalblue\": [65,105,225,1], \"saddlebrown\": [139,69,19,1],\n \"salmon\": [250,128,114,1], \"sandybrown\": [244,164,96,1],\n \"seagreen\": [46,139,87,1], \"seashell\": [255,245,238,1],\n \"sienna\": [160,82,45,1], \"silver\": [192,192,192,1],\n \"skyblue\": [135,206,235,1], \"slateblue\": [106,90,205,1],\n \"slategray\": [112,128,144,1], \"slategrey\": [112,128,144,1],\n \"snow\": [255,250,250,1], \"springgreen\": [0,255,127,1],\n \"steelblue\": [70,130,180,1], \"tan\": [210,180,140,1],\n \"teal\": [0,128,128,1], \"thistle\": [216,191,216,1],\n \"tomato\": [255,99,71,1], \"turquoise\": [64,224,208,1],\n \"violet\": [238,130,238,1], \"wheat\": [245,222,179,1],\n \"white\": [255,255,255,1], \"whitesmoke\": [245,245,245,1],\n \"yellow\": [255,255,0,1], \"yellowgreen\": [154,205,50,1]}\n\nfunction clamp_css_byte(i) { // Clamp to integer 0 .. 255.\n i = Math.round(i); // Seems to be what Chrome does (vs truncation).\n return i < 0 ? 0 : i > 255 ? 255 : i;\n}\n\nfunction clamp_css_float(f) { // Clamp to float 0.0 .. 1.0.\n return f < 0 ? 0 : f > 1 ? 1 : f;\n}\n\nfunction parse_css_int(str) { // int or percentage.\n if (str[str.length - 1] === '%')\n return clamp_css_byte(parseFloat(str) / 100 * 255);\n return clamp_css_byte(parseInt(str));\n}\n\nfunction parse_css_float(str) { // float or percentage.\n if (str[str.length - 1] === '%')\n return clamp_css_float(parseFloat(str) / 100);\n return clamp_css_float(parseFloat(str));\n}\n\nfunction css_hue_to_rgb(m1, m2, h) {\n if (h < 0) h += 1;\n else if (h > 1) h -= 1;\n\n if (h * 6 < 1) return m1 + (m2 - m1) * h * 6;\n if (h * 2 < 1) return m2;\n if (h * 3 < 2) return m1 + (m2 - m1) * (2/3 - h) * 6;\n return m1;\n}\n\nfunction parseCSSColor(css_str) {\n // Remove all whitespace, not compliant, but should just be more accepting.\n var str = css_str.replace(/ /g, '').toLowerCase();\n\n // Color keywords (and transparent) lookup.\n if (str in kCSSColorTable) return kCSSColorTable[str].slice(); // dup.\n\n // #abc and #abc123 syntax.\n if (str[0] === '#') {\n if (str.length === 4) {\n var iv = parseInt(str.substr(1), 16); // TODO(deanm): Stricter parsing.\n if (!(iv >= 0 && iv <= 0xfff)) return null; // Covers NaN.\n return [((iv & 0xf00) >> 4) | ((iv & 0xf00) >> 8),\n (iv & 0xf0) | ((iv & 0xf0) >> 4),\n (iv & 0xf) | ((iv & 0xf) << 4),\n 1];\n } else if (str.length === 7) {\n var iv = parseInt(str.substr(1), 16); // TODO(deanm): Stricter parsing.\n if (!(iv >= 0 && iv <= 0xffffff)) return null; // Covers NaN.\n return [(iv & 0xff0000) >> 16,\n (iv & 0xff00) >> 8,\n iv & 0xff,\n 1];\n }\n\n return null;\n }\n\n var op = str.indexOf('('), ep = str.indexOf(')');\n if (op !== -1 && ep + 1 === str.length) {\n var fname = str.substr(0, op);\n var params = str.substr(op+1, ep-(op+1)).split(',');\n var alpha = 1; // To allow case fallthrough.\n switch (fname) {\n case 'rgba':\n if (params.length !== 4) return null;\n alpha = parse_css_float(params.pop());\n // Fall through.\n case 'rgb':\n if (params.length !== 3) return null;\n return [parse_css_int(params[0]),\n parse_css_int(params[1]),\n parse_css_int(params[2]),\n alpha];\n case 'hsla':\n if (params.length !== 4) return null;\n alpha = parse_css_float(params.pop());\n // Fall through.\n case 'hsl':\n if (params.length !== 3) return null;\n var h = (((parseFloat(params[0]) % 360) + 360) % 360) / 360; // 0 .. 1\n // NOTE(deanm): According to the CSS spec s/l should only be\n // percentages, but we don't bother and let float or percentage.\n var s = parse_css_float(params[1]);\n var l = parse_css_float(params[2]);\n var m2 = l <= 0.5 ? l * (s + 1) : l + s - l * s;\n var m1 = l * 2 - m2;\n return [clamp_css_byte(css_hue_to_rgb(m1, m2, h+1/3) * 255),\n clamp_css_byte(css_hue_to_rgb(m1, m2, h) * 255),\n clamp_css_byte(css_hue_to_rgb(m1, m2, h-1/3) * 255),\n alpha];\n default:\n return null;\n }\n }\n\n return null;\n}\n\ntry { exports.parseCSSColor = parseCSSColor } catch(e) { }\n",
"title": "$:/core/modules/utils/dom/csscolorparser.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/dom.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static DOM-related utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDetermines whether element 'a' contains element 'b'\nCode thanks to John Resig, http://ejohn.org/blog/comparing-document-position/\n*/\nexports.domContains = function(a,b) {\n\treturn a.contains ?\n\t\ta !== b && a.contains(b) :\n\t\t!!(a.compareDocumentPosition(b) & 16);\n};\n\nexports.removeChildren = function(node) {\n\twhile(node.hasChildNodes()) {\n\t\tnode.removeChild(node.firstChild);\n\t}\n};\n\nexports.hasClass = function(el,className) {\n\treturn el && el.className && el.className.toString().split(\" \").indexOf(className) !== -1;\n};\n\nexports.addClass = function(el,className) {\n\tvar c = el.className.split(\" \");\n\tif(c.indexOf(className) === -1) {\n\t\tc.push(className);\n\t}\n\tel.className = c.join(\" \");\n};\n\nexports.removeClass = function(el,className) {\n\tvar c = el.className.split(\" \"),\n\t\tp = c.indexOf(className);\n\tif(p !== -1) {\n\t\tc.splice(p,1);\n\t\tel.className = c.join(\" \");\n\t}\n};\n\nexports.toggleClass = function(el,className,status) {\n\tif(status === undefined) {\n\t\tstatus = !exports.hasClass(el,className);\n\t}\n\tif(status) {\n\t\texports.addClass(el,className);\n\t} else {\n\t\texports.removeClass(el,className);\n\t}\n};\n\n/*\nGet the scroll position of the viewport\nReturns:\n\t{\n\t\tx: horizontal scroll position in pixels,\n\t\ty: vertical scroll position in pixels\n\t}\n*/\nexports.getScrollPosition = function() {\n\tif(\"scrollX\" in window) {\n\t\treturn {x: window.scrollX, y: window.scrollY};\n\t} else {\n\t\treturn {x: document.documentElement.scrollLeft, y: document.documentElement.scrollTop};\n\t}\n};\n\n/*\nGets the bounding rectangle of an element in absolute page coordinates\n*/\nexports.getBoundingPageRect = function(element) {\n\tvar scrollPos = $tw.utils.getScrollPosition(),\n\t\tclientRect = element.getBoundingClientRect();\n\treturn {\n\t\tleft: clientRect.left + scrollPos.x,\n\t\twidth: clientRect.width,\n\t\tright: clientRect.right + scrollPos.x,\n\t\ttop: clientRect.top + scrollPos.y,\n\t\theight: clientRect.height,\n\t\tbottom: clientRect.bottom + scrollPos.y\n\t};\n};\n\n/*\nSaves a named password in the browser\n*/\nexports.savePassword = function(name,password) {\n\ttry {\n\t\tif(window.localStorage) {\n\t\t\tlocalStorage.setItem(\"tw5-password-\" + name,password);\n\t\t}\n\t} catch(e) {\n\t}\n};\n\n/*\nRetrieve a named password from the browser\n*/\nexports.getPassword = function(name) {\n\ttry {\n\t\treturn window.localStorage ? localStorage.getItem(\"tw5-password-\" + name) : \"\";\n\t} catch(e) {\n\t\treturn \"\";\n\t}\n};\n\n/*\nForce layout of a dom node and its descendents\n*/\nexports.forceLayout = function(element) {\n\tvar dummy = element.offsetWidth;\n};\n\n/*\nPulse an element for debugging purposes\n*/\nexports.pulseElement = function(element) {\n\t// Event handler to remove the class at the end\n\telement.addEventListener($tw.browser.animationEnd,function handler(event) {\n\t\telement.removeEventListener($tw.browser.animationEnd,handler,false);\n\t\t$tw.utils.removeClass(element,\"pulse\");\n\t},false);\n\t// Apply the pulse class\n\t$tw.utils.removeClass(element,\"pulse\");\n\t$tw.utils.forceLayout(element);\n\t$tw.utils.addClass(element,\"pulse\");\n};\n\n/*\nAttach specified event handlers to a DOM node\ndomNode: where to attach the event handlers\nevents: array of event handlers to be added (see below)\nEach entry in the events array is an object with these properties:\nhandlerFunction: optional event handler function\nhandlerObject: optional event handler object\nhandlerMethod: optionally specifies object handler method name (defaults to `handleEvent`)\n*/\nexports.addEventListeners = function(domNode,events) {\n\t$tw.utils.each(events,function(eventInfo) {\n\t\tvar handler;\n\t\tif(eventInfo.handlerFunction) {\n\t\t\thandler = eventInfo.handlerFunction;\n\t\t} else if(eventInfo.handlerObject) {\n\t\t\tif(eventInfo.handlerMethod) {\n\t\t\t\thandler = function(event) {\n\t\t\t\t\teventInfo.handlerObject[eventInfo.handlerMethod].call(eventInfo.handlerObject,event);\n\t\t\t\t};\t\n\t\t\t} else {\n\t\t\t\thandler = eventInfo.handlerObject;\n\t\t\t}\n\t\t}\n\t\tdomNode.addEventListener(eventInfo.name,handler,false);\n\t});\n};\n\n\n})();\n",
"title": "$:/core/modules/utils/dom.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/http.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/dom/http.js\ntype: application/javascript\nmodule-type: utils\n\nBrowser HTTP support\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nA quick and dirty HTTP function; to be refactored later. Options are:\n\turl: URL to retrieve\n\ttype: GET, PUT, POST etc\n\tcallback: function invoked with (err,data)\n*/\nexports.httpRequest = function(options) {\n\tvar type = options.type || \"GET\",\n\t\theaders = options.headers || {accept: \"application/json\"},\n\t\trequest = new XMLHttpRequest(),\n\t\tdata = \"\",\n\t\tf,results;\n\t// Massage the data hashmap into a string\n\tif(options.data) {\n\t\tif(typeof options.data === \"string\") { // Already a string\n\t\t\tdata = options.data;\n\t\t} else { // A hashmap of strings\n\t\t\tresults = [];\n\t\t\t$tw.utils.each(options.data,function(dataItem,dataItemTitle) {\n\t\t\t\tresults.push(dataItemTitle + \"=\" + encodeURIComponent(dataItem));\n\t\t\t});\n\t\t\tdata = results.join(\"&\");\n\t\t}\n\t}\n\t// Set up the state change handler\n\trequest.onreadystatechange = function() {\n\t\tif(this.readyState === 4) {\n\t\t\tif(this.status === 200 || this.status === 201 || this.status === 204) {\n\t\t\t\t// Success!\n\t\t\t\toptions.callback(null,this.responseText,this);\n\t\t\t\treturn;\n\t\t\t}\n\t\t// Something went wrong\n\t\toptions.callback(\"XMLHttpRequest error code: \" + this.status);\n\t\t}\n\t};\n\t// Make the request\n\trequest.open(type,options.url,true);\n\tif(headers) {\n\t\t$tw.utils.each(headers,function(header,headerTitle,object) {\n\t\t\trequest.setRequestHeader(headerTitle,header);\n\t\t});\n\t}\n\tif(data && !$tw.utils.hop(headers,\"Content-type\")) {\n\t\trequest.setRequestHeader(\"Content-type\",\"application/x-www-form-urlencoded; charset=UTF-8\");\n\t}\n\ttry {\n\t\trequest.send(data);\n\t} catch(e) {\n\t\toptions.callback(e);\n\t}\n\treturn request;\n};\n\n})();\n",
"title": "$:/core/modules/utils/dom/http.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/keyboard.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/dom/keyboard.js\ntype: application/javascript\nmodule-type: utils\n\nKeyboard utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar namedKeys = {\n\t\"backspace\": 8,\n\t\"tab\": 9,\n\t\"enter\": 13,\n\t\"escape\": 27\n};\n\n/*\nParses a key descriptor into the structure:\n{\n\tkeyCode: numeric keycode\n\tshiftKey: boolean\n\taltKey: boolean\n\tctrlKey: boolean\n}\nKey descriptors have the following format:\n\tctrl+enter\n\tctrl+shift+alt+A\n*/\nexports.parseKeyDescriptor = function(keyDescriptor) {\n\tvar components = keyDescriptor.split(\"+\"),\n\t\tinfo = {\n\t\t\tkeyCode: 0,\n\t\t\tshiftKey: false,\n\t\t\taltKey: false,\n\t\t\tctrlKey: false\n\t\t};\n\tfor(var t=0; t<components.length; t++) {\n\t\tvar s = components[t].toLowerCase();\n\t\t// Look for modifier keys\n\t\tif(s === \"ctrl\") {\n\t\t\tinfo.ctrlKey = true;\n\t\t} else if(s === \"shift\") {\n\t\t\tinfo.shiftKey = true;\n\t\t} else if(s === \"alt\") {\n\t\t\tinfo.altKey = true;\n\t\t} else if(s === \"meta\") {\n\t\t\tinfo.metaKey = true;\n\t\t}\n\t\t// Replace named keys with their code\n\t\tif(namedKeys[s]) {\n\t\t\tinfo.keyCode = namedKeys[s];\n\t\t}\n\t}\n\treturn info;\n};\n\nexports.checkKeyDescriptor = function(event,keyInfo) {\n\tvar metaKeyStatus = !!keyInfo.metaKey; // Using a temporary variable to keep JSHint happy\n\treturn event.keyCode === keyInfo.keyCode && \n\t\t\tevent.shiftKey === keyInfo.shiftKey && \n\t\t\tevent.altKey === keyInfo.altKey && \n\t\t\tevent.ctrlKey === keyInfo.ctrlKey && \n\t\t\tevent.metaKey === metaKeyStatus;\t\n};\n\n})();\n",
"title": "$:/core/modules/utils/dom/keyboard.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/modal.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/dom/modal.js\ntype: application/javascript\nmodule-type: utils\n\nModal message mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Modal = function(wiki) {\n\tthis.wiki = wiki;\n\tthis.modalCount = 0;\n};\n\n/*\nDisplay a modal dialogue\n\ttitle: Title of tiddler to display\n\toptions: see below\nOptions include:\n\tdownloadLink: Text of a big download link to include\n*/\nModal.prototype.display = function(title,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\trefreshHandler,\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\ttiddler = this.wiki.getTiddler(title);\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Create the wrapper divs\n\tvar wrapper = document.createElement(\"div\"),\n\t\tmodalBackdrop = document.createElement(\"div\"),\n\t\tmodalWrapper = document.createElement(\"div\"),\n\t\tmodalHeader = document.createElement(\"div\"),\n\t\theaderTitle = document.createElement(\"h3\"),\n\t\tmodalBody = document.createElement(\"div\"),\n\t\tmodalLink = document.createElement(\"a\"),\n\t\tmodalFooter = document.createElement(\"div\"),\n\t\tmodalFooterHelp = document.createElement(\"span\"),\n\t\tmodalFooterButtons = document.createElement(\"span\");\n\t// Up the modal count and adjust the body class\n\tthis.modalCount++;\n\tthis.adjustPageClass();\n\t// Add classes\n\t$tw.utils.addClass(wrapper,\"tc-modal-wrapper\");\n\t$tw.utils.addClass(modalBackdrop,\"tc-modal-backdrop\");\n\t$tw.utils.addClass(modalWrapper,\"tc-modal\");\n\t$tw.utils.addClass(modalHeader,\"tc-modal-header\");\n\t$tw.utils.addClass(modalBody,\"tc-modal-body\");\n\t$tw.utils.addClass(modalFooter,\"tc-modal-footer\");\n\t// Join them together\n\twrapper.appendChild(modalBackdrop);\n\twrapper.appendChild(modalWrapper);\n\tmodalHeader.appendChild(headerTitle);\n\tmodalWrapper.appendChild(modalHeader);\n\tmodalWrapper.appendChild(modalBody);\n\tmodalFooter.appendChild(modalFooterHelp);\n\tmodalFooter.appendChild(modalFooterButtons);\n\tmodalWrapper.appendChild(modalFooter);\n\t// Render the title of the message\n\tvar headerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"subtitle\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"text\",\n\t\t\tattributes: {\n\t\t\t\ttext: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: title\n\t\t}}}],\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables\n\t});\n\theaderWidgetNode.render(headerTitle,null);\n\t// Render the body of the message\n\tvar bodyWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables\n\t});\n\tbodyWidgetNode.render(modalBody,null);\n\t// Setup the link if present\n\tif(options.downloadLink) {\n\t\tmodalLink.href = options.downloadLink;\n\t\tmodalLink.appendChild(document.createTextNode(\"Right-click to save changes\"));\n\t\tmodalBody.appendChild(modalLink);\n\t}\n\t// Render the footer of the message\n\tif(tiddler && tiddler.fields && tiddler.fields.help) {\n\t\tvar link = document.createElement(\"a\");\n\t\tlink.setAttribute(\"href\",tiddler.fields.help);\n\t\tlink.setAttribute(\"target\",\"_blank\");\n\t\tlink.appendChild(document.createTextNode(\"Help\"));\n\t\tmodalFooterHelp.appendChild(link);\n\t\tmodalFooterHelp.style.float = \"left\";\n\t}\n\tvar footerWidgetNode = this.wiki.makeTranscludeWidget(title,{\n\t\tfield: \"footer\",\n\t\tmode: \"inline\",\n\t\tchildren: [{\n\t\t\ttype: \"button\",\n\t\t\tattributes: {\n\t\t\t\tmessage: {\n\t\t\t\t\ttype: \"string\",\n\t\t\t\t\tvalue: \"tm-close-tiddler\"\n\t\t\t\t}\n\t\t\t},\n\t\t\tchildren: [{\n\t\t\t\ttype: \"text\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttext: {\n\t\t\t\t\t\ttype: \"string\",\n\t\t\t\t\t\tvalue: \"Close\"\n\t\t\t}}}\n\t\t]}],\n\t\tparentWidget: $tw.rootWidget,\n\t\tdocument: document,\n\t\tvariables: variables\n\t});\n\tfooterWidgetNode.render(modalFooterButtons,null);\n\t// Set up the refresh handler\n\trefreshHandler = function(changes) {\n\t\theaderWidgetNode.refresh(changes,modalHeader,null);\n\t\tbodyWidgetNode.refresh(changes,modalBody,null);\n\t\tfooterWidgetNode.refresh(changes,modalFooterButtons,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Add the close event handler\n\tvar closeHandler = function(event) {\n\t\t// Remove our refresh handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Decrease the modal count and adjust the body class\n\t\tself.modalCount--;\n\t\tself.adjustPageClass();\n\t\t// Force layout and animate the modal message away\n\t\t$tw.utils.forceLayout(modalBackdrop);\n\t\t$tw.utils.forceLayout(modalWrapper);\n\t\t$tw.utils.setStyle(modalBackdrop,[\n\t\t\t{opacity: \"0\"}\n\t\t]);\n\t\t$tw.utils.setStyle(modalWrapper,[\n\t\t\t{transform: \"translateY(\" + window.innerHeight + \"px)\"}\n\t\t]);\n\t\t// Set up an event for the transition end\n\t\twindow.setTimeout(function() {\n\t\t\tif(wrapper.parentNode) {\n\t\t\t\t// Remove the modal message from the DOM\n\t\t\t\tdocument.body.removeChild(wrapper);\n\t\t\t}\n\t\t},duration);\n\t\t// Don't let anyone else handle the tm-close-tiddler message\n\t\treturn false;\n\t};\n\theaderWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tbodyWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\tfooterWidgetNode.addEventListener(\"tm-close-tiddler\",closeHandler,false);\n\t// Set the initial styles for the message\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-window.innerHeight) + \"px)\"}\n\t]);\n\t// Put the message into the document\n\tdocument.body.appendChild(wrapper);\n\t// Set up animation for the styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{transition: \"opacity \" + duration + \"ms ease-out\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transition: $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Force layout\n\t$tw.utils.forceLayout(modalBackdrop);\n\t$tw.utils.forceLayout(modalWrapper);\n\t// Set final animated styles\n\t$tw.utils.setStyle(modalBackdrop,[\n\t\t{opacity: \"0.7\"}\n\t]);\n\t$tw.utils.setStyle(modalWrapper,[\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n};\n\nModal.prototype.adjustPageClass = function() {\n\tif($tw.pageContainer) {\n\t\t$tw.utils.toggleClass($tw.pageContainer,\"tc-modal-displayed\",this.modalCount > 0);\n\t}\n};\n\nexports.Modal = Modal;\n\n})();\n",
"title": "$:/core/modules/utils/dom/modal.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/notifier.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/dom/notifier.js\ntype: application/javascript\nmodule-type: utils\n\nNotifier mechanism\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar Notifier = function(wiki) {\n\tthis.wiki = wiki;\n};\n\n/*\nDisplay a notification\n\ttitle: Title of tiddler containing the notification text\n\toptions: see below\nOptions include:\n*/\nNotifier.prototype.display = function(title,options) {\n\toptions = options || {};\n\t// Create the wrapper divs\n\tvar self = this,\n\t\tnotification = document.createElement(\"div\"),\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tduration = $tw.utils.getAnimationDuration(),\n\t\trefreshHandler;\n\t// Don't do anything if the tiddler doesn't exist\n\tif(!tiddler) {\n\t\treturn;\n\t}\n\t// Add classes\n\t$tw.utils.addClass(notification,\"tc-notification\");\n\t// Create the variables\n\tvar variables = $tw.utils.extend({currentTiddler: title},options.variables);\n\t// Render the body of the notification\n\tvar widgetNode = this.wiki.makeTranscludeWidget(title,{parentWidget: $tw.rootWidget, document: document, variables: variables});\n\twidgetNode.render(notification,null);\n\trefreshHandler = function(changes) {\n\t\twidgetNode.refresh(changes,notification,null);\n\t};\n\tthis.wiki.addEventListener(\"change\",refreshHandler);\n\t// Set the initial styles for the notification\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"0\"},\n\t\t{transformOrigin: \"0% 0%\"},\n\t\t{transform: \"translateY(\" + (-window.innerHeight) + \"px)\"},\n\t\t{transition: \"opacity \" + duration + \"ms ease-out, \" + $tw.utils.roundTripPropertyName(\"transform\") + \" \" + duration + \"ms ease-in-out\"}\n\t]);\n\t// Add the notification to the DOM\n\tdocument.body.appendChild(notification);\n\t// Force layout\n\t$tw.utils.forceLayout(notification);\n\t// Set final animated styles\n\t$tw.utils.setStyle(notification,[\n\t\t{opacity: \"1.0\"},\n\t\t{transform: \"translateY(0px)\"}\n\t]);\n\t// Set a timer to remove the notification\n\twindow.setTimeout(function() {\n\t\t// Remove our change event handler\n\t\tself.wiki.removeEventListener(\"change\",refreshHandler);\n\t\t// Force layout and animate the notification away\n\t\t$tw.utils.forceLayout(notification);\n\t\t$tw.utils.setStyle(notification,[\n\t\t\t{opacity: \"0.0\"},\n\t\t\t{transform: \"translateX(\" + (notification.offsetWidth) + \"px)\"}\n\t\t]);\n\t\t// Remove the modal message from the DOM once the transition ends\n\t\tsetTimeout(function() {\n\t\t\tif(notification.parentNode) {\n\t\t\t\tdocument.body.removeChild(notification);\n\t\t\t}\n\t\t},duration);\n\t},$tw.config.preferences.notificationDuration);\n};\n\nexports.Notifier = Notifier;\n\n})();\n",
"title": "$:/core/modules/utils/dom/notifier.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/popup.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/dom/popup.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Popup object prototype that manages popups in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreates a Popup object with these options:\n\trootElement: the DOM element to which the popup zapper should be attached\n*/\nvar Popup = function(options) {\n\toptions = options || {};\n\tthis.rootElement = options.rootElement || document.documentElement;\n\tthis.popups = []; // Array of {title:,wiki:,domNode:} objects\n};\n\n/*\nTrigger a popup open or closed. Parameters are in a hashmap:\n\ttitle: title of the tiddler where the popup details are stored\n\tdomNode: dom node to which the popup will be positioned\n\twiki: wiki\n\tforce: if specified, forces the popup state to true or false (instead of toggling it)\n*/\nPopup.prototype.triggerPopup = function(options) {\n\t// Check if this popup is already active\n\tvar index = this.findPopup(options.title);\n\t// Compute the new state\n\tvar state = index === -1;\n\tif(options.force !== undefined) {\n\t\tstate = options.force;\n\t}\n\t// Show or cancel the popup according to the new state\n\tif(state) {\n\t\tthis.show(options);\n\t} else {\n\t\tthis.cancel(index);\n\t}\n};\n\nPopup.prototype.findPopup = function(title) {\n\tvar index = -1;\n\tfor(var t=0; t<this.popups.length; t++) {\n\t\tif(this.popups[t].title === title) {\n\t\t\tindex = t;\n\t\t}\n\t}\n\treturn index;\n};\n\nPopup.prototype.handleEvent = function(event) {\n\tif(event.type === \"click\") {\n\t\t// Find out what was clicked on\n\t\tvar info = this.popupInfo(event.target),\n\t\t\tcancelLevel = info.popupLevel - 1;\n\t\t// Don't remove the level that was clicked on if we clicked on a handle\n\t\tif(info.isHandle) {\n\t\t\tcancelLevel++;\n\t\t}\n\t\t// Cancel\n\t\tthis.cancel(cancelLevel);\n\t}\n};\n\n/*\nFind the popup level containing a DOM node. Returns:\npopupLevel: count of the number of nested popups containing the specified element\nisHandle: true if the specified element is within a popup handle\n*/\nPopup.prototype.popupInfo = function(domNode) {\n\tvar isHandle = false,\n\t\tpopupCount = 0,\n\t\tnode = domNode;\n\t// First check ancestors to see if we're within a popup handle\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup-handle\")) {\n\t\t\tisHandle = true;\n\t\t\tpopupCount++;\n\t\t}\n\t\tif($tw.utils.hasClass(node,\"tc-popup-keep\")) {\n\t\t\tisHandle = true;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\t// Then count the number of ancestor popups\n\tnode = domNode;\n\twhile(node) {\n\t\tif($tw.utils.hasClass(node,\"tc-popup\")) {\n\t\t\tpopupCount++;\n\t\t}\n\t\tnode = node.parentNode;\n\t}\n\tvar info = {\n\t\tpopupLevel: popupCount,\n\t\tisHandle: isHandle\n\t};\n\treturn info;\n};\n\n/*\nDisplay a popup by adding it to the stack\n*/\nPopup.prototype.show = function(options) {\n\t// Find out what was clicked on\n\tvar info = this.popupInfo(options.domNode);\n\t// Cancel any higher level popups\n\tthis.cancel(info.popupLevel);\n\t// Store the popup details if not already there\n\tif(this.findPopup(options.title) === -1) {\n\t\tthis.popups.push({\n\t\t\ttitle: options.title,\n\t\t\twiki: options.wiki,\n\t\t\tdomNode: options.domNode\n\t\t});\n\t}\n\t// Set the state tiddler\n\toptions.wiki.setTextReference(options.title,\n\t\t\t\"(\" + options.domNode.offsetLeft + \",\" + options.domNode.offsetTop + \",\" + \n\t\t\t\toptions.domNode.offsetWidth + \",\" + options.domNode.offsetHeight + \")\");\n\t// Add the click handler if we have any popups\n\tif(this.popups.length > 0) {\n\t\tthis.rootElement.addEventListener(\"click\",this,true);\t\t\n\t}\n};\n\n/*\nCancel all popups at or above a specified level or DOM node\nlevel: popup level to cancel (0 cancels all popups)\n*/\nPopup.prototype.cancel = function(level) {\n\tvar numPopups = this.popups.length;\n\tlevel = Math.max(0,Math.min(level,numPopups));\n\tfor(var t=level; t<numPopups; t++) {\n\t\tvar popup = this.popups.pop();\n\t\tif(popup.title) {\n\t\t\tpopup.wiki.deleteTiddler(popup.title);\n\t\t}\n\t}\n\tif(this.popups.length === 0) {\n\t\tthis.rootElement.removeEventListener(\"click\",this,false);\n\t}\n};\n\n/*\nReturns true if the specified title and text identifies an active popup\n*/\nPopup.prototype.readPopupState = function(text) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/;\n\treturn popupLocationRegExp.test(text);\n};\n\nexports.Popup = Popup;\n\n})();\n",
"title": "$:/core/modules/utils/dom/popup.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/dom/scroller.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/dom/scroller.js\ntype: application/javascript\nmodule-type: utils\n\nModule that creates a $tw.utils.Scroller object prototype that manages scrolling in the browser\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nEvent handler for when the `tm-scroll` event hits the document body\n*/\nvar PageScroller = function() {\n\tthis.idRequestFrame = null;\n\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\twindow.webkitRequestAnimationFrame ||\n\t\twindow.mozRequestAnimationFrame ||\n\t\tfunction(callback) {\n\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t};\n\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\twindow.webkitCancelAnimationFrame ||\n\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\twindow.mozCancelAnimationFrame ||\n\t\twindow.mozCancelRequestAnimationFrame ||\n\t\tfunction(id) {\n\t\t\twindow.clearTimeout(id);\n\t\t};\n};\n\nPageScroller.prototype.cancelScroll = function() {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(window,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle an event\n*/\nPageScroller.prototype.handleEvent = function(event) {\n\tif(event.type === \"tm-scroll\") {\n\t\treturn this.scrollIntoView(event.target);\n\t}\n\treturn true;\n};\n\n/*\nHandle a scroll event hitting the page document\n*/\nPageScroller.prototype.scrollIntoView = function(element) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\t// Now get ready to scroll the body\n\tthis.cancelScroll();\n\tthis.startTime = Date.now();\n\tvar scrollPosition = $tw.utils.getScrollPosition();\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar clientBounds = element.getBoundingClientRect(),\n\t\tbounds = {\n\t\t\tleft: clientBounds.left + scrollPosition.x,\n\t\t\ttop: clientBounds.top + scrollPosition.y,\n\t\t\twidth: clientBounds.width,\n\t\t\theight: clientBounds.height\n\t\t};\n\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\t// targetPos/targetSize - position and size of the target element\n\t// currentPos/currentSize - position and size of the current scroll viewport\n\t// returns: new position of the scroll viewport\n\tvar getEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\tvar newPos = currentPos;\n\t\t\t// If the target is above/left of the current view, then scroll to it's top/left\n\t\t\tif(targetPos <= currentPos) {\n\t\t\t\tnewPos = targetPos;\n\t\t\t// If the target is smaller than the window and the scroll position is too far up, then scroll till the target is at the bottom of the window\n\t\t\t} else if(targetSize < currentSize && currentPos < (targetPos + targetSize - currentSize)) {\n\t\t\t\tnewPos = targetPos + targetSize - currentSize;\n\t\t\t// If the target is big, then just scroll to the top\n\t\t\t} else if(currentPos < targetPos) {\n\t\t\t\tnewPos = targetPos;\n\t\t\t// Otherwise, stay where we are\n\t\t\t} else {\n\t\t\t\tnewPos = currentPos;\n\t\t\t}\n\t\t\t// If we are scrolling within 50 pixels of the top/left then snap to zero\n\t\t\tif(newPos < 50) {\n\t\t\t\tnewPos = 0;\n\t\t\t}\n\t\t\treturn newPos;\n\t\t},\n\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,window.innerWidth),\n\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,window.innerHeight);\n\t// Only scroll if the position has changed\n\tif(endX !== scrollPosition.x || endY !== scrollPosition.y) {\n\t\tvar self = this,\n\t\t\tdrawFrame;\n\t\tdrawFrame = function () {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll();\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\twindow.scrollTo(scrollPosition.x + (endX - scrollPosition.x) * t,scrollPosition.y + (endY - scrollPosition.y) * t);\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(window,drawFrame);\n\t\t\t}\n\t\t};\n\t\tdrawFrame();\n\t}\n};\n\nexports.PageScroller = PageScroller;\n\n})();\n",
"title": "$:/core/modules/utils/dom/scroller.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/edition-info.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/edition-info.js\ntype: application/javascript\nmodule-type: utils-node\n\nInformation about the available editions\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\nvar editionInfo;\n\nexports.getEditionInfo = function() {\n\tif(!editionInfo) {\n\t\t// Enumerate the edition paths\n\t\tvar editionPaths = $tw.getLibraryItemSearchPaths($tw.config.editionsPath,$tw.config.editionsEnvVar);\n\t\teditionInfo = {};\n\t\tfor(var editionIndex=0; editionIndex<editionPaths.length; editionIndex++) {\n\t\t\tvar editionPath = editionPaths[editionIndex];\n\t\t\t// Enumerate the folders\n\t\t\tvar entries = fs.readdirSync(editionPath);\n\t\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\t\tvar entry = entries[entryIndex];\n\t\t\t\t// Check if directories have a valid tiddlywiki.info\n\t\t\t\tif(!editionInfo[entry] && $tw.utils.isDirectory(path.resolve(editionPath,entry))) {\n\t\t\t\t\tvar info;\n\t\t\t\t\ttry {\n\t\t\t\t\t\tinfo = JSON.parse(fs.readFileSync(path.resolve(editionPath,entry,\"tiddlywiki.info\"),\"utf8\"));\n\t\t\t\t\t} catch(ex) {\n\t\t\t\t\t}\n\t\t\t\t\tif(info) {\n\t\t\t\t\t\teditionInfo[entry] = info;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}\n\treturn editionInfo;\n};\n\n})();\n",
"title": "$:/core/modules/utils/edition-info.js",
"type": "application/javascript",
"module-type": "utils-node"
},
"$:/core/modules/utils/fakedom.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/fakedom.js\ntype: application/javascript\nmodule-type: global\n\nA barebones implementation of DOM interfaces needed by the rendering mechanism.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Sequence number used to enable us to track objects for testing\nvar sequenceNumber = null;\n\nvar bumpSequenceNumber = function(object) {\n\tif(sequenceNumber !== null) {\n\t\tobject.sequenceNumber = sequenceNumber++;\n\t}\n};\n\nvar TW_TextNode = function(text) {\n\tbumpSequenceNumber(this);\n\tthis.textContent = text;\n};\n\nObject.defineProperty(TW_TextNode.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn 3;\n\t}\n});\n\nObject.defineProperty(TW_TextNode.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\treturn this.textContent.replace(/(\\r?\\n)/g,\"\");\n\t}\n});\n\nvar TW_Element = function(tag,namespace) {\n\tbumpSequenceNumber(this);\n\tthis.isTiddlyWikiFakeDom = true;\n\tthis.tag = tag;\n\tthis.attributes = {};\n\tthis.isRaw = false;\n\tthis.children = [];\n\tthis.style = {};\n\tthis.namespaceURI = namespace || \"http://www.w3.org/1999/xhtml\";\n};\n\nObject.defineProperty(TW_Element.prototype, \"nodeType\", {\n\tget: function() {\n\t\treturn 1;\n\t}\n});\n\nTW_Element.prototype.getAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot getAttribute on a raw TW_Element\";\n\t}\n\treturn this.attributes[name];\n};\n\nTW_Element.prototype.setAttribute = function(name,value) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot setAttribute on a raw TW_Element\";\n\t}\n\tthis.attributes[name] = value;\n};\n\nTW_Element.prototype.setAttributeNS = function(namespace,name,value) {\n\tthis.setAttribute(name,value);\n};\n\nTW_Element.prototype.removeAttribute = function(name) {\n\tif(this.isRaw) {\n\t\tthrow \"Cannot removeAttribute on a raw TW_Element\";\n\t}\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\tdelete this.attributes[name];\n\t}\n};\n\nTW_Element.prototype.appendChild = function(node) {\n\tthis.children.push(node);\n\tnode.parentNode = this;\n};\n\nTW_Element.prototype.insertBefore = function(node,nextSibling) {\n\tif(nextSibling) {\n\t\tvar p = this.children.indexOf(nextSibling);\n\t\tif(p !== -1) {\n\t\t\tthis.children.splice(p,0,node);\n\t\t\tnode.parentNode = this;\n\t\t} else {\n\t\t\tthis.appendChild(node);\n\t\t}\n\t} else {\n\t\tthis.appendChild(node);\n\t}\n};\n\nTW_Element.prototype.removeChild = function(node) {\n\tvar p = this.children.indexOf(node);\n\tif(p !== -1) {\n\t\tthis.children.splice(p,1);\n\t}\n};\n\nTW_Element.prototype.hasChildNodes = function() {\n\treturn !!this.children.length;\n};\n\nObject.defineProperty(TW_Element.prototype, \"childNodes\", {\n\tget: function() {\n\t\treturn this.children;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"firstChild\", {\n\tget: function() {\n\t\treturn this.children[0];\n\t}\n});\n\nTW_Element.prototype.addEventListener = function(type,listener,useCapture) {\n\t// Do nothing\n};\n\nObject.defineProperty(TW_Element.prototype, \"tagName\", {\n\tget: function() {\n\t\treturn this.tag || \"\";\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"className\", {\n\tget: function() {\n\t\treturn this.attributes[\"class\"] || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes[\"class\"] = value;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"value\", {\n\tget: function() {\n\t\treturn this.attributes.value || \"\";\n\t},\n\tset: function(value) {\n\t\tthis.attributes.value = value;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"outerHTML\", {\n\tget: function() {\n\t\tvar output = [],attr,a,v;\n\t\toutput.push(\"<\",this.tag);\n\t\tif(this.attributes) {\n\t\t\tattr = [];\n\t\t\tfor(a in this.attributes) {\n\t\t\t\tattr.push(a);\n\t\t\t}\n\t\t\tattr.sort();\n\t\t\tfor(a=0; a<attr.length; a++) {\n\t\t\t\tv = this.attributes[attr[a]];\n\t\t\t\tif(v !== undefined) {\n\t\t\t\t\toutput.push(\" \",attr[a],\"=\\\"\",$tw.utils.htmlEncode(v),\"\\\"\");\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tif(this.style) {\n\t\t\tvar style = [];\n\t\t\tfor(var s in this.style) {\n\t\t\t\tstyle.push(s + \":\" + this.style[s] + \";\");\n\t\t\t}\n\t\t\tif(style.length > 0) {\n\t\t\t\toutput.push(\" style=\\\"\",style.join(\"\"),\"\\\"\")\n\t\t\t}\n\t\t}\n\t\toutput.push(\">\");\n\t\tif($tw.config.htmlVoidElements.indexOf(this.tag) === -1) {\n\t\t\toutput.push(this.innerHTML);\n\t\t\toutput.push(\"</\",this.tag,\">\");\n\t\t}\n\t\treturn output.join(\"\");\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"innerHTML\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\treturn this.rawHTML;\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tif(node instanceof TW_Element) {\n\t\t\t\t\tb.push(node.outerHTML);\n\t\t\t\t} else if(node instanceof TW_TextNode) {\n\t\t\t\t\tb.push($tw.utils.htmlEncode(node.textContent));\n\t\t\t\t}\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.isRaw = true;\n\t\tthis.rawHTML = value;\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"textContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\tthrow \"Cannot get textContent on a raw TW_Element\";\n\t\t} else {\n\t\t\tvar b = [];\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.textContent);\n\t\t\t});\n\t\t\treturn b.join(\"\");\n\t\t}\n\t},\n\tset: function(value) {\n\t\tthis.children = [new TW_TextNode(value)];\n\t}\n});\n\nObject.defineProperty(TW_Element.prototype, \"formattedTextContent\", {\n\tget: function() {\n\t\tif(this.isRaw) {\n\t\t\tthrow \"Cannot get formattedTextContent on a raw TW_Element\";\n\t\t} else {\n\t\t\tvar b = [],\n\t\t\t\tisBlock = $tw.config.htmlBlockElements.indexOf(this.tag) !== -1;\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\tif(this.tag === \"li\") {\n\t\t\t\tb.push(\"* \");\n\t\t\t}\n\t\t\t$tw.utils.each(this.children,function(node) {\n\t\t\t\tb.push(node.formattedTextContent);\n\t\t\t});\n\t\t\tif(isBlock) {\n\t\t\t\tb.push(\"\\n\");\n\t\t\t}\n\t\t\treturn b.join(\"\");\n\t\t}\n\t}\n});\n\nvar document = {\n\tsetSequenceNumber: function(value) {\n\t\tsequenceNumber = value;\n\t},\n\tcreateElementNS: function(namespace,tag) {\n\t\treturn new TW_Element(tag,namespace);\n\t},\n\tcreateElement: function(tag) {\n\t\treturn new TW_Element(tag);\n\t},\n\tcreateTextNode: function(text) {\n\t\treturn new TW_TextNode(text);\n\t},\n\tcompatMode: \"CSS1Compat\", // For KaTeX to know that we're not a browser in quirks mode\n\tisTiddlyWikiFakeDom: true\n};\n\nexports.fakeDocument = document;\n\n})();\n",
"title": "$:/core/modules/utils/fakedom.js",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/utils/filesystem.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/filesystem.js\ntype: application/javascript\nmodule-type: utils-node\n\nFile system utilities\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar fs = require(\"fs\"),\n\tpath = require(\"path\");\n\n/*\nRecursively (and synchronously) copy a directory and all its content\n*/\nexports.copyDirectory = function(srcPath,dstPath) {\n\t// Remove any trailing path separators\n\tsrcPath = $tw.utils.removeTrailingSeparator(srcPath);\n\tdstPath = $tw.utils.removeTrailingSeparator(dstPath);\n\t// Create the destination directory\n\tvar err = $tw.utils.createDirectory(dstPath);\n\tif(err) {\n\t\treturn err;\n\t}\n\t// Function to copy a folder full of files\n\tvar copy = function(srcPath,dstPath) {\n\t\tvar srcStats = fs.lstatSync(srcPath),\n\t\t\tdstExists = fs.existsSync(dstPath);\n\t\tif(srcStats.isFile()) {\n\t\t\t$tw.utils.copyFile(srcPath,dstPath);\n\t\t} else if(srcStats.isDirectory()) {\n\t\t\tvar items = fs.readdirSync(srcPath);\n\t\t\tfor(var t=0; t<items.length; t++) {\n\t\t\t\tvar item = items[t],\n\t\t\t\t\terr = copy(srcPath + path.sep + item,dstPath + path.sep + item);\n\t\t\t\tif(err) {\n\t\t\t\t\treturn err;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t};\n\tcopy(srcPath,dstPath);\n\treturn null;\n};\n\n/*\nCopy a file\n*/\nvar FILE_BUFFER_LENGTH = 64 * 1024,\n\tfileBuffer;\n\nexports.copyFile = function(srcPath,dstPath) {\n\t// Create buffer if required\n\tif(!fileBuffer) {\n\t\tfileBuffer = new Buffer(FILE_BUFFER_LENGTH);\n\t}\n\t// Create any directories in the destination\n\t$tw.utils.createDirectory(path.dirname(dstPath));\n\t// Copy the file\n\tvar srcFile = fs.openSync(srcPath,\"r\"),\n\t\tdstFile = fs.openSync(dstPath,\"w\"),\n\t\tbytesRead = 1,\n\t\tpos = 0;\n\twhile (bytesRead > 0) {\n\t\tbytesRead = fs.readSync(srcFile,fileBuffer,0,FILE_BUFFER_LENGTH,pos);\n\t\tfs.writeSync(dstFile,fileBuffer,0,bytesRead);\n\t\tpos += bytesRead;\n\t}\n\tfs.closeSync(srcFile);\n\tfs.closeSync(dstFile);\n\treturn null;\n};\n\n/*\nRemove trailing path separator\n*/\nexports.removeTrailingSeparator = function(dirPath) {\n\tvar len = dirPath.length;\n\tif(dirPath.charAt(len-1) === path.sep) {\n\t\tdirPath = dirPath.substr(0,len-1);\n\t}\n\treturn dirPath;\n};\n\n/*\nRecursively create a directory\n*/\nexports.createDirectory = function(dirPath) {\n\tif(dirPath.substr(dirPath.length-1,1) !== path.sep) {\n\t\tdirPath = dirPath + path.sep;\n\t}\n\tvar pos = 1;\n\tpos = dirPath.indexOf(path.sep,pos);\n\twhile(pos !== -1) {\n\t\tvar subDirPath = dirPath.substr(0,pos);\n\t\tif(!$tw.utils.isDirectory(subDirPath)) {\n\t\t\ttry {\n\t\t\t\tfs.mkdirSync(subDirPath);\n\t\t\t} catch(e) {\n\t\t\t\treturn \"Error creating directory '\" + subDirPath + \"'\";\n\t\t\t}\n\t\t}\n\t\tpos = dirPath.indexOf(path.sep,pos + 1);\n\t}\n\treturn null;\n};\n\n/*\nRecursively create directories needed to contain a specified file\n*/\nexports.createFileDirectories = function(filePath) {\n\treturn $tw.utils.createDirectory(path.dirname(filePath));\n};\n\n/*\nRecursively delete a directory\n*/\nexports.deleteDirectory = function(dirPath) {\n\tif(fs.existsSync(dirPath)) {\n\t\tvar entries = fs.readdirSync(dirPath);\n\t\tfor(var entryIndex=0; entryIndex<entries.length; entryIndex++) {\n\t\t\tvar currPath = dirPath + path.sep + entries[entryIndex];\n\t\t\tif(fs.lstatSync(currPath).isDirectory()) {\n\t\t\t\t$tw.utils.deleteDirectory(currPath);\n\t\t\t} else {\n\t\t\t\tfs.unlinkSync(currPath);\n\t\t\t}\n\t\t}\n\tfs.rmdirSync(dirPath);\n\t}\n\treturn null;\n};\n\n/*\nCheck if a path identifies a directory\n*/\nexports.isDirectory = function(dirPath) {\n\treturn fs.existsSync(dirPath) && fs.statSync(dirPath).isDirectory();\n};\n\n/*\nCheck if a path identifies a directory that is empty\n*/\nexports.isDirectoryEmpty = function(dirPath) {\n\tif(!$tw.utils.isDirectory(dirPath)) {\n\t\treturn false;\n\t}\n\tvar files = fs.readdirSync(dirPath),\n\t\tempty = true;\n\t$tw.utils.each(files,function(file,index) {\n\t\tif(file.charAt(0) !== \".\") {\n\t\t\tempty = false;\n\t\t}\n\t});\n\treturn empty;\n};\n\n})();\n",
"title": "$:/core/modules/utils/filesystem.js",
"type": "application/javascript",
"module-type": "utils-node"
},
"$:/core/modules/utils/logger.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/logger.js\ntype: application/javascript\nmodule-type: utils\n\nA basic logging implementation\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar ALERT_TAG = \"$:/tags/Alert\";\n\n/*\nMake a new logger\n*/\nfunction Logger(componentName) {\n\tthis.componentName = componentName || \"\";\n}\n\n/*\nLog a message\n*/\nLogger.prototype.log = function(/* args */) {\n\tif(console !== undefined && console.log !== undefined) {\n\t\treturn Function.apply.call(console.log, console, [this.componentName + \":\"].concat(Array.prototype.slice.call(arguments,0)));\n\t}\n};\n\n/*\nAlert a message\n*/\nLogger.prototype.alert = function(/* args */) {\n\t// Prepare the text of the alert\n\tvar text = Array.prototype.join.call(arguments,\" \");\n\t// Create alert tiddlers in the browser\n\tif($tw.browser) {\n\t\t// Check if there is an existing alert with the same text and the same component\n\t\tvar existingAlerts = $tw.wiki.getTiddlersWithTag(ALERT_TAG),\n\t\t\talertFields,\n\t\t\texistingCount,\n\t\t\tself = this;\n\t\t$tw.utils.each(existingAlerts,function(title) {\n\t\t\tvar tiddler = $tw.wiki.getTiddler(title);\n\t\t\tif(tiddler.fields.text === text && tiddler.fields.component === self.componentName && tiddler.fields.modified && (!alertFields || tiddler.fields.modified < alertFields.modified)) {\n\t\t\t\t\talertFields = $tw.utils.extend({},tiddler.fields);\n\t\t\t}\n\t\t});\n\t\tif(alertFields) {\n\t\t\texistingCount = alertFields.count || 1;\n\t\t} else {\n\t\t\talertFields = {\n\t\t\t\ttitle: $tw.wiki.generateNewTitle(\"$:/temp/alerts/alert\",{prefix: \"\"}),\n\t\t\t\ttext: text,\n\t\t\t\ttags: [ALERT_TAG],\n\t\t\t\tcomponent: this.componentName\n\t\t\t};\n\t\t\texistingCount = 0;\n\t\t}\n\t\talertFields.modified = new Date();\n\t\tif(++existingCount > 1) {\n\t\t\talertFields.count = existingCount;\n\t\t} else {\n\t\t\talertFields.count = undefined;\n\t\t}\n\t\t$tw.wiki.addTiddler(new $tw.Tiddler(alertFields));\n\t\t// Log the alert as well\n\t\tthis.log.apply(this,Array.prototype.slice.call(arguments,0));\n\t} else {\n\t\t// Print an orange message to the console if not in the browser\n\t\tconsole.error(\"\\x1b[1;33m\" + text + \"\\x1b[0m\");\n\t}\n};\n\nexports.Logger = Logger;\n\n})();\n",
"title": "$:/core/modules/utils/logger.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/parsetree.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/parsetree.js\ntype: application/javascript\nmodule-type: utils\n\nParse tree utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nexports.addAttributeToParseTreeNode = function(node,name,value) {\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[name] = {type: \"string\", value: value};\n};\n\nexports.getAttributeValueFromParseTreeNode = function(node,name,defaultValue) {\n\tif(node.attributes && node.attributes[name] && node.attributes[name].value !== undefined) {\n\t\treturn node.attributes[name].value;\n\t}\n\treturn defaultValue;\n};\n\nexports.addClassToParseTreeNode = function(node,classString) {\n\tvar classes = [];\n\tnode.attributes = node.attributes || {};\n\tnode.attributes[\"class\"] = node.attributes[\"class\"] || {type: \"string\", value: \"\"};\n\tif(node.attributes[\"class\"].type === \"string\") {\n\t\tif(node.attributes[\"class\"].value !== \"\") {\n\t\t\tclasses = node.attributes[\"class\"].value.split(\" \");\n\t\t}\n\t\tif(classString !== \"\") {\n\t\t\t$tw.utils.pushTop(classes,classString.split(\" \"));\n\t\t}\n\t\tnode.attributes[\"class\"].value = classes.join(\" \");\n\t}\n};\n\nexports.addStyleToParseTreeNode = function(node,name,value) {\n\t\tnode.attributes = node.attributes || {};\n\t\tnode.attributes.style = node.attributes.style || {type: \"string\", value: \"\"};\n\t\tif(node.attributes.style.type === \"string\") {\n\t\t\tnode.attributes.style.value += name + \":\" + value + \";\";\n\t\t}\n};\n\nexports.findParseTreeNode = function(nodeArray,search) {\n\tfor(var t=0; t<nodeArray.length; t++) {\n\t\tif(nodeArray[t].type === search.type && nodeArray[t].tag === search.tag) {\n\t\t\treturn nodeArray[t];\n\t\t}\n\t}\n\treturn undefined;\n};\n\n/*\nHelper to get the text of a parse tree node or array of nodes\n*/\nexports.getParseTreeText = function getParseTreeText(tree) {\n\tvar output = [];\n\tif($tw.utils.isArray(tree)) {\n\t\t$tw.utils.each(tree,function(node) {\n\t\t\toutput.push(getParseTreeText(node));\n\t\t});\n\t} else {\n\t\tif(tree.type === \"text\") {\n\t\t\toutput.push(tree.text);\n\t\t}\n\t\tif(tree.children) {\n\t\t\treturn getParseTreeText(tree.children);\n\t\t}\n\t}\n\treturn output.join(\"\");\n};\n\n})();\n",
"title": "$:/core/modules/utils/parsetree.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/performance.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/performance.js\ntype: application/javascript\nmodule-type: global\n\nPerformance measurement.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nfunction Performance(enabled) {\n\tthis.enabled = !!enabled;\n\tthis.measures = {}; // Hashmap of current values of measurements\n\tthis.logger = new $tw.utils.Logger(\"performance\");\n}\n\n/*\nWrap performance reporting around a top level function\n*/\nPerformance.prototype.report = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tself.measures = {};\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments);\n\t\t\tself.logger.log(name + \": \" + $tw.utils.timer(startTime).toFixed(2) + \"ms\");\n\t\t\tfor(var m in self.measures) {\n\t\t\t\tself.logger.log(\"+\" + m + \": \" + self.measures[m].toFixed(2) + \"ms\");\n\t\t\t}\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\n/*\nWrap performance measurements around a subfunction\n*/\nPerformance.prototype.measure = function(name,fn) {\n\tvar self = this;\n\tif(this.enabled) {\n\t\treturn function() {\n\t\t\tvar startTime = $tw.utils.timer(),\n\t\t\t\tresult = fn.apply(this,arguments),\n\t\t\t\tvalue = self.measures[name] || 0;\n\t\t\tself.measures[name] = value + $tw.utils.timer(startTime);\n\t\t\treturn result;\n\t\t};\n\t} else {\n\t\treturn fn;\n\t}\n};\n\nexports.Performance = Performance;\n\n})();\n",
"title": "$:/core/modules/utils/performance.js",
"type": "application/javascript",
"module-type": "global"
},
"$:/core/modules/utils/pluginmaker.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/pluginmaker.js\ntype: application/javascript\nmodule-type: utils\n\nA quick and dirty way to pack up plugins within the browser.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRepack a plugin, and then delete any non-shadow payload tiddlers\n*/\nexports.repackPlugin = function(title,additionalTiddlers,excludeTiddlers) {\n\tadditionalTiddlers = additionalTiddlers || [];\n\texcludeTiddlers = excludeTiddlers || [];\n\t// Get the plugin tiddler\n\tvar pluginTiddler = $tw.wiki.getTiddler(title);\n\tif(!pluginTiddler) {\n\t\tthrow \"No such tiddler as \" + title;\n\t}\n\t// Extract the JSON\n\tvar jsonPluginTiddler;\n\ttry {\n\t\tjsonPluginTiddler = JSON.parse(pluginTiddler.fields.text);\n\t} catch(e) {\n\t\tthrow \"Cannot parse plugin tiddler \" + title + \"\\nError: \" + e;\n\t}\n\t// Get the list of tiddlers\n\tvar tiddlers = Object.keys(jsonPluginTiddler.tiddlers);\n\t// Add the additional tiddlers\n\t$tw.utils.pushTop(tiddlers,additionalTiddlers);\n\t// Remove any excluded tiddlers\n\tfor(var t=tiddlers.length-1; t>=0; t--) {\n\t\tif(excludeTiddlers.indexOf(tiddlers[t]) !== -1) {\n\t\t\ttiddlers.splice(t,1);\n\t\t}\n\t}\n\t// Pack up the tiddlers into a block of JSON\n\tvar plugins = {};\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = $tw.wiki.getTiddler(title),\n\t\t\tfields = {};\n\t\t$tw.utils.each(tiddler.fields,function (value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\tplugins[title] = fields;\n\t});\n\t// Retrieve and bump the version number\n\tvar pluginVersion = $tw.utils.parseVersion(pluginTiddler.getFieldString(\"version\") || \"0.0.0\") || {\n\t\t\tmajor: \"0\",\n\t\t\tminor: \"0\",\n\t\t\tpatch: \"0\"\n\t\t};\n\tpluginVersion.patch++;\n\tvar version = pluginVersion.major + \".\" + pluginVersion.minor + \".\" + pluginVersion.patch;\n\tif(pluginVersion.prerelease) {\n\t\tversion += \"-\" + pluginVersion.prerelease;\n\t}\n\tif(pluginVersion.build) {\n\t\tversion += \"+\" + pluginVersion.build;\n\t}\n\t// Save the tiddler\n\t$tw.wiki.addTiddler(new $tw.Tiddler(pluginTiddler,{text: JSON.stringify({tiddlers: plugins},null,4), version: version}));\n\t// Delete any non-shadow constituent tiddlers\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tif($tw.wiki.tiddlerExists(title)) {\n\t\t\t$tw.wiki.deleteTiddler(title);\n\t\t}\n\t});\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t// Return a heartwarming confirmation\n\treturn \"Plugin \" + title + \" successfully saved\";\n};\n\n})();\n",
"title": "$:/core/modules/utils/pluginmaker.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/utils/utils.js": {
"text": "/*\\\ntitle: $:/core/modules/utils/utils.js\ntype: application/javascript\nmodule-type: utils\n\nVarious static utility functions.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nDisplay a warning, in colour if we're on a terminal\n*/\nexports.warning = function(text) {\n\tconsole.log($tw.node ? \"\\x1b[1;33m\" + text + \"\\x1b[0m\" : text);\n}\n\n/*\nTrim whitespace from the start and end of a string\nThanks to Steven Levithan, http://blog.stevenlevithan.com/archives/faster-trim-javascript\n*/\nexports.trim = function(str) {\n\tif(typeof str === \"string\") {\n\t\treturn str.replace(/^\\s\\s*/, '').replace(/\\s\\s*$/, '');\n\t} else {\n\t\treturn str;\n\t}\n};\n\n/*\nReturn the number of keys in an object\n*/\nexports.count = function(object) {\n\treturn Object.keys(object || {}).length;\n};\n\n/*\nCheck if an array is equal by value and by reference.\n*/\nexports.isArrayEqual = function(array1,array2) {\n\tif(array1 === array2) {\n\t\treturn true;\n\t}\n\tarray1 = array1 || [];\n\tarray2 = array2 || [];\n\tif(array1.length !== array2.length) {\n\t\treturn false;\n\t}\n\treturn array1.every(function(value,index) {\n\t\treturn value === array2[index];\n\t});\n};\n\n/*\nPush entries onto an array, removing them first if they already exist in the array\n\tarray: array to modify (assumed to be free of duplicates)\n\tvalue: a single value to push or an array of values to push\n*/\nexports.pushTop = function(array,value) {\n\tvar t,p;\n\tif($tw.utils.isArray(value)) {\n\t\t// Remove any array entries that are duplicated in the new values\n\t\tif(value.length !== 0) {\n\t\t\tif(array.length !== 0) {\n\t\t\t\tif(value.length < array.length) {\n\t\t\t\t\tfor(t=0; t<value.length; t++) {\n\t\t\t\t\t\tp = array.indexOf(value[t]);\n\t\t\t\t\t\tif(p !== -1) {\n\t\t\t\t\t\t\tarray.splice(p,1);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tfor(t=array.length-1; t>=0; t--) {\n\t\t\t\t\t\tp = value.indexOf(array[t]);\n\t\t\t\t\t\tif(p !== -1) {\n\t\t\t\t\t\t\tarray.splice(t,1);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\t// Push the values on top of the main array\n\t\t\tarray.push.apply(array,value);\n\t\t}\n\t} else {\n\t\tp = array.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tarray.splice(p,1);\n\t\t}\n\t\tarray.push(value);\n\t}\n\treturn array;\n};\n\n/*\nRemove entries from an array\n\tarray: array to modify\n\tvalue: a single value to remove, or an array of values to remove\n*/\nexports.removeArrayEntries = function(array,value) {\n\tvar t,p;\n\tif($tw.utils.isArray(value)) {\n\t\tfor(t=0; t<value.length; t++) {\n\t\t\tp = array.indexOf(value[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tarray.splice(p,1);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tp = array.indexOf(value);\n\t\tif(p !== -1) {\n\t\t\tarray.splice(p,1);\n\t\t}\n\t}\n};\n\n/*\nCheck whether any members of a hashmap are present in another hashmap\n*/\nexports.checkDependencies = function(dependencies,changes) {\n\tvar hit = false;\n\t$tw.utils.each(changes,function(change,title) {\n\t\tif($tw.utils.hop(dependencies,title)) {\n\t\t\thit = true;\n\t\t}\n\t});\n\treturn hit;\n};\n\nexports.extend = function(object /* [, src] */) {\n\t$tw.utils.each(Array.prototype.slice.call(arguments, 1), function(source) {\n\t\tif(source) {\n\t\t\tfor(var property in source) {\n\t\t\t\tobject[property] = source[property];\n\t\t\t}\n\t\t}\n\t});\n\treturn object;\n};\n\nexports.deepCopy = function(object) {\n\tvar result,t;\n\tif($tw.utils.isArray(object)) {\n\t\t// Copy arrays\n\t\tresult = object.slice(0);\n\t} else if(typeof object === \"object\") {\n\t\tresult = {};\n\t\tfor(t in object) {\n\t\t\tif(object[t] !== undefined) {\n\t\t\t\tresult[t] = $tw.utils.deepCopy(object[t]);\n\t\t\t}\n\t\t}\n\t} else {\n\t\tresult = object;\n\t}\n\treturn result;\n};\n\nexports.extendDeepCopy = function(object,extendedProperties) {\n\tvar result = $tw.utils.deepCopy(object),t;\n\tfor(t in extendedProperties) {\n\t\tif(extendedProperties[t] !== undefined) {\n\t\t\tresult[t] = $tw.utils.deepCopy(extendedProperties[t]);\n\t\t}\n\t}\n\treturn result;\n};\n\nexports.deepFreeze = function deepFreeze(object) {\n\tvar property, key;\n\tObject.freeze(object);\n\tfor(key in object) {\n\t\tproperty = object[key];\n\t\tif($tw.utils.hop(object,key) && (typeof property === \"object\") && !Object.isFrozen(property)) {\n\t\t\tdeepFreeze(property);\n\t\t}\n\t}\n};\n\nexports.slowInSlowOut = function(t) {\n\treturn (1 - ((Math.cos(t * Math.PI) + 1) / 2));\n};\n\nexports.formatDateString = function(date,template) {\n\tvar result = \"\",\n\t\tt = template,\n\t\tmatches = [\n\t\t\t[/^0hh12/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getHours12(date));\n\t\t\t}],\n\t\t\t[/^wYYYY/, function() {\n\t\t\t\treturn $tw.utils.getYearForWeekNo(date);\n\t\t\t}],\n\t\t\t[/^hh12/, function() {\n\t\t\t\treturn $tw.utils.getHours12(date);\n\t\t\t}],\n\t\t\t[/^DDth/, function() {\n\t\t\t\treturn date.getDate() + $tw.utils.getDaySuffix(date);\n\t\t\t}],\n\t\t\t[/^YYYY/, function() {\n\t\t\t\treturn date.getFullYear();\n\t\t\t}],\n\t\t\t[/^0hh/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getHours());\n\t\t\t}],\n\t\t\t[/^0mm/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMinutes());\n\t\t\t}],\n\t\t\t[/^0ss/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getSeconds());\n\t\t\t}],\n\t\t\t[/^0DD/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getDate());\n\t\t\t}],\n\t\t\t[/^0MM/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getMonth()+1);\n\t\t\t}],\n\t\t\t[/^0WW/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getWeek(date));\n\t\t\t}],\n\t\t\t[/^ddd/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^mmm/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Short/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^DDD/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Day/\" + date.getDay());\n\t\t\t}],\n\t\t\t[/^MMM/, function() {\n\t\t\t\treturn $tw.language.getString(\"Date/Long/Month/\" + (date.getMonth() + 1));\n\t\t\t}],\n\t\t\t[/^TZD/, function() {\n\t\t\t\tvar tz = date.getTimezoneOffset(),\n\t\t\t\tatz = Math.abs(tz);\n\t\t\t\treturn (tz < 0 ? '+' : '-') + $tw.utils.pad(Math.floor(atz / 60)) + ':' + $tw.utils.pad(atz % 60);\n\t\t\t}],\n\t\t\t[/^wYY/, function() {\n\t\t\t\treturn $tw.utils.pad($tw.utils.getYearForWeekNo(date) - 2000);\n\t\t\t}],\n\t\t\t[/^[ap]m/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toLowerCase();\n\t\t\t}],\n\t\t\t[/^hh/, function() {\n\t\t\t\treturn date.getHours();\n\t\t\t}],\n\t\t\t[/^mm/, function() {\n\t\t\t\treturn date.getMinutes();\n\t\t\t}],\n\t\t\t[/^ss/, function() {\n\t\t\t\treturn date.getSeconds();\n\t\t\t}],\n\t\t\t[/^[AP]M/, function() {\n\t\t\t\treturn $tw.utils.getAmPm(date).toUpperCase();\n\t\t\t}],\n\t\t\t[/^DD/, function() {\n\t\t\t\treturn date.getDate();\n\t\t\t}],\n\t\t\t[/^MM/, function() {\n\t\t\t\treturn date.getMonth() + 1;\n\t\t\t}],\n\t\t\t[/^WW/, function() {\n\t\t\t\treturn $tw.utils.getWeek(date);\n\t\t\t}],\n\t\t\t[/^YY/, function() {\n\t\t\t\treturn $tw.utils.pad(date.getFullYear() - 2000);\n\t\t\t}]\n\t\t];\n\twhile(t.length){\n\t\tvar matchString = \"\";\n\t\t$tw.utils.each(matches, function(m) {\n\t\t\tvar match = m[0].exec(t);\n\t\t\tif(match) {\n\t\t\t\tmatchString = m[1].call();\n\t\t\t\tt = t.substr(match[0].length);\n\t\t\t\treturn false;\n\t\t\t}\n\t\t});\n\t\tif(matchString) {\n\t\t\tresult += matchString;\n\t\t} else {\n\t\t\tresult += t.charAt(0);\n\t\t\tt = t.substr(1);\n\t\t}\n\t}\n\tresult = result.replace(/\\\\(.)/g,\"$1\");\n\treturn result;\n};\n\nexports.getAmPm = function(date) {\n\treturn $tw.language.getString(\"Date/Period/\" + (date.getHours() >= 12 ? \"pm\" : \"am\"));\n};\n\nexports.getDaySuffix = function(date) {\n\treturn $tw.language.getString(\"Date/DaySuffix/\" + date.getDate());\n};\n\nexports.getWeek = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week to calculate weekNo\n\tvar n = Math.floor((dt.getTime()-new Date(dt.getFullYear(),0,1) + 3600000) / 86400000);\n\treturn Math.floor(n / 7) + 1;\n};\n\nexports.getYearForWeekNo = function(date) {\n\tvar dt = new Date(date.getTime());\n\tvar d = dt.getDay();\n\tif(d === 0) {\n\t\td = 7; // JavaScript Sun=0, ISO Sun=7\n\t}\n\tdt.setTime(dt.getTime() + (4 - d) * 86400000);// shift day to Thurs of same week\n\treturn dt.getFullYear();\n};\n\nexports.getHours12 = function(date) {\n\tvar h = date.getHours();\n\treturn h > 12 ? h-12 : ( h > 0 ? h : 12 );\n};\n\n/*\nConvert a date delta in milliseconds into a string representation of \"23 seconds ago\", \"27 minutes ago\" etc.\n\tdelta: delta in milliseconds\nReturns an object with these members:\n\tdescription: string describing the delta period\n\tupdatePeriod: time in millisecond until the string will be inaccurate\n*/\nexports.getRelativeDate = function(delta) {\n\tvar futurep = false;\n\tif(delta < 0) {\n\t\tdelta = -1 * delta;\n\t\tfuturep = true;\n\t}\n\tvar units = [\n\t\t{name: \"Years\", duration: 365 * 24 * 60 * 60 * 1000},\n\t\t{name: \"Months\", duration: (365/12) * 24 * 60 * 60 * 1000},\n\t\t{name: \"Days\", duration: 24 * 60 * 60 * 1000},\n\t\t{name: \"Hours\", duration: 60 * 60 * 1000},\n\t\t{name: \"Minutes\", duration: 60 * 1000},\n\t\t{name: \"Seconds\", duration: 1000}\n\t];\n\tfor(var t=0; t<units.length; t++) {\n\t\tvar result = Math.floor(delta / units[t].duration);\n\t\tif(result >= 2) {\n\t\t\treturn {\n\t\t\t\tdelta: delta,\n\t\t\t\tdescription: $tw.language.getString(\n\t\t\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/\" + units[t].name,\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{period: result.toString()}\n\t\t\t\t\t}\n\t\t\t\t),\n\t\t\t\tupdatePeriod: units[t].duration\n\t\t\t};\n\t\t}\n\t}\n\treturn {\n\t\tdelta: delta,\n\t\tdescription: $tw.language.getString(\n\t\t\t\"RelativeDate/\" + (futurep ? \"Future\" : \"Past\") + \"/Second\",\n\t\t\t{variables:\n\t\t\t\t{period: \"1\"}\n\t\t\t}\n\t\t),\n\t\tupdatePeriod: 1000\n\t};\n};\n\n// Convert & to \"&\", < to \"<\", > to \">\", \" to \""\"\nexports.htmlEncode = function(s) {\n\tif(s) {\n\t\treturn s.toString().replace(/&/mg,\"&\").replace(/</mg,\"<\").replace(/>/mg,\">\").replace(/\\\"/mg,\""\");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n// Converts all HTML entities to their character equivalents\nexports.entityDecode = function(s) {\n\tvar e = s.substr(1,s.length-2); // Strip the & and the ;\n\tif(e.charAt(0) === \"#\") {\n\t\tif(e.charAt(1) === \"x\" || e.charAt(1) === \"X\") {\n\t\t\treturn String.fromCharCode(parseInt(e.substr(2),16));\t\n\t\t} else {\n\t\t\treturn String.fromCharCode(parseInt(e.substr(1),10));\n\t\t}\n\t} else {\n\t\tvar c = $tw.config.htmlEntities[e];\n\t\tif(c) {\n\t\t\treturn String.fromCharCode(c);\n\t\t} else {\n\t\t\treturn s; // Couldn't convert it as an entity, just return it raw\n\t\t}\n\t}\n};\n\nexports.unescapeLineBreaks = function(s) {\n\treturn s.replace(/\\\\n/mg,\"\\n\").replace(/\\\\b/mg,\" \").replace(/\\\\s/mg,\"\\\\\").replace(/\\r/mg,\"\");\n};\n\n/*\n * Returns an escape sequence for given character. Uses \\x for characters <=\n * 0xFF to save space, \\u for the rest.\n *\n * The code needs to be in sync with th code template in the compilation\n * function for \"action\" nodes.\n */\n// Copied from peg.js, thanks to David Majda\nexports.escape = function(ch) {\n\tvar charCode = ch.charCodeAt(0);\n\tif(charCode <= 0xFF) {\n\t\treturn '\\\\x' + $tw.utils.pad(charCode.toString(16).toUpperCase());\n\t} else {\n\t\treturn '\\\\u' + $tw.utils.pad(charCode.toString(16).toUpperCase(),4);\n\t}\n};\n\n// Turns a string into a legal JavaScript string\n// Copied from peg.js, thanks to David Majda\nexports.stringify = function(s) {\n\t/*\n\t* ECMA-262, 5th ed., 7.8.4: All characters may appear literally in a string\n\t* literal except for the closing quote character, backslash, carriage return,\n\t* line separator, paragraph separator, and line feed. Any character may\n\t* appear in the form of an escape sequence.\n\t*\n\t* For portability, we also escape all non-ASCII characters.\n\t*/\n\treturn (s || \"\")\n\t\t.replace(/\\\\/g, '\\\\\\\\') // backslash\n\t\t.replace(/\"/g, '\\\\\"') // double quote character\n\t\t.replace(/'/g, \"\\\\'\") // single quote character\n\t\t.replace(/\\r/g, '\\\\r') // carriage return\n\t\t.replace(/\\n/g, '\\\\n') // line feed\n\t\t.replace(/[\\x80-\\uFFFF]/g, exports.escape); // non-ASCII characters\n};\n\n/*\nEscape the RegExp special characters with a preceding backslash\n*/\nexports.escapeRegExp = function(s) {\n return s.replace(/[\\-\\/\\\\\\^\\$\\*\\+\\?\\.\\(\\)\\|\\[\\]\\{\\}]/g, '\\\\$&');\n};\n\n// Checks whether a link target is external, i.e. not a tiddler title\nexports.isLinkExternal = function(to) {\n\tvar externalRegExp = /(?:file|http|https|mailto|ftp|irc|news|data|skype):[^\\s<>{}\\[\\]`|'\"\\\\^~]+(?:\\/|\\b)/i;\n\treturn externalRegExp.test(to);\n};\n\nexports.nextTick = function(fn) {\n/*global window: false */\n\tif(typeof process === \"undefined\") {\n\t\t// Apparently it would be faster to use postMessage - http://dbaron.org/log/20100309-faster-timeouts\n\t\twindow.setTimeout(fn,4);\n\t} else {\n\t\tprocess.nextTick(fn);\n\t}\n};\n\n/*\nConvert a hyphenated CSS property name into a camel case one\n*/\nexports.unHyphenateCss = function(propName) {\n\treturn propName.replace(/-([a-z])/gi, function(match0,match1) {\n\t\treturn match1.toUpperCase();\n\t});\n};\n\n/*\nConvert a camelcase CSS property name into a dashed one (\"backgroundColor\" --> \"background-color\")\n*/\nexports.hyphenateCss = function(propName) {\n\treturn propName.replace(/([A-Z])/g, function(match0,match1) {\n\t\treturn \"-\" + match1.toLowerCase();\n\t});\n};\n\n/*\nParse a text reference of one of these forms:\n* title\n* !!field\n* title!!field\n* title##index\n* etc\nReturns an object with the following fields, all optional:\n* title: tiddler title\n* field: tiddler field name\n* index: JSON property index\n*/\nexports.parseTextReference = function(textRef) {\n\t// Separate out the title, field name and/or JSON indices\n\tvar reTextRef = /(?:(.*?)!!(.+))|(?:(.*?)##(.+))|(.*)/mg,\n\t\tmatch = reTextRef.exec(textRef),\n\t\tresult = {};\n\tif(match && reTextRef.lastIndex === textRef.length) {\n\t\t// Return the parts\n\t\tif(match[1]) {\n\t\t\tresult.title = match[1];\n\t\t}\n\t\tif(match[2]) {\n\t\t\tresult.field = match[2];\n\t\t}\n\t\tif(match[3]) {\n\t\t\tresult.title = match[3];\n\t\t}\n\t\tif(match[4]) {\n\t\t\tresult.index = match[4];\n\t\t}\n\t\tif(match[5]) {\n\t\t\tresult.title = match[5];\n\t\t}\n\t} else {\n\t\t// If we couldn't parse it\n\t\tresult.title = textRef\n\t}\n\treturn result;\n};\n\n/*\nChecks whether a string is a valid fieldname\n*/\nexports.isValidFieldName = function(name) {\n\tif(!name || typeof name !== \"string\") {\n\t\treturn false;\n\t}\n\tname = name.toLowerCase().trim();\n\tvar fieldValidatorRegEx = /^[a-z0-9\\-\\._]+$/mg;\n\treturn fieldValidatorRegEx.test(name);\n};\n\n/*\nExtract the version number from the meta tag or from the boot file\n*/\n\n// Browser version\nexports.extractVersionInfo = function() {\n\tif($tw.packageInfo) {\n\t\treturn $tw.packageInfo.version;\n\t} else {\n\t\tvar metatags = document.getElementsByTagName(\"meta\");\n\t\tfor(var t=0; t<metatags.length; t++) {\n\t\t\tvar m = metatags[t];\n\t\t\tif(m.name === \"tiddlywiki-version\") {\n\t\t\t\treturn m.content;\n\t\t\t}\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the animation duration in ms\n*/\nexports.getAnimationDuration = function() {\n\treturn parseInt($tw.wiki.getTiddlerText(\"$:/config/AnimationDuration\",\"400\"),10);\n};\n\n/*\nHash a string to a number\nDerived from http://stackoverflow.com/a/15710692\n*/\nexports.hashString = function(str) {\n\treturn str.split(\"\").reduce(function(a,b) {\n\t\ta = ((a << 5) - a) + b.charCodeAt(0);\n\t\treturn a & a;\n\t},0);\n};\n\n/*\nDecode a base64 string\n*/\nexports.base64Decode = function(string64) {\n\tif($tw.browser) {\n\t\t// TODO\n\t\tthrow \"$tw.utils.base64Decode() doesn't work in the browser\";\n\t} else {\n\t\treturn (new Buffer(string64,\"base64\")).toString();\n\t}\n};\n\n/*\nConvert a hashmap into a tiddler dictionary format sequence of name:value pairs\n*/\nexports.makeTiddlerDictionary = function(data) {\n\tvar output = [];\n\tfor(var name in data) {\n\t\toutput.push(name + \": \" + data[name]);\n\t}\n\treturn output.join(\"\\n\");\n};\n\n/*\nHigh resolution microsecond timer for profiling\n*/\nexports.timer = function(base) {\n\tvar m;\n\tif($tw.node) {\n\t\tvar r = process.hrtime();\t\t\n\t\tm = r[0] * 1e3 + (r[1] / 1e6);\n\t} else if(window.performance) {\n\t\tm = performance.now();\n\t} else {\n\t\tm = Date.now();\n\t}\n\tif(typeof base !== \"undefined\") {\n\t\tm = m - base;\n\t}\n\treturn m;\n};\n\n/*\nConvert text and content type to a data URI\n*/\nexports.makeDataUri = function(text,type) {\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar typeInfo = $tw.config.contentTypeInfo[type] || $tw.config.contentTypeInfo[\"text/plain\"],\n\t\tisBase64 = typeInfo.encoding === \"base64\",\n\t\tparts = [];\n\tparts.push(\"data:\");\n\tparts.push(type);\n\tparts.push(isBase64 ? \";base64\" : \"\");\n\tparts.push(\",\");\n\tparts.push(isBase64 ? text : encodeURIComponent(text));\n\treturn parts.join(\"\");\n};\n\n/*\nUseful for finding out the fully escaped CSS selector equivalent to a given tag. For example:\n\n$tw.utils.tagToCssSelector(\"$:/tags/Stylesheet\") --> tc-tagged-\\%24\\%3A\\%2Ftags\\%2FStylesheet\n*/\nexports.tagToCssSelector = function(tagName) {\n\treturn \"tc-tagged-\" + encodeURIComponent(tagName).replace(/[!\"#$%&'()*+,\\-./:;<=>?@[\\\\\\]^`{\\|}~,]/mg,function(c) {\n\t\treturn \"\\\\\" + c;\n\t});\n};\n\n\n/*\nIE does not have sign function\n*/\nexports.sign = Math.sign || function(x) {\n\tx = +x; // convert to a number\n\tif (x === 0 || isNaN(x)) {\n\t\treturn x;\n\t}\n\treturn x > 0 ? 1 : -1;\n};\n\n})();\n",
"title": "$:/core/modules/utils/utils.js",
"type": "application/javascript",
"module-type": "utils"
},
"$:/core/modules/widgets/action-deletefield.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/action-deletefield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete fields of a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\ttiddler = this.wiki.getTiddler(self.actionTiddler),\n\t\tremoveFields = {};\n\tif(this.actionField) {\n\t\tremoveFields[this.actionField] = undefined;\n\t}\n\tif(tiddler) {\n\t\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\t\tif(name.charAt(0) !== \"$\" && name !== \"title\") {\n\t\t\t\tremoveFields[name] = undefined;\n\t\t\t}\n\t\t});\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getModificationFields(),tiddler,removeFields,this.wiki.getCreationFields()));\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletefield\"] = DeleteFieldWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/action-deletefield.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-deletetiddler.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/action-deletetiddler.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to delete a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DeleteTiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDeleteTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDeleteTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nDeleteTiddlerWidget.prototype.execute = function() {\n\tthis.actionFilter = this.getAttribute(\"$filter\");\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nDeleteTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$filter\"] || changedAttributes[\"$tiddler\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nDeleteTiddlerWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar tiddlers = [];\n\tif(this.actionFilter) {\n\t\ttiddlers = this.wiki.filterTiddlers(this.actionFilter,this);\n\t}\n\tif(this.actionTiddler) {\n\t\ttiddlers.push(this.actionTiddler);\n\t}\n\tfor(var t=0; t<tiddlers.length; t++) {\n\t\tthis.wiki.deleteTiddler(tiddlers[t]);\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-deletetiddler\"] = DeleteTiddlerWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/action-deletetiddler.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-listops.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/action-listops.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to apply list operations to any tiddler field (defaults to the 'list' field of the current tiddler)\n\n\\*/\n(function() {\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\nvar ActionListopsWidget = function(parseTreeNode, options) {\n\tthis.initialise(parseTreeNode, options);\n};\n/**\n * Inherit from the base widget class\n */\nActionListopsWidget.prototype = new Widget();\n/**\n * Render this widget into the DOM\n */\nActionListopsWidget.prototype.render = function(parent, nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n/**\n * Compute the internal state of the widget\n */\nActionListopsWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.target = this.getAttribute(\"$tiddler\", this.getVariable(\n\t\t\"currentTiddler\"));\n\tthis.filter = this.getAttribute(\"$filter\");\n\tthis.subfilter = this.getAttribute(\"$subfilter\");\n\tthis.listField = this.getAttribute(\"$field\", \"list\");\n\tthis.listIndex = this.getAttribute(\"$index\");\n\tthis.filtertags = this.getAttribute(\"$tags\");\n};\n/**\n * \tRefresh the widget by ensuring our attributes are up to date\n */\nActionListopsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.$tiddler || changedAttributes.$filter ||\n\t\tchangedAttributes.$subfilter || changedAttributes.$field ||\n\t\tchangedAttributes.$index || changedAttributes.$tags) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n/**\n * \tInvoke the action associated with this widget\n */\nActionListopsWidget.prototype.invokeAction = function(triggeringWidget,\n\tevent) {\n\t//Apply the specified filters to the lists\n\tvar field = this.listField,\n\t\tindex,\n\t\ttype = \"!!\",\n\t\tlist = this.listField;\n\tif(this.listIndex) {\n\t\tfield = undefined;\n\t\tindex = this.listIndex;\n\t\ttype = \"##\";\n\t\tlist = this.listIndex;\n\t}\n\tif(this.filter) {\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(this.filter, this)));\n\t}\n\tif(this.subfilter) {\n\t\tvar subfilter = \"[list[\" + this.target + type + list + \"]] \" + this.subfilter;\n\t\tthis.wiki.setText(this.target, field, index, $tw.utils.stringifyList(\n\t\t\tthis.wiki\n\t\t\t.filterTiddlers(subfilter, this)));\n\t}\n\tif(this.filtertags) {\n\t\tvar tagfilter = \"[list[\" + this.target + \"!!tags]] \" + this.filtertags;\n\t\tthis.wiki.setText(this.target, \"tags\", undefined, $tw.utils.stringifyList(\n\t\t\tthis.wiki.filterTiddlers(tagfilter, this)));\n\t}\n\treturn true; // Action was invoked\n};\n\nexports[\"action-listops\"] = ActionListopsWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/action-listops.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-navigate.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/action-navigate.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to navigate to a tiddler\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigateWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigateWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigateWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigateWidget.prototype.execute = function() {\n\tthis.actionTo = this.getAttribute(\"$to\");\n\tthis.actionScroll = this.getAttribute(\"$scroll\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nNavigateWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$to\"] || changedAttributes[\"$scroll\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nNavigateWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar bounds = triggeringWidget && triggeringWidget.getBoundingClientRect && triggeringWidget.getBoundingClientRect(),\n\t\tsuppressNavigation = event.metaKey || event.ctrlKey || (event.button === 1);\n\tif(this.actionScroll === \"yes\") {\n\t\tsuppressNavigation = false;\n\t} else if(this.actionScroll === \"no\") {\n\t\tsuppressNavigation = true;\n\t}\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.actionTo === undefined ? this.getVariable(\"currentTiddler\") : this.actionTo,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: triggeringWidget,\n\t\tnavigateFromClientRect: bounds && { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: suppressNavigation\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-navigate\"] = NavigateWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/action-navigate.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-sendmessage.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/action-sendmessage.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to send a message\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SendMessageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSendMessageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSendMessageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSendMessageWidget.prototype.execute = function() {\n\tthis.actionMessage = this.getAttribute(\"$message\");\n\tthis.actionParam = this.getAttribute(\"$param\");\n\tthis.actionName = this.getAttribute(\"$name\");\n\tthis.actionValue = this.getAttribute(\"$value\",\"\");\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSendMessageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSendMessageWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\t// Get the string parameter\n\tvar param = this.actionParam;\n\t// Assemble the attributes as a hashmap\n\tvar paramObject = Object.create(null);\n\tvar count = 0;\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparamObject[name] = attribute;\n\t\t\tcount++;\n\t\t}\n\t});\n\t// Add name/value pair if present\n\tif(this.actionName) {\n\t\tparamObject[this.actionName] = this.actionValue;\n\t}\n\t// Dispatch the message\n\tthis.dispatchEvent({\n\t\ttype: this.actionMessage,\n\t\tparam: param,\n\t\tparamObject: paramObject,\n\t\ttiddlerTitle: this.getVariable(\"currentTiddler\"),\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\")\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-sendmessage\"] = SendMessageWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/action-sendmessage.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/action-setfield.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/action-setfield.js\ntype: application/javascript\nmodule-type: widget\n\nAction widget to set a single field or index on a tiddler.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetFieldWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetFieldWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetFieldWidget.prototype.render = function(parent,nextSibling) {\n\tthis.computeAttributes();\n\tthis.execute();\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetFieldWidget.prototype.execute = function() {\n\tthis.actionTiddler = this.getAttribute(\"$tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.actionField = this.getAttribute(\"$field\");\n\tthis.actionIndex = this.getAttribute(\"$index\");\n\tthis.actionValue = this.getAttribute(\"$value\");\n\tthis.actionTimestamp = this.getAttribute(\"$timestamp\",\"yes\") === \"yes\";\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nSetFieldWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"$tiddler\"] || changedAttributes[\"$field\"] || changedAttributes[\"$index\"] || changedAttributes[\"$value\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nInvoke the action associated with this widget\n*/\nSetFieldWidget.prototype.invokeAction = function(triggeringWidget,event) {\n\tvar self = this,\n\t\toptions = {};\n\toptions.suppressTimestamp = !this.actionTimestamp;\n\tif((typeof this.actionField == \"string\") || (typeof this.actionIndex == \"string\") || (typeof this.actionValue == \"string\")) {\n\t\tthis.wiki.setText(this.actionTiddler,this.actionField,this.actionIndex,this.actionValue,options);\n\t}\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tself.wiki.setText(self.actionTiddler,name,undefined,attribute,options);\n\t\t}\n\t});\n\treturn true; // Action was invoked\n};\n\nexports[\"action-setfield\"] = SetFieldWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/action-setfield.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/browse.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/browse.js\ntype: application/javascript\nmodule-type: widget\n\nBrowse widget for browsing for files to import\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar BrowseWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nBrowseWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nBrowseWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"file\");\n\tif(this.browseMultiple) {\n\t\tdomNode.setAttribute(\"multiple\",\"multiple\");\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\t// Nw.js supports \"nwsaveas\" to force a \"save as\" dialogue that allows a new or existing file to be selected\n\tif(this.nwsaveas) {\n\t\tdomNode.setAttribute(\"nwsaveas\",this.nwsaveas);\n\t}\n\t// Nw.js supports \"webkitdirectory\" to allow a directory to be selected\n\tif(this.webkitdirectory) {\n\t\tdomNode.setAttribute(\"webkitdirectory\",this.webkitdirectory);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"change\",function (event) {\n\t\tif(self.message) {\n\t\t\tself.dispatchEvent({type: self.message, param: self.param, files: event.target.files});\n\t\t} else {\n\t\t\tself.wiki.readFiles(event.target.files,function(tiddlerFieldsArray) {\n\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t\t});\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nBrowseWidget.prototype.execute = function() {\n\tthis.browseMultiple = this.getAttribute(\"multiple\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.nwsaveas = this.getAttribute(\"nwsaveas\");\n\tthis.webkitdirectory = this.getAttribute(\"webkitdirectory\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nBrowseWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.browse = BrowseWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/browse.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/button.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/button.js\ntype: application/javascript\nmodule-type: widget\n\nButton widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ButtonWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nButtonWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nButtonWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar tag = \"button\";\n\tif(this.buttonTag && $tw.config.htmlUnsafeElements.indexOf(this.buttonTag) === -1) {\n\t\ttag = this.buttonTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = this[\"class\"].split(\" \") || [],\n\t\tisPoppedUp = this.popup && this.isPoppedUp();\n\tif(this.selectedClass) {\n\t\tif(this.set && this.setTo && this.isSelected()) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t\tif(isPoppedUp) {\n\t\t\t$tw.utils.pushTop(classes,this.selectedClass.split(\" \"));\n\t\t}\n\t}\n\tif(isPoppedUp) {\n\t\t$tw.utils.pushTop(classes,\"tc-popup-handle\");\n\t}\n\tdomNode.className = classes.join(\" \");\n\t// Assign other attributes\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tif(this.tooltip) {\n\t\tdomNode.setAttribute(\"title\",this.tooltip);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Add a click event handler\n\tdomNode.addEventListener(\"click\",function (event) {\n\t\tvar handled = false;\n\t\tif(self.invokeActions(this,event)) {\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.to) {\n\t\t\tself.navigateTo(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.message) {\n\t\t\tself.dispatchMessage(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.popup) {\n\t\t\tself.triggerPopup(event);\n\t\t\thandled = true;\n\t\t}\n\t\tif(self.set) {\n\t\t\tself.setTiddler();\n\t\t\thandled = true;\n\t\t}\n\t\tif(handled) {\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t}\n\t\treturn handled;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nWe don't allow actions to propagate because we trigger actions ourselves\n*/\nButtonWidget.prototype.allowActionPropagation = function() {\n\treturn false;\n};\n\nButtonWidget.prototype.getBoundingClientRect = function() {\n\treturn this.domNodes[0].getBoundingClientRect();\n};\n\nButtonWidget.prototype.isSelected = function() {\n return this.wiki.getTextReference(this.set,this.defaultSetValue,this.getVariable(\"currentTiddler\")) === this.setTo;\n};\n\nButtonWidget.prototype.isPoppedUp = function() {\n\tvar tiddler = this.wiki.getTiddler(this.popup);\n\tvar result = tiddler && tiddler.fields.text ? $tw.popup.readPopupState(tiddler.fields.text) : false;\n\treturn result;\n};\n\nButtonWidget.prototype.navigateTo = function(event) {\n\tvar bounds = this.getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1)\n\t});\n};\n\nButtonWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\")});\n};\n\nButtonWidget.prototype.triggerPopup = function(event) {\n\t$tw.popup.triggerPopup({\n\t\tdomNode: this.domNodes[0],\n\t\ttitle: this.popup,\n\t\twiki: this.wiki\n\t});\n};\n\nButtonWidget.prototype.setTiddler = function() {\n\tthis.wiki.setTextReference(this.set,this.setTo,this.getVariable(\"currentTiddler\"));\n};\n\n/*\nCompute the internal state of the widget\n*/\nButtonWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.to = this.getAttribute(\"to\");\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.set = this.getAttribute(\"set\");\n\tthis.setTo = this.getAttribute(\"setTo\");\n\tthis.popup = this.getAttribute(\"popup\");\n\tthis.hover = this.getAttribute(\"hover\");\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis.style = this.getAttribute(\"style\");\n\tthis.selectedClass = this.getAttribute(\"selectedClass\");\n\tthis.defaultSetValue = this.getAttribute(\"default\",\"\");\n\tthis.buttonTag = this.getAttribute(\"tag\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nButtonWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedAttributes.message || changedAttributes.param || changedAttributes.set || changedAttributes.setTo || changedAttributes.popup || changedAttributes.hover || changedAttributes[\"class\"] || changedAttributes.selectedClass || changedAttributes.style || (this.set && changedTiddlers[this.set]) || (this.popup && changedTiddlers[this.popup])) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.button = ButtonWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/button.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/checkbox.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/checkbox.js\ntype: application/javascript\nmodule-type: widget\n\nCheckbox widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CheckboxWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCheckboxWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCheckboxWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",this.checkboxClass);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"checkbox\");\n\tif(this.getValue()) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nCheckboxWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.checkboxTitle);\n\tif(tiddler) {\n\t\tif(this.checkboxTag) {\n\t\t\tif(this.checkboxInvertTag) {\n\t\t\t\treturn !tiddler.hasTag(this.checkboxTag);\n\t\t\t} else {\n\t\t\t\treturn tiddler.hasTag(this.checkboxTag);\n\t\t\t}\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tvar value = tiddler.fields[this.checkboxField] || this.checkboxDefault || \"\";\n\t\t\tif(value === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(value === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t} else {\n\t\tif(this.checkboxTag) {\n\t\t\treturn false;\n\t\t}\n\t\tif(this.checkboxField) {\n\t\t\tif(this.checkboxDefault === this.checkboxChecked) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t\tif(this.checkboxDefault === this.checkboxUnchecked) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\nCheckboxWidget.prototype.handleChangeEvent = function(event) {\n\tvar checked = this.inputDomNode.checked,\n\t\ttiddler = this.wiki.getTiddler(this.checkboxTitle),\n\t\tfallbackFields = {text: \"\"},\n\t\tnewFields = {title: this.checkboxTitle},\n\t\thasChanged = false,\n\t\ttagCheck = false,\n\t\thasTag = tiddler && tiddler.hasTag(this.checkboxTag);\n\tif(this.checkboxTag && this.checkboxInvertTag === \"yes\") {\n\t\ttagCheck = hasTag === checked;\n\t} else {\n\t\ttagCheck = hasTag !== checked;\n\t}\n\t// Set the tag if specified\n\tif(this.checkboxTag && (!tiddler || tagCheck)) {\n\t\tnewFields.tags = tiddler ? (tiddler.fields.tags || []).slice(0) : [];\n\t\tvar pos = newFields.tags.indexOf(this.checkboxTag);\n\t\tif(pos !== -1) {\n\t\t\tnewFields.tags.splice(pos,1);\n\t\t}\n\t\tif(this.checkboxInvertTag === \"yes\" && !checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t} else if(this.checkboxInvertTag !== \"yes\" && checked) {\n\t\t\tnewFields.tags.push(this.checkboxTag);\n\t\t}\n\t\thasChanged = true;\n\t}\n\t// Set the field if specified\n\tif(this.checkboxField) {\n\t\tvar value = checked ? this.checkboxChecked : this.checkboxUnchecked;\n\t\tif(!tiddler || tiddler.fields[this.checkboxField] !== value) {\n\t\t\tnewFields[this.checkboxField] = value;\n\t\t\thasChanged = true;\n\t\t}\n\t}\n\tif(hasChanged) {\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),fallbackFields,tiddler,newFields,this.wiki.getModificationFields()));\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCheckboxWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.checkboxTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.checkboxTag = this.getAttribute(\"tag\");\n\tthis.checkboxField = this.getAttribute(\"field\");\n\tthis.checkboxChecked = this.getAttribute(\"checked\");\n\tthis.checkboxUnchecked = this.getAttribute(\"unchecked\");\n\tthis.checkboxDefault = this.getAttribute(\"default\");\n\tthis.checkboxClass = this.getAttribute(\"class\",\"\");\n\tthis.checkboxInvertTag = this.getAttribute(\"invertTag\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCheckboxWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.tag || changedAttributes.invertTag || changedAttributes.field || changedAttributes.checked || changedAttributes.unchecked || changedAttributes[\"default\"] || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.checkboxTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue();\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.checkbox = CheckboxWidget;\n\n})();",
"title": "$:/core/modules/widgets/checkbox.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/codeblock.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/codeblock.js\ntype: application/javascript\nmodule-type: widget\n\nCode block node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CodeBlockWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCodeBlockWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCodeBlockWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar codeNode = this.document.createElement(\"code\"),\n\t\tdomNode = this.document.createElement(\"pre\");\n\tcodeNode.appendChild(this.document.createTextNode(this.getAttribute(\"code\")));\n\tdomNode.appendChild(codeNode);\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n\tif(this.postRender) {\n\t\tthis.postRender();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nCodeBlockWidget.prototype.execute = function() {\n\tthis.language = this.getAttribute(\"language\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCodeBlockWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.codeblock = CodeBlockWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/codeblock.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/count.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/count.js\ntype: application/javascript\nmodule-type: widget\n\nCount widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar CountWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nCountWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nCountWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.currentCount);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nCountWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Execute the filter\n\tif(this.filter) {\n\t\tthis.currentCount = this.wiki.filterTiddlers(this.filter,this).length;\n\t} else {\n\t\tthis.currentCount = undefined;\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nCountWidget.prototype.refresh = function(changedTiddlers) {\n\t// Re-execute the filter to get the count\n\tthis.computeAttributes();\n\tvar oldCount = this.currentCount;\n\tthis.execute();\n\tif(this.currentCount !== oldCount) {\n\t\t// Regenerate and rerender the widget and replace the existing DOM node\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\n\t}\n\n};\n\nexports.count = CountWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/count.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/dropzone.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/dropzone.js\ntype: application/javascript\nmodule-type: widget\n\nDropzone widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar DropZoneWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nDropZoneWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nDropZoneWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"div\");\n\tdomNode.className = \"tc-dropzone\";\n\t// Add event handlers\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"dragenter\", handlerObject: this, handlerMethod: \"handleDragEnterEvent\"},\n\t\t{name: \"dragover\", handlerObject: this, handlerMethod: \"handleDragOverEvent\"},\n\t\t{name: \"dragleave\", handlerObject: this, handlerMethod: \"handleDragLeaveEvent\"},\n\t\t{name: \"drop\", handlerObject: this, handlerMethod: \"handleDropEvent\"},\n\t\t{name: \"paste\", handlerObject: this, handlerMethod: \"handlePasteEvent\"}\n\t]);\n\tdomNode.addEventListener(\"click\",function (event) {\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nDropZoneWidget.prototype.enterDrag = function() {\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\t// We count enter/leave events\n\tthis.dragEnterCount = (this.dragEnterCount || 0) + 1;\n\t// If we're entering for the first time we need to apply highlighting\n\tif(this.dragEnterCount === 1) {\n\t\t$tw.utils.addClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDropZoneWidget.prototype.leaveDrag = function() {\n\t// Reduce the enter count\n\tthis.dragEnterCount = (this.dragEnterCount || 0) - 1;\n\t// Remove highlighting if we're leaving externally\n\tif(this.dragEnterCount <= 0) {\n\t\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t}\n};\n\nDropZoneWidget.prototype.handleDragEnterEvent = function(event) {\n\tthis.enterDrag();\n\t// Tell the browser that we're ready to handle the drop\n\tevent.preventDefault();\n\t// Tell the browser not to ripple the drag up to any parent drop handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.handleDragOverEvent = function(event) {\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\t// Tell the browser that we're still interested in the drop\n\tevent.preventDefault();\n\tevent.dataTransfer.dropEffect = \"copy\"; // Explicitly show this is a copy\n};\n\nDropZoneWidget.prototype.handleDragLeaveEvent = function(event) {\n\tthis.leaveDrag();\n};\n\nDropZoneWidget.prototype.handleDropEvent = function(event) {\n\tthis.leaveDrag();\n\t// Check for being over a TEXTAREA or INPUT\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) !== -1) {\n\t\treturn false;\n\t}\n\t// Check for this window being the source of the drag\n\tif($tw.dragInProgress) {\n\t\treturn false;\n\t}\n\tvar self = this,\n\t\tdataTransfer = event.dataTransfer;\n\t// Reset the enter count\n\tthis.dragEnterCount = 0;\n\t// Remove highlighting\n\t$tw.utils.removeClass(this.domNodes[0],\"tc-dragover\");\n\t// Import any files in the drop\n\tvar numFiles = this.wiki.readFiles(dataTransfer.files,function(tiddlerFieldsArray) {\n\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t});\n\t// Try to import the various data types we understand\n\tif(numFiles === 0) {\n\t\tthis.importData(dataTransfer);\n\t}\n\t// Tell the browser that we handled the drop\n\tevent.preventDefault();\n\t// Stop the drop ripple up to any parent handlers\n\tevent.stopPropagation();\n};\n\nDropZoneWidget.prototype.importData = function(dataTransfer) {\n\t// Try each provided data type in turn\n\tfor(var t=0; t<this.importDataTypes.length; t++) {\n\t\tif(!$tw.browser.isIE || this.importDataTypes[t].IECompatible) {\n\t\t\t// Get the data\n\t\t\tvar dataType = this.importDataTypes[t];\n\t\t\t\tvar data = dataTransfer.getData(dataType.type);\n\t\t\t// Import the tiddlers in the data\n\t\t\tif(data !== \"\" && data !== null) {\n\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\tconsole.log(\"Importing data type '\" + dataType.type + \"', data: '\" + data + \"'\")\n\t\t\t\t}\n\t\t\t\tvar tiddlerFields = dataType.convertToFields(data);\n\t\t\t\tif(!tiddlerFields.title) {\n\t\t\t\t\ttiddlerFields.title = this.wiki.generateNewTitle(\"Untitled\");\n\t\t\t\t}\n\t\t\t\tthis.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify([tiddlerFields])});\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n\t}\n};\n\nDropZoneWidget.prototype.importDataTypes = [\n\t{type: \"text/vnd.tiddler\", IECompatible: false, convertToFields: function(data) {\n\t\treturn JSON.parse(data);\n\t}},\n\t{type: \"URL\", IECompatible: true, convertToFields: function(data) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn JSON.parse(match[1]);\n\t\t} else {\n\t\t\treturn { // As URL string\n\t\t\t\ttext: data\n\t\t\t};\n\t\t}\n\t}},\n\t{type: \"text/x-moz-url\", IECompatible: false, convertToFields: function(data) {\n\t\t// Check for tiddler data URI\n\t\tvar match = decodeURIComponent(data).match(/^data\\:text\\/vnd\\.tiddler,(.*)/i);\n\t\tif(match) {\n\t\t\treturn JSON.parse(match[1]);\n\t\t} else {\n\t\t\treturn { // As URL string\n\t\t\t\ttext: data\n\t\t\t};\n\t\t}\n\t}},\n\t{type: \"text/html\", IECompatible: false, convertToFields: function(data) {\n\t\treturn {\n\t\t\ttext: data\n\t\t};\n\t}},\n\t{type: \"text/plain\", IECompatible: false, convertToFields: function(data) {\n\t\treturn {\n\t\t\ttext: data\n\t\t};\n\t}},\n\t{type: \"Text\", IECompatible: true, convertToFields: function(data) {\n\t\treturn {\n\t\t\ttext: data\n\t\t};\n\t}},\n\t{type: \"text/uri-list\", IECompatible: false, convertToFields: function(data) {\n\t\treturn {\n\t\t\ttext: data\n\t\t};\n\t}}\n];\n\nDropZoneWidget.prototype.handlePasteEvent = function(event) {\n\t// Let the browser handle it if we're in a textarea or input box\n\tif([\"TEXTAREA\",\"INPUT\"].indexOf(event.target.tagName) == -1) {\n\t\tvar self = this,\n\t\t\titems = event.clipboardData.items;\n\t\t// Enumerate the clipboard items\n\t\tfor(var t = 0; t<items.length; t++) {\n\t\t\tvar item = items[t];\n\t\t\tif(item.kind === \"file\") {\n\t\t\t\t// Import any files\n\t\t\t\tthis.wiki.readFile(item.getAsFile(),function(tiddlerFieldsArray) {\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify(tiddlerFieldsArray)});\n\t\t\t\t});\n\t\t\t} else if(item.kind === \"string\") {\n\t\t\t\t// Create tiddlers from string items\n\t\t\t\tvar type = item.type;\n\t\t\t\titem.getAsString(function(str) {\n\t\t\t\t\tvar tiddlerFields = {\n\t\t\t\t\t\ttitle: self.wiki.generateNewTitle(\"Untitled\"),\n\t\t\t\t\t\ttext: str,\n\t\t\t\t\t\ttype: type\n\t\t\t\t\t};\n\t\t\t\t\tif($tw.log.IMPORT) {\n\t\t\t\t\t\tconsole.log(\"Importing string '\" + str + \"', type: '\" + type + \"'\");\n\t\t\t\t\t}\n\t\t\t\t\tself.dispatchEvent({type: \"tm-import-tiddlers\", param: JSON.stringify([tiddlerFields])});\n\t\t\t\t});\n\t\t\t}\n\t\t}\n\t\t// Tell the browser that we've handled the paste\n\t\tevent.stopPropagation();\n\t\tevent.preventDefault();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nDropZoneWidget.prototype.execute = function() {\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nDropZoneWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.dropzone = DropZoneWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/dropzone.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-binary.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-binary.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-binary widget; placeholder for editing binary tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar BINARY_WARNING_MESSAGE = \"$:/core/ui/BinaryWarning\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBinaryWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBinaryWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBinaryWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBinaryWidget.prototype.execute = function() {\n\t// Construct the child widgets\n\tthis.makeChildWidgets([{\n\t\ttype: \"transclude\",\n\t\tattributes: {\n\t\t\ttiddler: {type: \"string\", value: BINARY_WARNING_MESSAGE}\n\t\t}\n\t}]);\n};\n\n/*\nRefresh by refreshing our child widget\n*/\nEditBinaryWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"edit-binary\"] = EditBinaryWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/edit-binary.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-bitmap.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-bitmap.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-bitmap widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n// Default image sizes\nvar DEFAULT_IMAGE_WIDTH = 300,\n\tDEFAULT_IMAGE_HEIGHT = 185;\n\n// Configuration tiddlers\nvar LINE_WIDTH_TITLE = \"$:/config/BitmapEditor/LineWidth\",\n\tLINE_COLOUR_TITLE = \"$:/config/BitmapEditor/Colour\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditBitmapWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditBitmapWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditBitmapWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our element\n\tthis.canvasDomNode = $tw.utils.domMaker(\"canvas\",{\n\t\tdocument: this.document,\n\t\t\"class\":\"tc-edit-bitmapeditor\",\n\t\teventListeners: [{\n\t\t\tname: \"touchstart\", handlerObject: this, handlerMethod: \"handleTouchStartEvent\"\n\t\t},{\n\t\t\tname: \"touchmove\", handlerObject: this, handlerMethod: \"handleTouchMoveEvent\"\n\t\t},{\n\t\t\tname: \"touchend\", handlerObject: this, handlerMethod: \"handleTouchEndEvent\"\n\t\t},{\n\t\t\tname: \"mousedown\", handlerObject: this, handlerMethod: \"handleMouseDownEvent\"\n\t\t},{\n\t\t\tname: \"mousemove\", handlerObject: this, handlerMethod: \"handleMouseMoveEvent\"\n\t\t},{\n\t\t\tname: \"mouseup\", handlerObject: this, handlerMethod: \"handleMouseUpEvent\"\n\t\t}]\n\t});\n\tthis.widthDomNode = $tw.utils.domMaker(\"input\",{\n\t\tdocument: this.document,\n\t\t\"class\":\"tc-edit-bitmapeditor-width\",\n\t\teventListeners: [{\n\t\t\tname: \"change\", handlerObject: this, handlerMethod: \"handleWidthChangeEvent\"\n\t\t}]\n\t});\n\tthis.heightDomNode = $tw.utils.domMaker(\"input\",{\n\t\tdocument: this.document,\n\t\t\"class\":\"tc-edit-bitmapeditor-height\",\n\t\teventListeners: [{\n\t\t\tname: \"change\", handlerObject: this, handlerMethod: \"handleHeightChangeEvent\"\n\t\t}]\n\t});\n\t// Insert the elements into the DOM\n\tparent.insertBefore(this.canvasDomNode,nextSibling);\n\tparent.insertBefore(this.widthDomNode,nextSibling);\n\tparent.insertBefore(this.heightDomNode,nextSibling);\n\tthis.domNodes.push(this.canvasDomNode,this.widthDomNode,this.heightDomNode);\n\t// Load the image into the canvas\n\tif($tw.browser) {\n\t\tthis.loadCanvas();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditBitmapWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n};\n\n/*\nNote that the bitmap editor intentionally doesn't try to refresh itself because it would be confusing to have the image changing spontaneously while editting it\n*/\nEditBitmapWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nEditBitmapWidget.prototype.loadCanvas = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle),\n\t\tcurrImage = new Image();\n\t// Set up event handlers for loading the image\n\tvar self = this;\n\tcurrImage.onload = function() {\n\t\t// Copy the image to the on-screen canvas\n\t\tself.initCanvas(self.canvasDomNode,currImage.width,currImage.height,currImage);\n\t\t// And also copy the current bitmap to the off-screen canvas\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,currImage.width,currImage.height,currImage);\n\t\t// Set the width and height input boxes\n\t\tself.updateSize();\n\t};\n\tcurrImage.onerror = function() {\n\t\t// Set the on-screen canvas size and clear it\n\t\tself.initCanvas(self.canvasDomNode,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the off-screen canvas size and clear it\n\t\tself.currCanvas = self.document.createElement(\"canvas\");\n\t\tself.initCanvas(self.currCanvas,DEFAULT_IMAGE_WIDTH,DEFAULT_IMAGE_HEIGHT);\n\t\t// Set the width and height input boxes\n\t\tself.updateSize();\n\t};\n\t// Get the current bitmap into an image object\n\tcurrImage.src = \"data:\" + tiddler.fields.type + \";base64,\" + tiddler.fields.text;\n};\n\nEditBitmapWidget.prototype.initCanvas = function(canvas,width,height,image) {\n\tcanvas.width = width;\n\tcanvas.height = height;\n\tvar ctx = canvas.getContext(\"2d\");\n\tif(image) {\n\t\tctx.drawImage(image,0,0);\n\t} else {\n\t\tctx.fillStyle = \"#fff\";\n\t\tctx.fillRect(0,0,canvas.width,canvas.height);\n\t}\n};\n\n/*\n** Update the input boxes with the actual size of the canvas\n*/\nEditBitmapWidget.prototype.updateSize = function() {\n\tthis.widthDomNode.value = this.currCanvas.width;\n\tthis.heightDomNode.value = this.currCanvas.height;\n};\n\n/*\n** Change the size of the canvas, preserving the current image\n*/\nEditBitmapWidget.prototype.changeCanvasSize = function(newWidth,newHeight) {\n\t// Create and size a new canvas\n\tvar newCanvas = this.document.createElement(\"canvas\");\n\tthis.initCanvas(newCanvas,newWidth,newHeight);\n\t// Copy the old image\n\tvar ctx = newCanvas.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Set the new canvas as the current one\n\tthis.currCanvas = newCanvas;\n\t// Set the size of the onscreen canvas\n\tthis.canvasDomNode.width = newWidth;\n\tthis.canvasDomNode.height = newHeight;\n\t// Paint the onscreen canvas with the offscreen canvas\n\tctx = this.canvasDomNode.getContext(\"2d\");\n\tctx.drawImage(this.currCanvas,0,0);\n};\n\nEditBitmapWidget.prototype.handleWidthChangeEvent = function(event) {\n\t// Get the new width\n\tvar newWidth = parseInt(this.widthDomNode.value,10);\n\t// Update if necessary\n\tif(newWidth > 0 && newWidth !== this.currCanvas.width) {\n\t\tthis.changeCanvasSize(newWidth,this.currCanvas.height);\n\t}\n\t// Update the input controls\n\tthis.updateSize();\n};\n\nEditBitmapWidget.prototype.handleHeightChangeEvent = function(event) {\n\t// Get the new width\n\tvar newHeight = parseInt(this.heightDomNode.value,10);\n\t// Update if necessary\n\tif(newHeight > 0 && newHeight !== this.currCanvas.height) {\n\t\tthis.changeCanvasSize(this.currCanvas.width,newHeight);\n\t}\n\t// Update the input controls\n\tthis.updateSize();\n};\n\nEditBitmapWidget.prototype.handleTouchStartEvent = function(event) {\n\tthis.brushDown = true;\n\tthis.strokeStart(event.touches[0].clientX,event.touches[0].clientY);\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.touches[0].clientX,event.touches[0].clientY);\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleTouchEndEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t}\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseDownEvent = function(event) {\n\tthis.strokeStart(event.clientX,event.clientY);\n\tthis.brushDown = true;\n\tevent.preventDefault();\n\tevent.stopPropagation();\n\treturn false;\n};\n\nEditBitmapWidget.prototype.handleMouseMoveEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.strokeMove(event.clientX,event.clientY);\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.handleMouseUpEvent = function(event) {\n\tif(this.brushDown) {\n\t\tthis.brushDown = false;\n\t\tthis.strokeEnd();\n\t\tevent.preventDefault();\n\t\tevent.stopPropagation();\n\t\treturn false;\n\t}\n\treturn true;\n};\n\nEditBitmapWidget.prototype.adjustCoordinates = function(x,y) {\n\tvar canvasRect = this.canvasDomNode.getBoundingClientRect(),\n\t\tscale = this.canvasDomNode.width/canvasRect.width;\n\treturn {x: (x - canvasRect.left) * scale, y: (y - canvasRect.top) * scale};\n};\n\nEditBitmapWidget.prototype.strokeStart = function(x,y) {\n\t// Start off a new stroke\n\tthis.stroke = [this.adjustCoordinates(x,y)];\n};\n\nEditBitmapWidget.prototype.strokeMove = function(x,y) {\n\tvar ctx = this.canvasDomNode.getContext(\"2d\"),\n\t\tt;\n\t// Add the new position to the end of the stroke\n\tthis.stroke.push(this.adjustCoordinates(x,y));\n\t// Redraw the previous image\n\tctx.drawImage(this.currCanvas,0,0);\n\t// Render the stroke\n\tctx.strokeStyle = this.wiki.getTiddlerText(LINE_COLOUR_TITLE,\"#ff0\");\n\tctx.lineWidth = parseInt(this.wiki.getTiddlerText(LINE_WIDTH_TITLE,\"3\"),10);\n\tctx.lineCap = \"round\";\n\tctx.lineJoin = \"round\";\n\tctx.beginPath();\n\tctx.moveTo(this.stroke[0].x,this.stroke[0].y);\n\tfor(t=1; t<this.stroke.length-1; t++) {\n\t\tvar s1 = this.stroke[t],\n\t\t\ts2 = this.stroke[t-1],\n\t\t\ttx = (s1.x + s2.x)/2,\n\t\t\tty = (s1.y + s2.y)/2;\n\t\tctx.quadraticCurveTo(s2.x,s2.y,tx,ty);\n\t}\n\tctx.stroke();\n};\n\nEditBitmapWidget.prototype.strokeEnd = function() {\n\t// Copy the bitmap to the off-screen canvas\n\tvar ctx = this.currCanvas.getContext(\"2d\");\n\tctx.drawImage(this.canvasDomNode,0,0);\n\t// Save the image into the tiddler\n\tthis.saveChanges();\n};\n\nEditBitmapWidget.prototype.saveChanges = function() {\n\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\tif(tiddler) {\n\t\t// data URIs look like \"data:<type>;base64,<text>\"\n\t\tvar dataURL = this.canvasDomNode.toDataURL(tiddler.fields.type,1.0),\n\t\t\tposColon = dataURL.indexOf(\":\"),\n\t\t\tposSemiColon = dataURL.indexOf(\";\"),\n\t\t\tposComma = dataURL.indexOf(\",\"),\n\t\t\ttype = dataURL.substring(posColon+1,posSemiColon),\n\t\t\ttext = dataURL.substring(posComma+1);\n\t\tvar update = {type: type, text: text};\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getModificationFields(),tiddler,update,this.wiki.getCreationFields()));\n\t}\n};\n\nexports[\"edit-bitmap\"] = EditBitmapWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/edit-bitmap.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit-text.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/edit-text.js\ntype: application/javascript\nmodule-type: widget\n\nEdit-text widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar DEFAULT_MIN_TEXT_AREA_HEIGHT = \"100px\"; // Minimum height of textareas in pixels\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditTextWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditTextWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditTextWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our element\n\tvar editInfo = this.getEditInfo(),\n\t\ttag = this.editTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"input\";\n\t}\n\tvar domNode = this.document.createElement(tag);\n\tif(this.editType) {\n\t\tdomNode.setAttribute(\"type\",this.editType);\n\t}\n\tif(editInfo.value === \"\" && this.editPlaceholder) {\n\t\tdomNode.setAttribute(\"placeholder\",this.editPlaceholder);\n\t}\n\tif(this.editSize) {\n\t\tdomNode.setAttribute(\"size\",this.editSize);\n\t}\n\tif(this.editRows) {\n\t\tdomNode.setAttribute(\"rows\",this.editRows);\n\t}\n\t// Assign classes\n\tif(this.editClass) {\n\t\tdomNode.className = this.editClass;\n\t}\n\t// Set the text\n\tif(this.editTag === \"textarea\") {\n\t\tdomNode.appendChild(this.document.createTextNode(editInfo.value));\n\t} else {\n\t\tdomNode.value = editInfo.value;\n\t}\n\t// Add an input event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"focus\", handlerObject: this, handlerMethod: \"handleFocusEvent\"},\n\t\t{name: \"input\", handlerObject: this, handlerMethod: \"handleInputEvent\"}\n\t]);\n\t// Insert the element into the DOM\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n\tif(this.postRender) {\n\t\tthis.postRender();\n\t}\n\t// Fix height\n\tthis.fixHeight();\n\t// Focus field\n\tif(this.editFocus === \"true\") {\n\t\tif(domNode.focus && domNode.select) {\n\t\t\tdomNode.focus();\n\t\t\tdomNode.select();\n\t\t}\n\t}\n};\n\n/*\nGet the tiddler being edited and current value\n*/\nEditTextWidget.prototype.getEditInfo = function() {\n\t// Get the edit value\n\tvar self = this,\n\t\tvalue,\n\t\tupdate;\n\tif(this.editIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.editTitle,this.editIndex,this.editDefault);\n\t\tupdate = function(value) {\n\t\t\tvar data = self.wiki.getTiddlerData(self.editTitle,{});\n\t\t\tif(data[self.editIndex] !== value) {\n\t\t\t\tdata[self.editIndex] = value;\n\t\t\t\tself.wiki.setTiddlerData(self.editTitle,data);\n\t\t\t}\n\t\t};\n\t} else {\n\t\t// Get the current tiddler and the field name\n\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\tif(tiddler) {\n\t\t\t// If we've got a tiddler, the value to display is the field string value\n\t\t\tvalue = tiddler.getFieldString(this.editField);\n\t\t} else {\n\t\t\t// Otherwise, we need to construct a default value for the editor\n\t\t\tswitch(this.editField) {\n\t\t\t\tcase \"text\":\n\t\t\t\t\tvalue = \"Type the text for the tiddler '\" + this.editTitle + \"'\";\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"title\":\n\t\t\t\t\tvalue = this.editTitle;\n\t\t\t\t\tbreak;\n\t\t\t\tdefault:\n\t\t\t\t\tvalue = \"\";\n\t\t\t\t\tbreak;\n\t\t\t}\n\t\t\tif(this.editDefault !== undefined) {\n\t\t\t\tvalue = this.editDefault;\n\t\t\t}\n\t\t}\n\t\tupdate = function(value) {\n\t\t\tvar tiddler = self.wiki.getTiddler(self.editTitle),\n\t\t\t\tupdateFields = {\n\t\t\t\t\ttitle: self.editTitle\n\t\t\t\t};\n\t\t\tupdateFields[self.editField] = value;\n\t\t\tself.wiki.addTiddler(new $tw.Tiddler(self.wiki.getCreationFields(),tiddler,updateFields,self.wiki.getModificationFields()));\n\t\t};\n\t}\n\treturn {value: value, update: update};\n};\n\n/*\nCompute the internal state of the widget\n*/\nEditTextWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.editField = this.getAttribute(\"field\",\"text\");\n\tthis.editIndex = this.getAttribute(\"index\");\n\tthis.editDefault = this.getAttribute(\"default\");\n\tthis.editClass = this.getAttribute(\"class\");\n\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\tthis.editSize = this.getAttribute(\"size\");\n\tthis.editRows = this.getAttribute(\"rows\");\n\tthis.editAutoHeight = this.getAttribute(\"autoHeight\",\"yes\") === \"yes\";\n\tthis.editMinHeight = this.getAttribute(\"minHeight\",DEFAULT_MIN_TEXT_AREA_HEIGHT);\n\tthis.editFocusPopup = this.getAttribute(\"focusPopup\");\n\tthis.editFocus = this.getAttribute(\"focus\");\n\t// Get the editor element tag and type\n\tvar tag,type;\n\tif(this.editField === \"text\") {\n\t\ttag = \"textarea\";\n\t} else {\n\t\ttag = \"input\";\n\t\tvar fieldModule = $tw.Tiddler.fieldModules[this.editField];\n\t\tif(fieldModule && fieldModule.editTag) {\n\t\t\ttag = fieldModule.editTag;\n\t\t}\n\t\tif(fieldModule && fieldModule.editType) {\n\t\t\ttype = fieldModule.editType;\n\t\t}\n\t\ttype = type || \"text\";\n\t}\n\t// Get the rest of our parameters\n\tthis.editTag = this.getAttribute(\"tag\",tag);\n\tthis.editType = this.getAttribute(\"type\",type);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEditTextWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Completely rerender if any of our attributes have changed\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes[\"default\"] || changedAttributes[\"class\"] || changedAttributes.placeholder || changedAttributes.size || changedAttributes.autoHeight || changedAttributes.minHeight || changedAttributes.focusPopup || changedAttributes.rows) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else if(changedTiddlers[this.editTitle]) {\n\t\tthis.updateEditor(this.getEditInfo().value);\n\t\treturn true;\n\t}\n\t// Fix the height anyway in case there has been a reflow\n\tthis.fixHeight();\n\treturn false;\n};\n\n/*\nUpdate the editor with new text. This method is separate from updateEditorDomNode()\nso that subclasses can override updateEditor() and still use updateEditorDomNode()\n*/\nEditTextWidget.prototype.updateEditor = function(text) {\n\tthis.updateEditorDomNode(text);\n};\n\n/*\nUpdate the editor dom node with new text\n*/\nEditTextWidget.prototype.updateEditorDomNode = function(text) {\n\t// Replace the edit value if the tiddler we're editing has changed\n\tvar domNode = this.domNodes[0];\n\tif(!domNode.isTiddlyWikiFakeDom) {\n\t\tif(this.document.activeElement !== domNode) {\n\t\t\tdomNode.value = text;\n\t\t}\n\t\t// Fix the height if needed\n\t\tthis.fixHeight();\n\t}\n};\n\n/*\nGet the first parent element that has scrollbars or use the body as fallback.\n*/\nEditTextWidget.prototype.getScrollContainer = function(el) {\n\twhile(el.parentNode) {\t\n\t\tel = el.parentNode;\n\t\tif(el.scrollTop) {\n\t\t\treturn el;\n\t\t}\n\t}\n\treturn this.document.body;\n};\n\n/*\nFix the height of textareas to fit their content\n*/\nEditTextWidget.prototype.fixHeight = function() {\n\tvar domNode = this.domNodes[0];\n\tif(this.editAutoHeight && domNode && !domNode.isTiddlyWikiFakeDom && this.editTag === \"textarea\") {\n\t\t// Resize the textarea to fit its content, preserving scroll position\n\t\t// Get the scroll container and register the current scroll position\n\t\tvar container = this.getScrollContainer(domNode),\n\t\t\tscrollTop = container.scrollTop;\n // Measure the specified minimum height\n\t\tdomNode.style.height = this.editMinHeight;\n\t\tvar minHeight = domNode.offsetHeight;\n\t\t// Set its height to auto so that it snaps to the correct height\n\t\tdomNode.style.height = \"auto\";\n\t\t// Calculate the revised height\n\t\tvar newHeight = Math.max(domNode.scrollHeight + domNode.offsetHeight - domNode.clientHeight,minHeight);\n\t\t// Only try to change the height if it has changed\n\t\tif(newHeight !== domNode.offsetHeight) {\n\t\t\tdomNode.style.height = newHeight + \"px\";\n\t\t\t// Make sure that the dimensions of the textarea are recalculated\n\t\t\t$tw.utils.forceLayout(domNode);\n\t\t\t// Set the container to the position we registered at the beginning\n\t\t\tcontainer.scrollTop = scrollTop;\n\t\t}\n\t}\n};\n\n/*\nHandle a dom \"input\" event\n*/\nEditTextWidget.prototype.handleInputEvent = function(event) {\n\tthis.saveChanges(this.domNodes[0].value);\n\tthis.fixHeight();\n\treturn true;\n};\n\nEditTextWidget.prototype.handleFocusEvent = function(event) {\n\tif(this.editFocusPopup) {\n\t\t$tw.popup.triggerPopup({\n\t\t\tdomNode: this.domNodes[0],\n\t\t\ttitle: this.editFocusPopup,\n\t\t\twiki: this.wiki,\n\t\t\tforce: true\n\t\t});\n\t}\n\treturn true;\n};\n\nEditTextWidget.prototype.saveChanges = function(text) {\n\tvar editInfo = this.getEditInfo();\n\tif(text !== editInfo.value) {\n\t\teditInfo.update(text);\n\t}\n};\n\nexports[\"edit-text\"] = EditTextWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/edit-text.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/edit.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/edit.js\ntype: application/javascript\nmodule-type: widget\n\nEdit widget is a meta-widget chooses the appropriate actual editting widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EditWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEditWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEditWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n// Mappings from content type to editor type are stored in tiddlers with this prefix\nvar EDITOR_MAPPING_PREFIX = \"$:/config/EditorTypeMappings/\";\n\n/*\nCompute the internal state of the widget\n*/\nEditWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.editTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.editField = this.getAttribute(\"field\",\"text\");\n\tthis.editIndex = this.getAttribute(\"index\");\n\tthis.editClass = this.getAttribute(\"class\");\n\tthis.editPlaceholder = this.getAttribute(\"placeholder\");\n\t// Choose the appropriate edit widget\n\tthis.editorType = this.getEditorType();\n\t// Make the child widgets\n\tthis.makeChildWidgets([{\n\t\ttype: \"edit-\" + this.editorType,\n\t\tattributes: {\n\t\t\ttiddler: {type: \"string\", value: this.editTitle},\n\t\t\tfield: {type: \"string\", value: this.editField},\n\t\t\tindex: {type: \"string\", value: this.editIndex},\n\t\t\t\"class\": {type: \"string\", value: this.editClass},\n\t\t\t\"placeholder\": {type: \"string\", value: this.editPlaceholder}\n\t\t}\n\t}]);\n};\n\nEditWidget.prototype.getEditorType = function() {\n\t// Get the content type of the thing we're editing\n\tvar type;\n\tif(this.editField === \"text\") {\n\t\tvar tiddler = this.wiki.getTiddler(this.editTitle);\n\t\tif(tiddler) {\n\t\t\ttype = tiddler.fields.type;\n\t\t}\n\t}\n\ttype = type || \"text/vnd.tiddlywiki\";\n\tvar editorType = this.wiki.getTiddlerText(EDITOR_MAPPING_PREFIX + type);\n\tif(!editorType) {\n\t\tvar typeInfo = $tw.config.contentTypeInfo[type];\n\t\tif(typeInfo && typeInfo.encoding === \"base64\") {\n\t\t\teditorType = \"binary\";\n\t\t} else {\n\t\t\teditorType = \"text\";\n\t\t}\n\t}\n\treturn editorType;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEditWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// Refresh if an attribute has changed, or the type associated with the target tiddler has changed\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || (changedTiddlers[this.editTitle] && this.getEditorType() !== this.editorType)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.edit = EditWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/edit.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/element.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/element.js\ntype: application/javascript\nmodule-type: widget\n\nElement widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ElementWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nElementWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nElementWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Neuter blacklisted elements\n\tvar tag = this.parseTreeNode.tag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"safe-\" + tag;\n\t}\n\tvar domNode = this.document.createElementNS(this.namespace,tag);\n\tthis.assignAttributes(domNode,{excludeEventAttributes: true});\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nElementWidget.prototype.execute = function() {\n\t// Select the namespace for the tag\n\tvar tagNamespaces = {\n\t\t\tsvg: \"http://www.w3.org/2000/svg\",\n\t\t\tmath: \"http://www.w3.org/1998/Math/MathML\",\n\t\t\tbody: \"http://www.w3.org/1999/xhtml\"\n\t\t};\n\tthis.namespace = tagNamespaces[this.parseTreeNode.tag];\n\tif(this.namespace) {\n\t\tthis.setVariable(\"namespace\",this.namespace);\n\t} else {\n\t\tthis.namespace = this.getVariable(\"namespace\",{defaultValue: \"http://www.w3.org/1999/xhtml\"});\n\t}\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nElementWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\thasChangedAttributes = $tw.utils.count(changedAttributes) > 0;\n\tif(hasChangedAttributes) {\n\t\t// Update our attributes\n\t\tthis.assignAttributes(this.domNodes[0],{excludeEventAttributes: true});\n\t}\n\treturn this.refreshChildren(changedTiddlers) || hasChangedAttributes;\n};\n\nexports.element = ElementWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/element.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/encrypt.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/encrypt.js\ntype: application/javascript\nmodule-type: widget\n\nEncrypt widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EncryptWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEncryptWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEncryptWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.encryptedText);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEncryptWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.filter = this.getAttribute(\"filter\",\"[!is[system]]\");\n\t// Encrypt the filtered tiddlers\n\tvar tiddlers = this.wiki.filterTiddlers(this.filter),\n\t\tjson = {},\n\t\tself = this;\n\t$tw.utils.each(tiddlers,function(title) {\n\t\tvar tiddler = self.wiki.getTiddler(title),\n\t\t\tjsonTiddler = {};\n\t\tfor(var f in tiddler.fields) {\n\t\t\tjsonTiddler[f] = tiddler.getFieldString(f);\n\t\t}\n\t\tjson[title] = jsonTiddler;\n\t});\n\tthis.encryptedText = $tw.utils.htmlEncode($tw.crypto.encrypt(JSON.stringify(json)));\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEncryptWidget.prototype.refresh = function(changedTiddlers) {\n\t// We don't need to worry about refreshing because the encrypt widget isn't for interactive use\n\treturn false;\n};\n\nexports.encrypt = EncryptWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/encrypt.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/entity.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/entity.js\ntype: application/javascript\nmodule-type: widget\n\nHTML entity widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar EntityWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nEntityWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nEntityWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar textNode = this.document.createTextNode($tw.utils.entityDecode(this.parseTreeNode.entity));\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nEntityWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nEntityWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.entity = EntityWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/entity.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/fieldmangler.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/fieldmangler.js\ntype: application/javascript\nmodule-type: widget\n\nField mangler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldManglerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-remove-field\", handler: \"handleRemoveFieldEvent\"},\n\t\t{type: \"tm-add-field\", handler: \"handleAddFieldEvent\"},\n\t\t{type: \"tm-remove-tag\", handler: \"handleRemoveTagEvent\"},\n\t\t{type: \"tm-add-tag\", handler: \"handleAddTagEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldManglerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldManglerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldManglerWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.mangleTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldManglerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nFieldManglerWidget.prototype.handleRemoveFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\tdeletion = {};\n\tdeletion[event.param] = undefined;\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,deletion));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddFieldEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle),\n\t\taddition = this.wiki.getModificationFields(),\n\t\thadInvalidFieldName = false,\n\t\taddField = function(name,value) {\n\t\t\tvar trimmedName = name.toLowerCase().trim();\n\t\t\tif(!$tw.utils.isValidFieldName(trimmedName)) {\n\t\t\t\tif(!hadInvalidFieldName) {\n\t\t\t\t\talert($tw.language.getString(\n\t\t\t\t\t\t\"InvalidFieldName\",\n\t\t\t\t\t\t{variables:\n\t\t\t\t\t\t\t{fieldName: trimmedName}\n\t\t\t\t\t\t}\n\t\t\t\t\t));\n\t\t\t\t\thadInvalidFieldName = true;\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif(!value && tiddler) {\n\t\t\t\t\tvalue = tiddler.fields[trimmedName];\n\t\t\t\t}\n\t\t\t\taddition[trimmedName] = value || \"\";\n\t\t\t}\n\t\t\treturn;\n\t\t};\n\taddition.title = this.mangleTitle;\n\tif(typeof event.param === \"string\") {\n\t\taddField(event.param,\"\");\n\t}\n\tif(typeof event.paramObject === \"object\") {\n\t\tfor(var name in event.paramObject) {\n\t\t\taddField(name,event.paramObject[name]);\n\t\t}\n\t}\n\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,addition));\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleRemoveTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle);\n\tif(tiddler && tiddler.fields.tags) {\n\t\tvar p = tiddler.fields.tags.indexOf(event.param);\n\t\tif(p !== -1) {\n\t\t\tvar modification = this.wiki.getModificationFields();\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\tmodification.tags.splice(p,1);\n\t\t\tif(modification.tags.length === 0) {\n\t\t\t\tmodification.tags = undefined;\n\t\t\t}\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\n\t\t}\n\t}\n\treturn true;\n};\n\nFieldManglerWidget.prototype.handleAddTagEvent = function(event) {\n\tvar tiddler = this.wiki.getTiddler(this.mangleTitle);\n\tif(tiddler && typeof event.param === \"string\") {\n\t\tvar tag = event.param.trim();\n\t\tif(tag !== \"\") {\n\t\t\tvar modification = this.wiki.getModificationFields();\n\t\t\tmodification.tags = (tiddler.fields.tags || []).slice(0);\n\t\t\t$tw.utils.pushTop(modification.tags,tag);\n\t\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,modification));\t\t\t\n\t\t}\n\t} else if(typeof event.param === \"string\" && event.param.trim() !== \"\" && this.mangleTitle.trim() !== \"\") {\n\t\tvar tag = [];\n\t\ttag.push(event.param.trim());\n\t\tthis.wiki.addTiddler({title: this.mangleTitle, tags: tag});\t\t\n\t}\n\treturn true;\n};\n\nexports.fieldmangler = FieldManglerWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/fieldmangler.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/fields.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/fields.js\ntype: application/javascript\nmodule-type: widget\n\nFields widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar FieldsWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nFieldsWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nFieldsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar textNode = this.document.createTextNode(this.text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nFieldsWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.template = this.getAttribute(\"template\");\n\tthis.exclude = this.getAttribute(\"exclude\");\n\tthis.stripTitlePrefix = this.getAttribute(\"stripTitlePrefix\",\"no\") === \"yes\";\n\t// Get the value to display\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\t// Get the exclusion list\n\tvar exclude;\n\tif(this.exclude) {\n\t\texclude = this.exclude.split(\" \");\n\t} else {\n\t\texclude = [\"text\"]; \n\t}\n\t// Compose the template\n\tvar text = [];\n\tif(this.template && tiddler) {\n\t\tvar fields = [];\n\t\tfor(var fieldName in tiddler.fields) {\n\t\t\tif(exclude.indexOf(fieldName) === -1) {\n\t\t\t\tfields.push(fieldName);\n\t\t\t}\n\t\t}\n\t\tfields.sort();\n\t\tfor(var f=0; f<fields.length; f++) {\n\t\t\tfieldName = fields[f];\n\t\t\tif(exclude.indexOf(fieldName) === -1) {\n\t\t\t\tvar row = this.template,\n\t\t\t\t\tvalue = tiddler.getFieldString(fieldName);\n\t\t\t\tif(this.stripTitlePrefix && fieldName === \"title\") {\n\t\t\t\t\tvar reStrip = /^\\{[^\\}]+\\}(.+)/mg,\n\t\t\t\t\t\treMatch = reStrip.exec(value);\n\t\t\t\t\tif(reMatch) {\n\t\t\t\t\t\tvalue = reMatch[1];\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\trow = row.replace(\"$name$\",fieldName);\n\t\t\t\trow = row.replace(\"$value$\",value);\n\t\t\t\trow = row.replace(\"$encoded_value$\",$tw.utils.htmlEncode(value));\n\t\t\t\ttext.push(row);\n\t\t\t}\n\t\t}\n\t}\n\tthis.text = text.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nFieldsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.template || changedAttributes.exclude || changedAttributes.stripTitlePrefix || changedTiddlers[this.tiddlerTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.fields = FieldsWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/fields.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/image.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/image.js\ntype: application/javascript\nmodule-type: widget\n\nThe image widget displays an image referenced with an external URI or with a local tiddler title.\n\n```\n<$image src=\"TiddlerTitle\" width=\"320\" height=\"400\" class=\"classnames\">\n```\n\nThe image source can be the title of an existing tiddler or the URL of an external image.\n\nExternal images always generate an HTML `<img>` tag.\n\nTiddlers that have a _canonical_uri field generate an HTML `<img>` tag with the src attribute containing the URI.\n\nTiddlers that contain image data generate an HTML `<img>` tag with the src attribute containing a base64 representation of the image.\n\nTiddlers that contain wikitext could be rendered to a DIV of the usual size of a tiddler, and then transformed to the size requested.\n\nThe width and height attributes are interpreted as a number of pixels, and do not need to include the \"px\" suffix.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImageWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImageWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImageWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\t// Determine what type of image it is\n\tvar tag = \"img\", src = \"\",\n\t\ttiddler = this.wiki.getTiddler(this.imageSource);\n\tif(!tiddler) {\n\t\t// The source isn't the title of a tiddler, so we'll assume it's a URL\n\t\tsrc = this.getVariable(\"tv-get-export-image-link\",{params: [{name: \"src\",value: this.imageSource}],defaultValue: this.imageSource});\n\t} else {\n\t\t// Check if it is an image tiddler\n\t\tif(this.wiki.isImageTiddler(this.imageSource)) {\n\t\t\tvar type = tiddler.fields.type,\n\t\t\t\ttext = tiddler.fields.text,\n\t\t\t\t_canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t// If the tiddler has body text then it doesn't need to be lazily loaded\n\t\t\tif(text) {\n\t\t\t\t// Render the appropriate element for the image type\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = \"data:application/pdf;base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = \"data:image/svg+xml,\" + encodeURIComponent(text);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = \"data:\" + type + \";base64,\" + text;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t} else if(_canonical_uri) {\n\t\t\t\tswitch(type) {\n\t\t\t\t\tcase \"application/pdf\":\n\t\t\t\t\t\ttag = \"embed\";\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase \"image/svg+xml\":\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tsrc = _canonical_uri;\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\t\n\t\t\t}\n\t\t}\n\t}\n\t// Create the element and assign the attributes\n\tvar domNode = this.document.createElement(tag);\n\tdomNode.setAttribute(\"src\",src);\n\tif(this.imageClass) {\n\t\tdomNode.setAttribute(\"class\",this.imageClass);\t\t\n\t}\n\tif(this.imageWidth) {\n\t\tdomNode.setAttribute(\"width\",this.imageWidth);\n\t}\n\tif(this.imageHeight) {\n\t\tdomNode.setAttribute(\"height\",this.imageHeight);\n\t}\n\tif(this.imageTooltip) {\n\t\tdomNode.setAttribute(\"title\",this.imageTooltip);\t\t\n\t}\n\tif(this.imageAlt) {\n\t\tdomNode.setAttribute(\"alt\",this.imageAlt);\t\t\n\t}\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.domNodes.push(domNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImageWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.imageSource = this.getAttribute(\"source\");\n\tthis.imageWidth = this.getAttribute(\"width\");\n\tthis.imageHeight = this.getAttribute(\"height\");\n\tthis.imageClass = this.getAttribute(\"class\");\n\tthis.imageTooltip = this.getAttribute(\"tooltip\");\n\tthis.imageAlt = this.getAttribute(\"alt\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImageWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.source || changedAttributes.width || changedAttributes.height || changedAttributes[\"class\"] || changedAttributes.tooltip || changedTiddlers[this.imageSource]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\t\n\t}\n};\n\nexports.image = ImageWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/image.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/importvariables.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/importvariables.js\ntype: application/javascript\nmodule-type: widget\n\nImport variable definitions from other tiddlers\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ImportVariablesWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nImportVariablesWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nImportVariablesWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nImportVariablesWidget.prototype.execute = function(tiddlerList) {\n\tvar self = this;\n\t// Get our parameters\n\tthis.filter = this.getAttribute(\"filter\");\n\t// Compute the filter\n\tthis.tiddlerList = tiddlerList || this.wiki.filterTiddlers(this.filter,this);\n\t// Accumulate the <$set> widgets from each tiddler\n\tvar widgetStackStart,widgetStackEnd;\n\tfunction addWidgetNode(widgetNode) {\n\t\tif(widgetNode) {\n\t\t\tif(!widgetStackStart && !widgetStackEnd) {\n\t\t\t\twidgetStackStart = widgetNode;\n\t\t\t\twidgetStackEnd = widgetNode;\n\t\t\t} else {\n\t\t\t\twidgetStackEnd.children = [widgetNode];\n\t\t\t\twidgetStackEnd = widgetNode;\n\t\t\t}\n\t\t}\n\t}\n\t$tw.utils.each(this.tiddlerList,function(title) {\n\t\tvar parser = self.wiki.parseTiddler(title);\n\t\tif(parser) {\n\t\t\tvar parseTreeNode = parser.tree[0];\n\t\t\twhile(parseTreeNode && parseTreeNode.type === \"set\") {\n\t\t\t\taddWidgetNode({\n\t\t\t\t\ttype: \"set\",\n\t\t\t\t\tattributes: parseTreeNode.attributes,\n\t\t\t\t\tparams: parseTreeNode.params\n\t\t\t\t});\n\t\t\t\tparseTreeNode = parseTreeNode.children[0];\n\t\t\t}\n\t\t} \n\t});\n\t// Add our own children to the end of the pile\n\tvar parseTreeNodes;\n\tif(widgetStackStart && widgetStackEnd) {\n\t\tparseTreeNodes = [widgetStackStart];\n\t\twidgetStackEnd.children = this.parseTreeNode.children;\n\t} else {\n\t\tparseTreeNodes = this.parseTreeNode.children;\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nImportVariablesWidget.prototype.refresh = function(changedTiddlers) {\n\t// Recompute our attributes and the filter list\n\tvar changedAttributes = this.computeAttributes(),\n\t\ttiddlerList = this.wiki.filterTiddlers(this.getAttribute(\"filter\"),this);\n\t// Refresh if the filter has changed, or the list of tiddlers has changed, or any of the tiddlers in the list has changed\n\tfunction haveListedTiddlersChanged() {\n\t\tvar changed = false;\n\t\ttiddlerList.forEach(function(title) {\n\t\t\tif(changedTiddlers[title]) {\n\t\t\t\tchanged = true;\n\t\t\t}\n\t\t});\n\t\treturn changed;\n\t}\n\tif(changedAttributes.filter || !$tw.utils.isArrayEqual(this.tiddlerList,tiddlerList) || haveListedTiddlersChanged()) {\n\t\t// Compute the filter\n\t\tthis.removeChildDomNodes();\n\t\tthis.execute(tiddlerList);\n\t\tthis.renderChildren(this.parentDomNode,this.findNextSiblingDomNode());\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.importvariables = ImportVariablesWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/importvariables.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/keyboard.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/keyboard.js\ntype: application/javascript\nmodule-type: widget\n\nKeyboard shortcut widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar KeyboardWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nKeyboardWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nKeyboardWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create element\n\tvar domNode = this.document.createElement(\"div\");\n\t// Assign classes\n\tvar classes = (this[\"class\"] || \"\").split(\" \");\n\tclasses.push(\"tc-keyboard\");\n\tdomNode.className = classes.join(\" \");\n\t// Add a keyboard event handler\n\tdomNode.addEventListener(\"keydown\",function (event) {\n\t\tif($tw.utils.checkKeyDescriptor(event,self.keyInfo)) {\n\t\t\tself.invokeActions(this,event);\n\t\t\tself.dispatchMessage(event);\n\t\t\tevent.preventDefault();\n\t\t\tevent.stopPropagation();\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t},false);\n\t// Insert element\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nKeyboardWidget.prototype.dispatchMessage = function(event) {\n\tthis.dispatchEvent({type: this.message, param: this.param, tiddlerTitle: this.getVariable(\"currentTiddler\")});\n};\n\n/*\nCompute the internal state of the widget\n*/\nKeyboardWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.message = this.getAttribute(\"message\");\n\tthis.param = this.getAttribute(\"param\");\n\tthis.key = this.getAttribute(\"key\");\n\tthis.keyInfo = $tw.utils.parseKeyDescriptor(this.key);\n\tthis[\"class\"] = this.getAttribute(\"class\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nKeyboardWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.message || changedAttributes.param || changedAttributes.key || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.keyboard = KeyboardWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/keyboard.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/link.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/link.js\ntype: application/javascript\nmodule-type: widget\n\nLink widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the value of the tv-wikilinks configuration macro\n\tvar wikiLinksMacro = this.getVariable(\"tv-wikilinks\"),\n\t\tuseWikiLinks = wikiLinksMacro ? (wikiLinksMacro.trim() !== \"no\") : true;\n\t// Render the link if required\n\tif(useWikiLinks) {\n\t\tthis.renderLink(parent,nextSibling);\n\t} else {\n\t\t// Just insert the link text\n\t\tvar domNode = this.document.createElement(\"span\");\n\t\tparent.insertBefore(domNode,nextSibling);\n\t\tthis.renderChildren(domNode,null);\n\t\tthis.domNodes.push(domNode);\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nLinkWidget.prototype.renderLink = function(parent,nextSibling) {\n\tvar self = this;\n\t// Sanitise the specified tag\n\tvar tag = this.linkTag;\n\tif($tw.config.htmlUnsafeElements.indexOf(tag) !== -1) {\n\t\ttag = \"a\";\n\t}\n\t// Create our element\n\tvar domNode = this.document.createElement(tag);\n\t// Assign classes\n\tvar classes = [];\n\tif(this.linkClasses) {\n\t\tclasses.push(this.linkClasses);\n\t}\n\tclasses.push(\"tc-tiddlylink\");\n\tif(this.isShadow) {\n\t\tclasses.push(\"tc-tiddlylink-shadow\");\n\t}\n\tif(this.isMissing && !this.isShadow) {\n\t\tclasses.push(\"tc-tiddlylink-missing\");\n\t} else {\n\t\tif(!this.isMissing) {\n\t\t\tclasses.push(\"tc-tiddlylink-resolves\");\n\t\t}\n\t}\n\tdomNode.setAttribute(\"class\",classes.join(\" \"));\n\t// Set an href\n\tvar wikiLinkTemplateMacro = this.getVariable(\"tv-wikilink-template\"),\n\t\twikiLinkTemplate = wikiLinkTemplateMacro ? wikiLinkTemplateMacro.trim() : \"#$uri_encoded$\",\n\t\twikiLinkText = wikiLinkTemplate.replace(\"$uri_encoded$\",encodeURIComponent(this.to));\n\twikiLinkText = wikiLinkText.replace(\"$uri_doubleencoded$\",encodeURIComponent(encodeURIComponent(this.to)));\n\twikiLinkText = this.getVariable(\"tv-get-export-link\",{params: [{name: \"to\",value: this.to}],defaultValue: wikiLinkText});\n\tif(tag === \"a\") {\n\t\tdomNode.setAttribute(\"href\",wikiLinkText);\n\t}\n\tif(this.tabIndex) {\n\t\tdomNode.setAttribute(\"tabindex\",this.tabIndex);\n\t}\n\t// Set the tooltip\n\t// HACK: Performance issues with re-parsing the tooltip prevent us defaulting the tooltip to \"<$transclude field='tooltip'><$transclude field='title'/></$transclude>\"\n\tvar tooltipWikiText = this.tooltip || this.getVariable(\"tv-wikilink-tooltip\");\n\tif(tooltipWikiText) {\n\t\tvar tooltipText = this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",tooltipWikiText,{\n\t\t\t\tparseAsInline: true,\n\t\t\t\tvariables: {\n\t\t\t\t\tcurrentTiddler: this.to\n\t\t\t\t},\n\t\t\t\tparentWidget: this\n\t\t\t});\n\t\tdomNode.setAttribute(\"title\",tooltipText);\n\t}\n\tif(this[\"aria-label\"]) {\n\t\tdomNode.setAttribute(\"aria-label\",this[\"aria-label\"]);\n\t}\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"click\", handlerObject: this, handlerMethod: \"handleClickEvent\"},\n\t]);\n\tif(this.draggable === \"yes\") {\n\t\t$tw.utils.addEventListeners(domNode,[\n\t\t\t{name: \"dragstart\", handlerObject: this, handlerMethod: \"handleDragStartEvent\"},\n\t\t\t{name: \"dragend\", handlerObject: this, handlerMethod: \"handleDragEndEvent\"}\n\t\t]);\n\t}\n\t// Insert the link into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nLinkWidget.prototype.handleClickEvent = function(event) {\n\t// Send the click on its way as a navigate event\n\tvar bounds = this.domNodes[0].getBoundingClientRect();\n\tthis.dispatchEvent({\n\t\ttype: \"tm-navigate\",\n\t\tnavigateTo: this.to,\n\t\tnavigateFromTitle: this.getVariable(\"storyTiddler\"),\n\t\tnavigateFromNode: this,\n\t\tnavigateFromClientRect: { top: bounds.top, left: bounds.left, width: bounds.width, right: bounds.right, bottom: bounds.bottom, height: bounds.height\n\t\t},\n\t\tnavigateSuppressNavigation: event.metaKey || event.ctrlKey || (event.button === 1)\n\t});\n\tif(this.domNodes[0].hasAttribute(\"href\")) {\n\t\tevent.preventDefault();\n\t}\n\tevent.stopPropagation();\n\treturn false;\n};\n\nLinkWidget.prototype.handleDragStartEvent = function(event) {\n\tif(event.target === this.domNodes[0]) {\n\t\tif(this.to) {\n\t\t\t$tw.dragInProgress = true;\n\t\t\t// Set the dragging class on the element being dragged\n\t\t\t$tw.utils.addClass(event.target,\"tc-tiddlylink-dragging\");\n\t\t\t// Create the drag image elements\n\t\t\tthis.dragImage = this.document.createElement(\"div\");\n\t\t\tthis.dragImage.className = \"tc-tiddler-dragger\";\n\t\t\tvar inner = this.document.createElement(\"div\");\n\t\t\tinner.className = \"tc-tiddler-dragger-inner\";\n\t\t\tinner.appendChild(this.document.createTextNode(this.to));\n\t\t\tthis.dragImage.appendChild(inner);\n\t\t\tthis.document.body.appendChild(this.dragImage);\n\t\t\t// Astoundingly, we need to cover the dragger up: http://www.kryogenix.org/code/browser/custom-drag-image.html\n\t\t\tvar cover = this.document.createElement(\"div\");\n\t\t\tcover.className = \"tc-tiddler-dragger-cover\";\n\t\t\tcover.style.left = (inner.offsetLeft - 16) + \"px\";\n\t\t\tcover.style.top = (inner.offsetTop - 16) + \"px\";\n\t\t\tcover.style.width = (inner.offsetWidth + 32) + \"px\";\n\t\t\tcover.style.height = (inner.offsetHeight + 32) + \"px\";\n\t\t\tthis.dragImage.appendChild(cover);\n\t\t\t// Set the data transfer properties\n\t\t\tvar dataTransfer = event.dataTransfer;\n\t\t\t// First the image\n\t\t\tdataTransfer.effectAllowed = \"copy\";\n\t\t\tif(dataTransfer.setDragImage) {\n\t\t\t\tdataTransfer.setDragImage(this.dragImage.firstChild,-16,-16);\n\t\t\t}\n\t\t\t// Then the data\n\t\t\tdataTransfer.clearData();\n\t\t\tvar jsonData = this.wiki.getTiddlerAsJson(this.to),\n\t\t\t\ttextData = this.wiki.getTiddlerText(this.to,\"\"),\n\t\t\t\ttitle = (new RegExp(\"^\" + $tw.config.textPrimitives.wikiLink + \"$\",\"mg\")).exec(this.to) ? this.to : \"[[\" + this.to + \"]]\";\n\t\t\t// IE doesn't like these content types\n\t\t\tif(!$tw.browser.isIE) {\n\t\t\t\tdataTransfer.setData(\"text/vnd.tiddler\",jsonData);\n\t\t\t\tdataTransfer.setData(\"text/plain\",title);\n\t\t\t\tdataTransfer.setData(\"text/x-moz-url\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\t}\n\t\t\tdataTransfer.setData(\"URL\",\"data:text/vnd.tiddler,\" + encodeURIComponent(jsonData));\n\t\t\tdataTransfer.setData(\"Text\",title);\n\t\t\tevent.stopPropagation();\n\t\t} else {\n\t\t\tevent.preventDefault();\n\t\t}\n\t}\n};\n\nLinkWidget.prototype.handleDragEndEvent = function(event) {\n\tif(event.target === this.domNodes[0]) {\n\t\t$tw.dragInProgress = false;\n\t\t// Remove the dragging class on the element being dragged\n\t\t$tw.utils.removeClass(event.target,\"tc-tiddlylink-dragging\");\n\t\t// Delete the drag image element\n\t\tif(this.dragImage) {\n\t\t\tthis.dragImage.parentNode.removeChild(this.dragImage);\n\t\t}\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkWidget.prototype.execute = function() {\n\t// Pick up our attributes\n\tthis.to = this.getAttribute(\"to\",this.getVariable(\"currentTiddler\"));\n\tthis.tooltip = this.getAttribute(\"tooltip\");\n\tthis[\"aria-label\"] = this.getAttribute(\"aria-label\");\n\tthis.linkClasses = this.getAttribute(\"class\");\n\tthis.tabIndex = this.getAttribute(\"tabindex\");\n\tthis.draggable = this.getAttribute(\"draggable\",\"yes\");\n\tthis.linkTag = this.getAttribute(\"tag\",\"a\");\n\t// Determine the link characteristics\n\tthis.isMissing = !this.wiki.tiddlerExists(this.to);\n\tthis.isShadow = this.wiki.isShadowTiddler(this.to);\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedTiddlers[this.to] || changedAttributes[\"aria-label\"] || changedAttributes.tooltip) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.link = LinkWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/link.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/linkcatcher.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/linkcatcher.js\ntype: application/javascript\nmodule-type: widget\n\nLinkcatcher widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar LinkCatcherWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nLinkCatcherWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nLinkCatcherWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nLinkCatcherWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.catchTo = this.getAttribute(\"to\");\n\tthis.catchMessage = this.getAttribute(\"message\");\n\tthis.catchSet = this.getAttribute(\"set\");\n\tthis.catchSetTo = this.getAttribute(\"setTo\");\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nLinkCatcherWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.to || changedAttributes.message || changedAttributes.set || changedAttributes.setTo) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\n/*\nHandle a tm-navigate event\n*/\nLinkCatcherWidget.prototype.handleNavigateEvent = function(event) {\n\tif(this.catchTo) {\n\t\tthis.wiki.setTextReference(this.catchTo,event.navigateTo,this.getVariable(\"currentTiddler\"));\n\t}\n\tif(this.catchMessage && this.parentWidget) {\n\t\tthis.parentWidget.dispatchEvent({\n\t\t\ttype: this.catchMessage,\n\t\t\tparam: event.navigateTo,\n\t\t\tnavigateTo: event.navigateTo\n\t\t});\n\t}\n\tif(this.catchSet) {\n\t\tvar tiddler = this.wiki.getTiddler(this.catchSet);\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(tiddler,{title: this.catchSet, text: this.catchSetTo}));\n\t}\n\treturn false;\n};\n\nexports.linkcatcher = LinkCatcherWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/linkcatcher.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/list.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/list.js\ntype: application/javascript\nmodule-type: widget\n\nList and list item widgets\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\n/*\nThe list widget creates list element sub-widgets that reach back into the list widget for their configuration\n*/\n\nvar ListWidget = function(parseTreeNode,options) {\n\t// Initialise the storyviews if they've not been done already\n\tif(!this.storyViews) {\n\t\tListWidget.prototype.storyViews = {};\n\t\t$tw.modules.applyMethods(\"storyview\",this.storyViews);\n\t}\n\t// Main initialisation inherited from widget.js\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\t// Construct the storyview\n\tvar StoryView = this.storyViews[this.storyViewName];\n\tif(StoryView && !this.document.isTiddlyWikiFakeDom) {\n\t\tthis.storyview = new StoryView(this);\n\t} else {\n\t\tthis.storyview = null;\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nListWidget.prototype.execute = function() {\n\t// Get our attributes\n\tthis.template = this.getAttribute(\"template\");\n\tthis.editTemplate = this.getAttribute(\"editTemplate\");\n\tthis.variableName = this.getAttribute(\"variable\",\"currentTiddler\");\n\tthis.storyViewName = this.getAttribute(\"storyview\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\t// Compose the list elements\n\tthis.list = this.getTiddlerList();\n\tvar members = [],\n\t\tself = this;\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\tmembers = this.getEmptyMessage();\n\t} else {\n\t\t$tw.utils.each(this.list,function(title,index) {\n\t\t\tmembers.push(self.makeItemTemplate(title));\n\t\t});\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(members);\n\t// Clear the last history\n\tthis.history = [];\n};\n\nListWidget.prototype.getTiddlerList = function() {\n\tvar defaultFilter = \"[!is[system]sort[title]]\";\n\treturn this.wiki.filterTiddlers(this.getAttribute(\"filter\",defaultFilter),this);\n};\n\nListWidget.prototype.getEmptyMessage = function() {\n\tvar emptyMessage = this.getAttribute(\"emptyMessage\",\"\"),\n\t\tparser = this.wiki.parseText(\"text/vnd.tiddlywiki\",emptyMessage,{parseAsInline: true});\n\tif(parser) {\n\t\treturn parser.tree;\n\t} else {\n\t\treturn [];\n\t}\n};\n\n/*\nCompose the template for a list item\n*/\nListWidget.prototype.makeItemTemplate = function(title) {\n\t// Check if the tiddler is a draft\n\tvar tiddler = this.wiki.getTiddler(title),\n\t\tisDraft = tiddler && tiddler.hasField(\"draft.of\"),\n\t\ttemplate = this.template,\n\t\ttemplateTree;\n\tif(isDraft && this.editTemplate) {\n\t\ttemplate = this.editTemplate;\n\t}\n\t// Compose the transclusion of the template\n\tif(template) {\n\t\ttemplateTree = [{type: \"transclude\", attributes: {tiddler: {type: \"string\", value: template}}}];\n\t} else {\n\t\tif(this.parseTreeNode.children && this.parseTreeNode.children.length > 0) {\n\t\t\ttemplateTree = this.parseTreeNode.children;\n\t\t} else {\n\t\t\t// Default template is a link to the title\n\t\t\ttemplateTree = [{type: \"element\", tag: this.parseTreeNode.isBlock ? \"div\" : \"span\", children: [{type: \"link\", attributes: {to: {type: \"string\", value: title}}, children: [\n\t\t\t\t\t{type: \"text\", text: title}\n\t\t\t]}]}];\n\t\t}\n\t}\n\t// Return the list item\n\treturn {type: \"listitem\", itemTitle: title, variableName: this.variableName, children: templateTree};\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tresult;\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshStart) {\n\t\tthis.storyview.refreshStart(changedTiddlers,changedAttributes);\n\t}\n\t// Completely refresh if any of our attributes have changed\n\tif(changedAttributes.filter || changedAttributes.template || changedAttributes.editTemplate || changedAttributes.emptyMessage || changedAttributes.storyview || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\tresult = true;\n\t} else {\n\t\t// Handle any changes to the list\n\t\tresult = this.handleListChanges(changedTiddlers);\n\t\t// Handle any changes to the history stack\n\t\tif(this.historyTitle && changedTiddlers[this.historyTitle]) {\n\t\t\tthis.handleHistoryChanges();\n\t\t}\n\t}\n\t// Call the storyview\n\tif(this.storyview && this.storyview.refreshEnd) {\n\t\tthis.storyview.refreshEnd(changedTiddlers,changedAttributes);\n\t}\n\treturn result;\n};\n\n/*\nHandle any changes to the history list\n*/\nListWidget.prototype.handleHistoryChanges = function() {\n\t// Get the history data\n\tvar newHistory = this.wiki.getTiddlerDataCached(this.historyTitle,[]);\n\t// Ignore any entries of the history that match the previous history\n\tvar entry = 0;\n\twhile(entry < newHistory.length && entry < this.history.length && newHistory[entry].title === this.history[entry].title) {\n\t\tentry++;\n\t}\n\t// Navigate forwards to each of the new tiddlers\n\twhile(entry < newHistory.length) {\n\t\tif(this.storyview && this.storyview.navigateTo) {\n\t\t\tthis.storyview.navigateTo(newHistory[entry]);\n\t\t}\n\t\tentry++;\n\t}\n\t// Update the history\n\tthis.history = newHistory;\n};\n\n/*\nProcess any changes to the list\n*/\nListWidget.prototype.handleListChanges = function(changedTiddlers) {\n\t// Get the new list\n\tvar prevList = this.list;\n\tthis.list = this.getTiddlerList();\n\t// Check for an empty list\n\tif(this.list.length === 0) {\n\t\t// Check if it was empty before\n\t\tif(prevList.length === 0) {\n\t\t\t// If so, just refresh the empty message\n\t\t\treturn this.refreshChildren(changedTiddlers);\n\t\t} else {\n\t\t\t// Replace the previous content with the empty message\n\t\t\tfor(t=this.children.length-1; t>=0; t--) {\n\t\t\t\tthis.removeListItem(t);\n\t\t\t}\n\t\t\tvar nextSibling = this.findNextSiblingDomNode();\n\t\t\tthis.makeChildWidgets(this.getEmptyMessage());\n\t\t\tthis.renderChildren(this.parentDomNode,nextSibling);\n\t\t\treturn true;\n\t\t}\n\t} else {\n\t\t// If the list was empty then we need to remove the empty message\n\t\tif(prevList.length === 0) {\n\t\t\tthis.removeChildDomNodes();\n\t\t\tthis.children = [];\n\t\t}\n\t\t// Cycle through the list, inserting and removing list items as needed\n\t\tvar hasRefreshed = false;\n\t\tfor(var t=0; t<this.list.length; t++) {\n\t\t\tvar index = this.findListItem(t,this.list[t]);\n\t\t\tif(index === undefined) {\n\t\t\t\t// The list item must be inserted\n\t\t\t\tthis.insertListItem(t,this.list[t]);\n\t\t\t\thasRefreshed = true;\n\t\t\t} else {\n\t\t\t\t// There are intervening list items that must be removed\n\t\t\t\tfor(var n=index-1; n>=t; n--) {\n\t\t\t\t\tthis.removeListItem(n);\n\t\t\t\t\thasRefreshed = true;\n\t\t\t\t}\n\t\t\t\t// Refresh the item we're reusing\n\t\t\t\tvar refreshed = this.children[t].refresh(changedTiddlers);\n\t\t\t\thasRefreshed = hasRefreshed || refreshed;\n\t\t\t}\n\t\t}\n\t\t// Remove any left over items\n\t\tfor(t=this.children.length-1; t>=this.list.length; t--) {\n\t\t\tthis.removeListItem(t);\n\t\t\thasRefreshed = true;\n\t\t}\n\t\treturn hasRefreshed;\n\t}\n};\n\n/*\nFind the list item with a given title, starting from a specified position\n*/\nListWidget.prototype.findListItem = function(startIndex,title) {\n\twhile(startIndex < this.children.length) {\n\t\tif(this.children[startIndex].parseTreeNode.itemTitle === title) {\n\t\t\treturn startIndex;\n\t\t}\n\t\tstartIndex++;\n\t}\n\treturn undefined;\n};\n\n/*\nInsert a new list item at the specified index\n*/\nListWidget.prototype.insertListItem = function(index,title) {\n\t// Create, insert and render the new child widgets\n\tvar widget = this.makeChildWidget(this.makeItemTemplate(title));\n\twidget.parentDomNode = this.parentDomNode; // Hack to enable findNextSiblingDomNode() to work\n\tthis.children.splice(index,0,widget);\n\tvar nextSibling = widget.findNextSiblingDomNode();\n\twidget.render(this.parentDomNode,nextSibling);\n\t// Animate the insertion if required\n\tif(this.storyview && this.storyview.insert) {\n\t\tthis.storyview.insert(widget);\n\t}\n\treturn true;\n};\n\n/*\nRemove the specified list item\n*/\nListWidget.prototype.removeListItem = function(index) {\n\tvar widget = this.children[index];\n\t// Animate the removal if required\n\tif(this.storyview && this.storyview.remove) {\n\t\tthis.storyview.remove(widget);\n\t} else {\n\t\twidget.removeChildDomNodes();\n\t}\n\t// Remove the child widget\n\tthis.children.splice(index,1);\n};\n\nexports.list = ListWidget;\n\nvar ListItemWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nListItemWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nListItemWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nListItemWidget.prototype.execute = function() {\n\t// Set the current list item title\n\tthis.setVariable(this.parseTreeNode.variableName,this.parseTreeNode.itemTitle);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nListItemWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.listitem = ListItemWidget;\n\n})();",
"title": "$:/core/modules/widgets/list.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/macrocall.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/macrocall.js\ntype: application/javascript\nmodule-type: widget\n\nMacrocall widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar MacroCallWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nMacroCallWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nMacroCallWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nMacroCallWidget.prototype.execute = function() {\n\t// Get the parse type if specified\n\tthis.parseType = this.getAttribute(\"$type\",\"text/vnd.tiddlywiki\");\n\tthis.renderOutput = this.getAttribute(\"$output\",\"text/html\");\n\t// Merge together the parameters specified in the parse tree with the specified attributes\n\tvar params = this.parseTreeNode.params ? this.parseTreeNode.params.slice(0) : [];\n\t$tw.utils.each(this.attributes,function(attribute,name) {\n\t\tif(name.charAt(0) !== \"$\") {\n\t\t\tparams.push({name: name, value: attribute});\t\t\t\n\t\t}\n\t});\n\t// Get the macro value\n\tvar text = this.getVariable(this.parseTreeNode.name || this.getAttribute(\"$name\"),{params: params}),\n\t\tparseTreeNodes;\n\t// Are we rendering to HTML?\n\tif(this.renderOutput === \"text/html\") {\n\t\t// If so we'll return the parsed macro\n\t\tvar parser = this.wiki.parseText(this.parseType,text,\n\t\t\t\t\t\t\t{parseAsInline: !this.parseTreeNode.isBlock});\n\t\tparseTreeNodes = parser ? parser.tree : [];\n\t} else {\n\t\t// Otherwise, we'll render the text\n\t\tvar plainText = this.wiki.renderText(\"text/plain\",this.parseType,text,{parentWidget: this});\n\t\tparseTreeNodes = [{type: \"text\", text: plainText}];\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nMacroCallWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif($tw.utils.count(changedAttributes) > 0) {\n\t\t// Rerender ourselves\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.macrocall = MacroCallWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/macrocall.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/navigator.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/navigator.js\ntype: application/javascript\nmodule-type: widget\n\nNavigator widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar IMPORT_TITLE = \"$:/Import\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar NavigatorWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.addEventListeners([\n\t\t{type: \"tm-navigate\", handler: \"handleNavigateEvent\"},\n\t\t{type: \"tm-edit-tiddler\", handler: \"handleEditTiddlerEvent\"},\n\t\t{type: \"tm-delete-tiddler\", handler: \"handleDeleteTiddlerEvent\"},\n\t\t{type: \"tm-save-tiddler\", handler: \"handleSaveTiddlerEvent\"},\n\t\t{type: \"tm-cancel-tiddler\", handler: \"handleCancelTiddlerEvent\"},\n\t\t{type: \"tm-close-tiddler\", handler: \"handleCloseTiddlerEvent\"},\n\t\t{type: \"tm-close-all-tiddlers\", handler: \"handleCloseAllTiddlersEvent\"},\n\t\t{type: \"tm-close-other-tiddlers\", handler: \"handleCloseOtherTiddlersEvent\"},\n\t\t{type: \"tm-new-tiddler\", handler: \"handleNewTiddlerEvent\"},\n\t\t{type: \"tm-import-tiddlers\", handler: \"handleImportTiddlersEvent\"},\n\t\t{type: \"tm-perform-import\", handler: \"handlePerformImportEvent\"},\n\t\t{type: \"tm-fold-tiddler\", handler: \"handleFoldTiddlerEvent\"},\n\t\t{type: \"tm-fold-other-tiddlers\", handler: \"handleFoldOtherTiddlersEvent\"},\n\t\t{type: \"tm-fold-all-tiddlers\", handler: \"handleFoldAllTiddlersEvent\"},\n\t\t{type: \"tm-unfold-all-tiddlers\", handler: \"handleUnfoldAllTiddlersEvent\"},\n\t\t{type: \"tm-rename-tiddler\", handler: \"handleRenameTiddlerEvent\"}\n\t]);\n};\n\n/*\nInherit from the base widget class\n*/\nNavigatorWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nNavigatorWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nNavigatorWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.storyTitle = this.getAttribute(\"story\");\n\tthis.historyTitle = this.getAttribute(\"history\");\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nNavigatorWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.story || changedAttributes.history) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nNavigatorWidget.prototype.getStoryList = function() {\n\treturn this.storyTitle ? this.wiki.getTiddlerList(this.storyTitle) : null;\n};\n\nNavigatorWidget.prototype.saveStoryList = function(storyList) {\n\tvar storyTiddler = this.wiki.getTiddler(this.storyTitle);\n\tthis.wiki.addTiddler(new $tw.Tiddler(\n\t\t{title: this.storyTitle},\n\t\tstoryTiddler,\n\t\t{list: storyList}\n\t));\n};\n\nNavigatorWidget.prototype.removeTitleFromStory = function(storyList,title) {\n\tvar p = storyList.indexOf(title);\n\twhile(p !== -1) {\n\t\tstoryList.splice(p,1);\n\t\tp = storyList.indexOf(title);\n\t}\n};\n\nNavigatorWidget.prototype.replaceFirstTitleInStory = function(storyList,oldTitle,newTitle) {\n\tvar pos = storyList.indexOf(oldTitle);\n\tif(pos !== -1) {\n\t\tstoryList[pos] = newTitle;\n\t\tdo {\n\t\t\tpos = storyList.indexOf(oldTitle,pos + 1);\n\t\t\tif(pos !== -1) {\n\t\t\t\tstoryList.splice(pos,1);\n\t\t\t}\n\t\t} while(pos !== -1);\n\t} else {\n\t\tstoryList.splice(0,0,newTitle);\n\t}\n};\n\nNavigatorWidget.prototype.addToStory = function(title,fromTitle) {\n\tvar storyList = this.getStoryList();\n\t// Quit if we cannot get hold of the story list\n\tif(!storyList) {\n\t\treturn;\n\t}\n\t// See if the tiddler is already there\n\tvar slot = storyList.indexOf(title);\n\t// Quit if it already exists in the story river\n\tif(slot >= 0) {\n\t\treturn;\n\t}\n\t// First we try to find the position of the story element we navigated from\n\tvar fromIndex = storyList.indexOf(fromTitle);\n\tif(fromIndex >= 0) {\n\t\t// The tiddler is added from inside the river\n\t\t// Determine where to insert the tiddler; Fallback is \"below\"\n\t\tswitch(this.getAttribute(\"openLinkFromInsideRiver\",\"below\")) {\n\t\t\tcase \"top\":\n\t\t\t\tslot = 0;\n\t\t\t\tbreak;\n\t\t\tcase \"bottom\":\n\t\t\t\tslot = storyList.length;\n\t\t\t\tbreak;\n\t\t\tcase \"above\":\n\t\t\t\tslot = fromIndex;\n\t\t\t\tbreak;\n\t\t\tcase \"below\": // Intentional fall-through\n\t\t\tdefault:\n\t\t\t\tslot = fromIndex + 1;\n\t\t\t\tbreak;\n\t\t}\n\t} else {\n\t\t// The tiddler is opened from outside the river. Determine where to insert the tiddler; default is \"top\"\n\t\tif(this.getAttribute(\"openLinkFromOutsideRiver\",\"top\") === \"bottom\") {\n\t\t\t// Insert at bottom\n\t\t\tslot = storyList.length;\n\t\t} else {\n\t\t\t// Insert at top\n\t\t\tslot = 0;\n\t\t}\n\t}\n\t// Add the tiddler\n\tstoryList.splice(slot,0,title);\n\t// Save the story\n\tthis.saveStoryList(storyList);\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\n*/\nNavigatorWidget.prototype.addToHistory = function(title,fromPageRect) {\n\tthis.wiki.addToHistory(title,fromPageRect,this.historyTitle);\n};\n\n/*\nHandle a tm-navigate event\n*/\nNavigatorWidget.prototype.handleNavigateEvent = function(event) {\n\tif(event.navigateTo) {\n\t\tthis.addToStory(event.navigateTo,event.navigateFromTitle);\n\t\tif(!event.navigateSuppressNavigation) {\n\t\t\tthis.addToHistory(event.navigateTo,event.navigateFromClientRect);\n\t\t}\n\t}\n\treturn false;\n};\n\n// Close a specified tiddler\nNavigatorWidget.prototype.handleCloseTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\tstoryList = this.getStoryList();\n\t// Look for tiddlers with this title to close\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\treturn false;\n};\n\n// Close all tiddlers\nNavigatorWidget.prototype.handleCloseAllTiddlersEvent = function(event) {\n\tthis.saveStoryList([]);\n\treturn false;\n};\n\n// Close other tiddlers\nNavigatorWidget.prototype.handleCloseOtherTiddlersEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle;\n\tthis.saveStoryList([title]);\n\treturn false;\n};\n\n// Place a tiddler in edit mode\nNavigatorWidget.prototype.handleEditTiddlerEvent = function(event) {\n\tvar self = this;\n\tfunction isUnmodifiedShadow(title) {\n\t\treturn self.wiki.isShadowTiddler(title) && !self.wiki.tiddlerExists(title);\n\t}\n\tfunction confirmEditShadow(title) {\n\t\treturn confirm($tw.language.getString(\n\t\t\t\"ConfirmEditShadowTiddler\",\n\t\t\t{variables:\n\t\t\t\t{title: title}\n\t\t\t}\n\t\t));\n\t}\n\tvar title = event.param || event.tiddlerTitle;\n\tif(isUnmodifiedShadow(title) && !confirmEditShadow(title)) {\n\t\treturn false;\n\t}\n\t// Replace the specified tiddler with a draft in edit mode\n\tvar draftTiddler = this.makeDraftTiddler(title);\n\t// Update the story and history if required\n\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\tvar draftTitle = draftTiddler.fields.title,\n\t\t\tstoryList = this.getStoryList();\n\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\tthis.saveStoryList(storyList);\n\t\treturn false;\n\t}\n};\n\n// Delete a tiddler\nNavigatorWidget.prototype.handleDeleteTiddlerEvent = function(event) {\n\t// Get the tiddler we're deleting\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList(),\n\t\toriginalTitle = tiddler ? tiddler.fields[\"draft.of\"] : \"\",\n\t\tconfirmationTitle;\n\tif(!tiddler) {\n\t\treturn false;\n\t}\n\t// Check if the tiddler we're deleting is in draft mode\n\tif(originalTitle) {\n\t\t// If so, we'll prompt for confirmation referencing the original tiddler\n\t\tconfirmationTitle = originalTitle;\n\t} else {\n\t\t// If not a draft, then prompt for confirmation referencing the specified tiddler\n\t\tconfirmationTitle = title;\n\t}\n\t// Seek confirmation\n\tif((this.wiki.getTiddler(originalTitle) || (tiddler.fields.text || \"\") !== \"\") && !confirm($tw.language.getString(\n\t\t\t\t\"ConfirmDeleteTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: confirmationTitle}\n\t\t\t\t}\n\t\t\t))) {\n\t\treturn false;\n\t}\n\t// Delete the original tiddler\n\tif(originalTitle) {\n\t\tthis.wiki.deleteTiddler(originalTitle);\n\t\tthis.removeTitleFromStory(storyList,originalTitle);\n\t}\n\t// Delete this tiddler\n\tthis.wiki.deleteTiddler(title);\n\t// Remove the closed tiddler from the story\n\tthis.removeTitleFromStory(storyList,title);\n\tthis.saveStoryList(storyList);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\treturn false;\n};\n\n/*\nCreate/reuse the draft tiddler for a given title\n*/\nNavigatorWidget.prototype.makeDraftTiddler = function(targetTitle) {\n\t// See if there is already a draft tiddler for this tiddler\n\tvar draftTitle = this.wiki.findDraft(targetTitle);\n\tif(draftTitle) {\n\t\treturn this.wiki.getTiddler(draftTitle);\n\t}\n\t// Get the current value of the tiddler we're editing\n\tvar tiddler = this.wiki.getTiddler(targetTitle);\n\t// Save the initial value of the draft tiddler\n\tdraftTitle = this.generateDraftTitle(targetTitle);\n\tvar draftTiddler = new $tw.Tiddler(\n\t\t\ttiddler,\n\t\t\t{\n\t\t\t\ttitle: draftTitle,\n\t\t\t\t\"draft.title\": targetTitle,\n\t\t\t\t\"draft.of\": targetTitle\n\t\t\t},\n\t\t\tthis.wiki.getModificationFields()\n\t\t);\n\tthis.wiki.addTiddler(draftTiddler);\n\treturn draftTiddler;\n};\n\n/*\nGenerate a title for the draft of a given tiddler\n*/\nNavigatorWidget.prototype.generateDraftTitle = function(title) {\n\tvar c = 0,\n\t\tdraftTitle;\n\tdo {\n\t\tdraftTitle = \"Draft \" + (c ? (c + 1) + \" \" : \"\") + \"of '\" + title + \"'\";\n\t\tc++;\n\t} while(this.wiki.tiddlerExists(draftTitle));\n\treturn draftTitle;\n};\n\n// Take a tiddler out of edit mode, saving the changes\nNavigatorWidget.prototype.handleSaveTiddlerEvent = function(event) {\n\tvar title = event.param || event.tiddlerTitle,\n\t\ttiddler = this.wiki.getTiddler(title),\n\t\tstoryList = this.getStoryList();\n\t// Replace the original tiddler with the draft\n\tif(tiddler) {\n\t\tvar draftTitle = (tiddler.fields[\"draft.title\"] || \"\").trim(),\n\t\t\tdraftOf = (tiddler.fields[\"draft.of\"] || \"\").trim();\n\t\tif(draftTitle) {\n\t\t\tvar isRename = draftOf !== draftTitle,\n\t\t\t\tisConfirmed = true;\n\t\t\tif(isRename && this.wiki.tiddlerExists(draftTitle)) {\n\t\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\t\"ConfirmOverwriteTiddler\",\n\t\t\t\t\t{variables:\n\t\t\t\t\t\t{title: draftTitle}\n\t\t\t\t\t}\n\t\t\t\t));\n\t\t\t}\n\t\t\tif(isConfirmed) {\n\t\t\t\t// Create the new tiddler and pass it through the th-saving-tiddler hook\n\t\t\t\tvar newTiddler = new $tw.Tiddler(this.wiki.getCreationFields(),tiddler,{\n\t\t\t\t\ttitle: draftTitle,\n\t\t\t\t\t\"draft.title\": undefined,\n\t\t\t\t\t\"draft.of\": undefined\n\t\t\t\t},this.wiki.getModificationFields());\n\t\t\t\tnewTiddler = $tw.hooks.invokeHook(\"th-saving-tiddler\",newTiddler);\n\t\t\t\tthis.wiki.addTiddler(newTiddler);\n\t\t\t\t// Remove the draft tiddler\n\t\t\t\tthis.wiki.deleteTiddler(title);\n\t\t\t\t// Remove the original tiddler if we're renaming it\n\t\t\t\tif(isRename) {\n\t\t\t\t\tthis.wiki.deleteTiddler(draftOf);\n\t\t\t\t}\n\t\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\t\t// Replace the draft in the story with the original\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,title,draftTitle);\n\t\t\t\t\tthis.addToHistory(draftTitle,event.navigateFromClientRect);\n\t\t\t\t\tif(draftTitle !== this.storyTitle) {\n\t\t\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// Trigger an autosave\n\t\t\t\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Take a tiddler out of edit mode without saving the changes\nNavigatorWidget.prototype.handleCancelTiddlerEvent = function(event) {\n\t// Flip the specified tiddler from draft back to the original\n\tvar draftTitle = event.param || event.tiddlerTitle,\n\t\tdraftTiddler = this.wiki.getTiddler(draftTitle),\n\t\toriginalTitle = draftTiddler && draftTiddler.fields[\"draft.of\"];\n\tif(draftTiddler && originalTitle) {\n\t\t// Ask for confirmation if the tiddler text has changed\n\t\tvar isConfirmed = true,\n\t\t\toriginalTiddler = this.wiki.getTiddler(originalTitle),\n\t\t\tstoryList = this.getStoryList();\n\t\tif(this.wiki.isDraftModified(draftTitle)) {\n\t\t\tisConfirmed = confirm($tw.language.getString(\n\t\t\t\t\"ConfirmCancelTiddler\",\n\t\t\t\t{variables:\n\t\t\t\t\t{title: draftTitle}\n\t\t\t\t}\n\t\t\t));\n\t\t}\n\t\t// Remove the draft tiddler\n\t\tif(isConfirmed) {\n\t\t\tthis.wiki.deleteTiddler(draftTitle);\n\t\t\tif(!event.paramObject || event.paramObject.suppressNavigation !== \"yes\") {\n\t\t\t\tif(originalTiddler) {\n\t\t\t\t\tthis.replaceFirstTitleInStory(storyList,draftTitle,originalTitle);\n\t\t\t\t\tthis.addToHistory(originalTitle,event.navigateFromClientRect);\n\t\t\t\t} else {\n\t\t\t\t\tthis.removeTitleFromStory(storyList,draftTitle);\n\t\t\t\t}\n\t\t\t\tthis.saveStoryList(storyList);\n\t\t\t}\n\t\t}\n\t}\n\treturn false;\n};\n\n// Create a new draft tiddler\n// event.param can either be the title of a template tiddler, or a hashmap of fields.\n//\n// The title of the newly created tiddler follows these rules:\n// * If a hashmap was used and a title field was specified, use that title\n// * If a hashmap was used without a title field, use a default title, if necessary making it unique with a numeric suffix\n// * If a template tiddler was used, use the title of the template, if necessary making it unique with a numeric suffix\n//\n// If a draft of the target tiddler already exists then it is reused\nNavigatorWidget.prototype.handleNewTiddlerEvent = function(event) {\n\t// Get the story details\n\tvar storyList = this.getStoryList(),\n\t\ttemplateTiddler, additionalFields, title, draftTitle, existingTiddler;\n\t// Get the template tiddler (if any)\n\tif(typeof event.param === \"string\") {\n\t\t// Get the template tiddler\n\t\ttemplateTiddler = this.wiki.getTiddler(event.param);\n\t\t// Generate a new title\n\t\ttitle = this.wiki.generateNewTitle(event.param || $tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t}\n\t// Get the specified additional fields\n\tif(typeof event.paramObject === \"object\") {\n\t\tadditionalFields = event.paramObject;\n\t}\n\tif(typeof event.param === \"object\") { // Backwards compatibility with 5.1.3\n\t\tadditionalFields = event.param;\n\t}\n\tif(additionalFields && additionalFields.title) {\n\t\ttitle = additionalFields.title;\n\t}\n\t// Generate a title if we don't have one\n\ttitle = title || this.wiki.generateNewTitle($tw.language.getString(\"DefaultNewTiddlerTitle\"));\n\t// Find any existing draft for this tiddler\n\tdraftTitle = this.wiki.findDraft(title);\n\t// Pull in any existing tiddler\n\tif(draftTitle) {\n\t\texistingTiddler = this.wiki.getTiddler(draftTitle);\n\t} else {\n\t\tdraftTitle = this.generateDraftTitle(title);\n\t\texistingTiddler = this.wiki.getTiddler(title);\n\t}\n\t// Merge the tags\n\tvar mergedTags = [];\n\tif(existingTiddler && existingTiddler.fields.tags) {\n\t\t$tw.utils.pushTop(mergedTags,existingTiddler.fields.tags)\n\t}\n\tif(additionalFields && additionalFields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,$tw.utils.parseStringArray(additionalFields.tags));\n\t}\n\tif(templateTiddler && templateTiddler.fields.tags) {\n\t\t// Merge tags\n\t\tmergedTags = $tw.utils.pushTop(mergedTags,templateTiddler.fields.tags);\n\t}\n\t// Save the draft tiddler\n\tvar draftTiddler = new $tw.Tiddler({\n\t\t\ttext: \"\",\n\t\t\t\"draft.title\": title\n\t\t},\n\t\ttemplateTiddler,\n\t\texistingTiddler,\n\t\tadditionalFields,\n\t\tthis.wiki.getCreationFields(),\n\t\t{\n\t\t\ttitle: draftTitle,\n\t\t\t\"draft.of\": title,\n\t\t\ttags: mergedTags\n\t\t},this.wiki.getModificationFields());\n\tthis.wiki.addTiddler(draftTiddler);\n\t// Update the story to insert the new draft at the top and remove any existing tiddler\n\tif(storyList.indexOf(draftTitle) === -1) {\n\t\tvar slot = storyList.indexOf(event.navigateFromTitle);\n\t\tstoryList.splice(slot + 1,0,draftTitle);\n\t}\n\tif(storyList.indexOf(title) !== -1) {\n\t\tstoryList.splice(storyList.indexOf(title),1);\t\t\n\t}\n\tthis.saveStoryList(storyList);\n\t// Add a new record to the top of the history stack\n\tthis.addToHistory(draftTitle);\n\treturn false;\n};\n\n// Import JSON tiddlers into a pending import tiddler\nNavigatorWidget.prototype.handleImportTiddlersEvent = function(event) {\n\tvar self = this;\n\t// Get the tiddlers\n\tvar tiddlers = [];\n\ttry {\n\t\ttiddlers = JSON.parse(event.param);\t\n\t} catch(e) {\n\t}\n\t// Get the current $:/Import tiddler\n\tvar importTiddler = this.wiki.getTiddler(IMPORT_TITLE),\n\t\timportData = this.wiki.getTiddlerData(IMPORT_TITLE,{}),\n\t\tnewFields = new Object({\n\t\t\ttitle: IMPORT_TITLE,\n\t\t\ttype: \"application/json\",\n\t\t\t\"plugin-type\": \"import\",\n\t\t\t\"status\": \"pending\"\n\t\t}),\n\t\tincomingTiddlers = [];\n\t// Process each tiddler\n\timportData.tiddlers = importData.tiddlers || {};\n\t$tw.utils.each(tiddlers,function(tiddlerFields) {\n\t\tvar title = tiddlerFields.title;\n\t\tif(title) {\n\t\t\tincomingTiddlers.push(title);\n\t\t\timportData.tiddlers[title] = tiddlerFields;\n\t\t}\n\t});\n\t// Give the active upgrader modules a chance to process the incoming tiddlers\n\tvar messages = this.wiki.invokeUpgraders(incomingTiddlers,importData.tiddlers);\n\t$tw.utils.each(messages,function(message,title) {\n\t\tnewFields[\"message-\" + title] = message;\n\t});\n\t// Deselect any suppressed tiddlers\n\t$tw.utils.each(importData.tiddlers,function(tiddler,title) {\n\t\tif($tw.utils.count(tiddler) === 0) {\n\t\t\tnewFields[\"selection-\" + title] = \"unchecked\";\n\t\t}\n\t});\n\t// Save the $:/Import tiddler\n\tnewFields.text = JSON.stringify(importData,null,$tw.config.preferences.jsonSpaces);\n\tthis.wiki.addTiddler(new $tw.Tiddler(importTiddler,newFields));\n\t// Update the story and history details\n\tif(this.getVariable(\"tv-auto-open-on-import\") !== \"no\") {\n\t\tvar storyList = this.getStoryList(),\n\t\t\thistory = [];\n\t\t// Add it to the story\n\t\tif(storyList.indexOf(IMPORT_TITLE) === -1) {\n\t\t\tstoryList.unshift(IMPORT_TITLE);\n\t\t}\n\t\t// And to history\n\t\thistory.push(IMPORT_TITLE);\n\t\t// Save the updated story and history\n\t\tthis.saveStoryList(storyList);\n\t\tthis.addToHistory(history);\t\t\n\t}\n\treturn false;\n};\n\n// \nNavigatorWidget.prototype.handlePerformImportEvent = function(event) {\n\tvar self = this,\n\t\timportTiddler = this.wiki.getTiddler(event.param),\n\t\timportData = this.wiki.getTiddlerDataCached(event.param,{tiddlers: {}}),\n\t\timportReport = [];\n\t// Add the tiddlers to the store\n\timportReport.push($tw.language.getString(\"Import/Imported\") + \"\\n\");\n\t$tw.utils.each(importData.tiddlers,function(tiddlerFields) {\n\t\tvar title = tiddlerFields.title;\n\t\tif(title && importTiddler && importTiddler.fields[\"selection-\" + title] !== \"unchecked\") {\n\t\t\tself.wiki.addTiddler(new $tw.Tiddler(tiddlerFields));\n\t\t\timportReport.push(\"# [[\" + tiddlerFields.title + \"]]\");\n\t\t}\n\t});\n\t// Replace the $:/Import tiddler with an import report\n\tthis.wiki.addTiddler(new $tw.Tiddler({\n\t\ttitle: event.param,\n\t\ttext: importReport.join(\"\\n\"),\n\t\t\"status\": \"complete\"\n\t}));\n\t// Navigate to the $:/Import tiddler\n\tthis.addToHistory([event.param]);\n\t// Trigger an autosave\n\t$tw.rootWidget.dispatchEvent({type: \"tm-auto-save-wiki\"});\n};\n\nNavigatorWidget.prototype.handleFoldTiddlerEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {};\n\tif(paramObject.foldedState) {\n\t\tvar foldedState = this.wiki.getTiddlerText(paramObject.foldedState,\"show\") === \"show\" ? \"hide\" : \"show\";\n\t\tthis.wiki.setText(paramObject.foldedState,\"text\",null,foldedState);\n\t}\n};\n\nNavigatorWidget.prototype.handleFoldOtherTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,event.param === title ? \"show\" : \"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleFoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"hide\");\n\t});\n};\n\nNavigatorWidget.prototype.handleUnfoldAllTiddlersEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tprefix = paramObject.foldedStatePrefix;\n\t$tw.utils.each(this.getStoryList(),function(title) {\n\t\tself.wiki.setText(prefix + title,\"text\",null,\"show\");\n\t});\n};\n\nNavigatorWidget.prototype.handleRenameTiddlerEvent = function(event) {\n\tvar self = this,\n\t\tparamObject = event.paramObject || {},\n\t\tfrom = paramObject.from || event.tiddlerTitle,\n\t\tto = paramObject.to;\n\t$tw.wiki.renameTiddler(from,to);\n};\n\nexports.navigator = NavigatorWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/navigator.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/password.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/password.js\ntype: application/javascript\nmodule-type: widget\n\nPassword widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar PasswordWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nPasswordWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nPasswordWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Get the current password\n\tvar password = $tw.browser ? $tw.utils.getPassword(this.passwordName) || \"\" : \"\";\n\t// Create our element\n\tvar domNode = this.document.createElement(\"input\");\n\tdomNode.setAttribute(\"type\",\"password\");\n\tdomNode.setAttribute(\"value\",password);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(domNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tthis.domNodes.push(domNode);\n};\n\nPasswordWidget.prototype.handleChangeEvent = function(event) {\n\tvar password = this.domNodes[0].value;\n\treturn $tw.utils.savePassword(this.passwordName,password);\n};\n\n/*\nCompute the internal state of the widget\n*/\nPasswordWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.passwordName = this.getAttribute(\"name\",\"\");\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nPasswordWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.password = PasswordWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/password.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/radio.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/radio.js\ntype: application/javascript\nmodule-type: widget\n\nRadio widget\n\nWill set a field to the selected value:\n\n```\n\t<$radio field=\"myfield\" value=\"check 1\">one</$radio>\n\t<$radio field=\"myfield\" value=\"check 2\">two</$radio>\n\t<$radio field=\"myfield\" value=\"check 3\">three</$radio>\n```\n\n|Parameter |Description |h\n|tiddler |Name of the tiddler in which the field should be set. Defaults to current tiddler |\n|field |The name of the field to be set |\n|value |The value to set |\n|class |Optional class name(s) |\n\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RadioWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRadioWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRadioWidget.prototype.render = function(parent,nextSibling) {\n\t// Save the parent dom node\n\tthis.parentDomNode = parent;\n\t// Compute our attributes\n\tthis.computeAttributes();\n\t// Execute our logic\n\tthis.execute();\n\t// Create our elements\n\tthis.labelDomNode = this.document.createElement(\"label\");\n\tthis.labelDomNode.setAttribute(\"class\",this.radioClass);\n\tthis.inputDomNode = this.document.createElement(\"input\");\n\tthis.inputDomNode.setAttribute(\"type\",\"radio\");\n\tif(this.getValue() == this.radioValue) {\n\t\tthis.inputDomNode.setAttribute(\"checked\",\"true\");\n\t}\n\tthis.labelDomNode.appendChild(this.inputDomNode);\n\tthis.spanDomNode = this.document.createElement(\"span\");\n\tthis.labelDomNode.appendChild(this.spanDomNode);\n\t// Add a click event handler\n\t$tw.utils.addEventListeners(this.inputDomNode,[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n\t// Insert the label into the DOM and render any children\n\tparent.insertBefore(this.labelDomNode,nextSibling);\n\tthis.renderChildren(this.spanDomNode,null);\n\tthis.domNodes.push(this.labelDomNode);\n};\n\nRadioWidget.prototype.getValue = function() {\n\tvar tiddler = this.wiki.getTiddler(this.radioTitle);\n\treturn tiddler && tiddler.getFieldString(this.radioField);\n};\n\nRadioWidget.prototype.setValue = function() {\n\tif(this.radioField) {\n\t\tvar tiddler = this.wiki.getTiddler(this.radioTitle),\n\t\t\taddition = {};\n\t\taddition[this.radioField] = this.radioValue;\n\t\tthis.wiki.addTiddler(new $tw.Tiddler(this.wiki.getCreationFields(),{title: this.radioTitle},tiddler,addition,this.wiki.getModificationFields()));\n\t}\n};\n\nRadioWidget.prototype.handleChangeEvent = function(event) {\n\tif(this.inputDomNode.checked) {\n\t\tthis.setValue();\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRadioWidget.prototype.execute = function() {\n\t// Get the parameters from the attributes\n\tthis.radioTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.radioField = this.getAttribute(\"field\",\"text\");\n\tthis.radioValue = this.getAttribute(\"value\");\n\tthis.radioClass = this.getAttribute(\"class\",\"\");\n\tif(this.radioClass !== \"\") {\n\t\tthis.radioClass += \" \";\n\t}\n\tthis.radioClass += \"tc-radio\";\n\t// Make the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRadioWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.value || changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false;\n\t\tif(changedTiddlers[this.radioTitle]) {\n\t\t\tthis.inputDomNode.checked = this.getValue() === this.radioValue;\n\t\t\trefreshed = true;\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\nexports.radio = RadioWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/radio.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/raw.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/raw.js\ntype: application/javascript\nmodule-type: widget\n\nRaw widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RawWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRawWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRawWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tvar div = this.document.createElement(\"div\");\n\tdiv.innerHTML=this.parseTreeNode.html;\n\tparent.insertBefore(div,nextSibling);\n\tthis.domNodes.push(div);\t\n};\n\n/*\nCompute the internal state of the widget\n*/\nRawWidget.prototype.execute = function() {\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRawWidget.prototype.refresh = function(changedTiddlers) {\n\treturn false;\n};\n\nexports.raw = RawWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/raw.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/reveal.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/reveal.js\ntype: application/javascript\nmodule-type: widget\n\nReveal widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar RevealWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nRevealWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nRevealWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar tag = this.parseTreeNode.isBlock ? \"div\" : \"span\";\n\tif(this.revealTag && $tw.config.htmlUnsafeElements.indexOf(this.revealTag) === -1) {\n\t\ttag = this.revealTag;\n\t}\n\tvar domNode = this.document.createElement(tag);\n\tvar classes = this[\"class\"].split(\" \") || [];\n\tclasses.push(\"tc-reveal\");\n\tdomNode.className = classes.join(\" \");\n\tif(this.style) {\n\t\tdomNode.setAttribute(\"style\",this.style);\n\t}\n\tparent.insertBefore(domNode,nextSibling);\n\tthis.renderChildren(domNode,null);\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\t}\n\tif(!this.isOpen) {\n\t\tdomNode.setAttribute(\"hidden\",\"true\");\n\t}\n\tthis.domNodes.push(domNode);\n};\n\nRevealWidget.prototype.positionPopup = function(domNode) {\n\tdomNode.style.position = \"absolute\";\n\tdomNode.style.zIndex = \"1000\";\n\tswitch(this.position) {\n\t\tcase \"left\":\n\t\t\tdomNode.style.left = (this.popup.left - domNode.offsetWidth) + \"px\";\n\t\t\tdomNode.style.top = this.popup.top + \"px\";\n\t\t\tbreak;\n\t\tcase \"above\":\n\t\t\tdomNode.style.left = this.popup.left + \"px\";\n\t\t\tdomNode.style.top = (this.popup.top - domNode.offsetHeight) + \"px\";\n\t\t\tbreak;\n\t\tcase \"aboveright\":\n\t\t\tdomNode.style.left = (this.popup.left + this.popup.width) + \"px\";\n\t\t\tdomNode.style.top = (this.popup.top + this.popup.height - domNode.offsetHeight) + \"px\";\n\t\t\tbreak;\n\t\tcase \"right\":\n\t\t\tdomNode.style.left = (this.popup.left + this.popup.width) + \"px\";\n\t\t\tdomNode.style.top = this.popup.top + \"px\";\n\t\t\tbreak;\n\t\tcase \"belowleft\":\n\t\t\tdomNode.style.left = (this.popup.left + this.popup.width - domNode.offsetWidth) + \"px\";\n\t\t\tdomNode.style.top = (this.popup.top + this.popup.height) + \"px\";\n\t\t\tbreak;\n\t\tdefault: // Below\n\t\t\tdomNode.style.left = this.popup.left + \"px\";\n\t\t\tdomNode.style.top = (this.popup.top + this.popup.height) + \"px\";\n\t\t\tbreak;\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nRevealWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.state = this.getAttribute(\"state\");\n\tthis.revealTag = this.getAttribute(\"tag\");\n\tthis.type = this.getAttribute(\"type\");\n\tthis.text = this.getAttribute(\"text\");\n\tthis.position = this.getAttribute(\"position\");\n\tthis[\"class\"] = this.getAttribute(\"class\",\"\");\n\tthis.style = this.getAttribute(\"style\",\"\");\n\tthis[\"default\"] = this.getAttribute(\"default\",\"\");\n\tthis.animate = this.getAttribute(\"animate\",\"no\");\n\tthis.retain = this.getAttribute(\"retain\",\"no\");\n\tthis.openAnimation = this.animate === \"no\" ? undefined : \"open\";\n\tthis.closeAnimation = this.animate === \"no\" ? undefined : \"close\";\n\t// Compute the title of the state tiddler and read it\n\tthis.stateTitle = this.state;\n\tthis.readState();\n\t// Construct the child widgets\n\tvar childNodes = this.isOpen ? this.parseTreeNode.children : [];\n\tthis.hasChildNodes = this.isOpen;\n\tthis.makeChildWidgets(childNodes);\n};\n\n/*\nRead the state tiddler\n*/\nRevealWidget.prototype.readState = function() {\n\t// Read the information from the state tiddler\n\tvar state = this.stateTitle ? this.wiki.getTextReference(this.stateTitle,this[\"default\"],this.getVariable(\"currentTiddler\")) : this[\"default\"];\n\tswitch(this.type) {\n\t\tcase \"popup\":\n\t\t\tthis.readPopupState(state);\n\t\t\tbreak;\n\t\tcase \"match\":\n\t\t\tthis.readMatchState(state);\n\t\t\tbreak;\n\t\tcase \"nomatch\":\n\t\t\tthis.readMatchState(state);\n\t\t\tthis.isOpen = !this.isOpen;\n\t\t\tbreak;\n\t}\n};\n\nRevealWidget.prototype.readMatchState = function(state) {\n\tthis.isOpen = state === this.text;\n};\n\nRevealWidget.prototype.readPopupState = function(state) {\n\tvar popupLocationRegExp = /^\\((-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+),(-?[0-9\\.E]+)\\)$/,\n\t\tmatch = popupLocationRegExp.exec(state);\n\t// Check if the state matches the location regexp\n\tif(match) {\n\t\t// If so, we're open\n\t\tthis.isOpen = true;\n\t\t// Get the location\n\t\tthis.popup = {\n\t\t\tleft: parseFloat(match[1]),\n\t\t\ttop: parseFloat(match[2]),\n\t\t\twidth: parseFloat(match[3]),\n\t\t\theight: parseFloat(match[4])\n\t\t};\n\t} else {\n\t\t// If not, we're closed\n\t\tthis.isOpen = false;\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nRevealWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.state || changedAttributes.type || changedAttributes.text || changedAttributes.position || changedAttributes[\"default\"] || changedAttributes.animate) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\tvar refreshed = false,\n\t\t\tcurrentlyOpen = this.isOpen;\n\t\tthis.readState();\n\t\tif(this.isOpen !== currentlyOpen) {\n\t\t\tif(this.retain === \"yes\") {\n\t\t\t\tthis.updateState();\n\t\t\t} else {\n\t\t\t\tthis.refreshSelf();\n\t\t\t\trefreshed = true;\n\t\t\t}\n\t\t}\n\t\treturn this.refreshChildren(changedTiddlers) || refreshed;\n\t}\n};\n\n/*\nCalled by refresh() to dynamically show or hide the content\n*/\nRevealWidget.prototype.updateState = function() {\n\t// Read the current state\n\tthis.readState();\n\t// Construct the child nodes if needed\n\tvar domNode = this.domNodes[0];\n\tif(this.isOpen && !this.hasChildNodes) {\n\t\tthis.hasChildNodes = true;\n\t\tthis.makeChildWidgets(this.parseTreeNode.children);\n\t\tthis.renderChildren(domNode,null);\n\t}\n\t// Animate our DOM node\n\tif(!domNode.isTiddlyWikiFakeDom && this.type === \"popup\" && this.isOpen) {\n\t\tthis.positionPopup(domNode);\n\t\t$tw.utils.addClass(domNode,\"tc-popup\"); // Make sure that clicks don't dismiss popups within the revealed content\n\n\t}\n\tif(this.isOpen) {\n\t\tdomNode.removeAttribute(\"hidden\");\n $tw.anim.perform(this.openAnimation,domNode);\n\t} else {\n\t\t$tw.anim.perform(this.closeAnimation,domNode,{callback: function() {\n\t\t\tdomNode.setAttribute(\"hidden\",\"true\");\n }});\n\t}\n};\n\nexports.reveal = RevealWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/reveal.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/scrollable.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/scrollable.js\ntype: application/javascript\nmodule-type: widget\n\nScrollable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ScrollableWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n\tthis.scaleFactor = 1;\n\tthis.addEventListeners([\n\t\t{type: \"tm-scroll\", handler: \"handleScrollEvent\"}\n\t]);\n\tif($tw.browser) {\n\t\tthis.requestAnimationFrame = window.requestAnimationFrame ||\n\t\t\twindow.webkitRequestAnimationFrame ||\n\t\t\twindow.mozRequestAnimationFrame ||\n\t\t\tfunction(callback) {\n\t\t\t\treturn window.setTimeout(callback, 1000/60);\n\t\t\t};\n\t\tthis.cancelAnimationFrame = window.cancelAnimationFrame ||\n\t\t\twindow.webkitCancelAnimationFrame ||\n\t\t\twindow.webkitCancelRequestAnimationFrame ||\n\t\t\twindow.mozCancelAnimationFrame ||\n\t\t\twindow.mozCancelRequestAnimationFrame ||\n\t\t\tfunction(id) {\n\t\t\t\twindow.clearTimeout(id);\n\t\t\t};\n\t}\n};\n\n/*\nInherit from the base widget class\n*/\nScrollableWidget.prototype = new Widget();\n\nScrollableWidget.prototype.cancelScroll = function() {\n\tif(this.idRequestFrame) {\n\t\tthis.cancelAnimationFrame.call(window,this.idRequestFrame);\n\t\tthis.idRequestFrame = null;\n\t}\n};\n\n/*\nHandle a scroll event\n*/\nScrollableWidget.prototype.handleScrollEvent = function(event) {\n\t// Pass the scroll event through if our offsetsize is larger than our scrollsize\n\tif(this.outerDomNode.scrollWidth <= this.outerDomNode.offsetWidth && this.outerDomNode.scrollHeight <= this.outerDomNode.offsetHeight && this.fallthrough === \"yes\") {\n\t\treturn true;\n\t}\n\tthis.scrollIntoView(event.target);\n\treturn false; // Handled event\n};\n\n/*\nScroll an element into view\n*/\nScrollableWidget.prototype.scrollIntoView = function(element) {\n\tvar duration = $tw.utils.getAnimationDuration();\n\tthis.cancelScroll();\n\tthis.startTime = Date.now();\n\tvar scrollPosition = {\n\t\tx: this.outerDomNode.scrollLeft,\n\t\ty: this.outerDomNode.scrollTop\n\t};\n\t// Get the client bounds of the element and adjust by the scroll position\n\tvar scrollableBounds = this.outerDomNode.getBoundingClientRect(),\n\t\tclientTargetBounds = element.getBoundingClientRect(),\n\t\tbounds = {\n\t\t\tleft: clientTargetBounds.left + scrollPosition.x - scrollableBounds.left,\n\t\t\ttop: clientTargetBounds.top + scrollPosition.y - scrollableBounds.top,\n\t\t\twidth: clientTargetBounds.width,\n\t\t\theight: clientTargetBounds.height\n\t\t};\n\t// We'll consider the horizontal and vertical scroll directions separately via this function\n\tvar getEndPos = function(targetPos,targetSize,currentPos,currentSize) {\n\t\t\t// If the target is already visible then stay where we are\n\t\t\tif(targetPos >= currentPos && (targetPos + targetSize) <= (currentPos + currentSize)) {\n\t\t\t\treturn currentPos;\n\t\t\t// If the target is above/left of the current view, then scroll to its top/left\n\t\t\t} else if(targetPos <= currentPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// If the target is smaller than the window and the scroll position is too far up, then scroll till the target is at the bottom of the window\n\t\t\t} else if(targetSize < currentSize && currentPos < (targetPos + targetSize - currentSize)) {\n\t\t\t\treturn targetPos + targetSize - currentSize;\n\t\t\t// If the target is big, then just scroll to the top\n\t\t\t} else if(currentPos < targetPos) {\n\t\t\t\treturn targetPos;\n\t\t\t// Otherwise, stay where we are\n\t\t\t} else {\n\t\t\t\treturn currentPos;\n\t\t\t}\n\t\t},\n\t\tendX = getEndPos(bounds.left,bounds.width,scrollPosition.x,this.outerDomNode.offsetWidth),\n\t\tendY = getEndPos(bounds.top,bounds.height,scrollPosition.y,this.outerDomNode.offsetHeight);\n\t// Only scroll if necessary\n\tif(endX !== scrollPosition.x || endY !== scrollPosition.y) {\n\t\tvar self = this,\n\t\t\tdrawFrame;\n\t\tdrawFrame = function () {\n\t\t\tvar t;\n\t\t\tif(duration <= 0) {\n\t\t\t\tt = 1;\n\t\t\t} else {\n\t\t\t\tt = ((Date.now()) - self.startTime) / duration;\t\n\t\t\t}\n\t\t\tif(t >= 1) {\n\t\t\t\tself.cancelScroll();\n\t\t\t\tt = 1;\n\t\t\t}\n\t\t\tt = $tw.utils.slowInSlowOut(t);\n\t\t\tself.outerDomNode.scrollLeft = scrollPosition.x + (endX - scrollPosition.x) * t;\n\t\t\tself.outerDomNode.scrollTop = scrollPosition.y + (endY - scrollPosition.y) * t;\n\t\t\tif(t < 1) {\n\t\t\t\tself.idRequestFrame = self.requestAnimationFrame.call(window,drawFrame);\n\t\t\t}\n\t\t};\n\t\tdrawFrame();\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nScrollableWidget.prototype.render = function(parent,nextSibling) {\n\tvar self = this;\n\t// Remember parent\n\tthis.parentDomNode = parent;\n\t// Compute attributes and execute state\n\tthis.computeAttributes();\n\tthis.execute();\n\t// Create elements\n\tthis.outerDomNode = this.document.createElement(\"div\");\n\t$tw.utils.setStyle(this.outerDomNode,[\n\t\t{overflowY: \"auto\"},\n\t\t{overflowX: \"auto\"},\n\t\t{webkitOverflowScrolling: \"touch\"}\n\t]);\n\tthis.innerDomNode = this.document.createElement(\"div\");\n\tthis.outerDomNode.appendChild(this.innerDomNode);\n\t// Assign classes\n\tthis.outerDomNode.className = this[\"class\"] || \"\";\n\t// Insert element\n\tparent.insertBefore(this.outerDomNode,nextSibling);\n\tthis.renderChildren(this.innerDomNode,null);\n\tthis.domNodes.push(this.outerDomNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nScrollableWidget.prototype.execute = function() {\n\t// Get attributes\n\tthis.fallthrough = this.getAttribute(\"fallthrough\",\"yes\");\n\tthis[\"class\"] = this.getAttribute(\"class\");\n\t// Make child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nScrollableWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes[\"class\"]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports.scrollable = ScrollableWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/scrollable.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/select.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/select.js\ntype: application/javascript\nmodule-type: widget\n\nSelect widget:\n\n```\n<$select tiddler=\"MyTiddler\" field=\"text\">\n<$list filter=\"[tag[chapter]]\">\n<option value=<<currentTiddler>>>\n<$view field=\"description\"/>\n</option>\n</$list>\n</$select>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SelectWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSelectWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSelectWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n\tthis.setSelectValue();\n\t$tw.utils.addEventListeners(this.getSelectDomNode(),[\n\t\t{name: \"change\", handlerObject: this, handlerMethod: \"handleChangeEvent\"}\n\t]);\n};\n\n/*\nHandle a change event\n*/\nSelectWidget.prototype.handleChangeEvent = function(event) {\n\tif(this.selectMultiple == false) {\n\t\tvar value = this.getSelectDomNode().value;\n\t} else {\n\t\tvar value = this.getSelectValues()\n\t\t\t\tvalue = $tw.utils.stringifyList(value);\n\t}\n\tthis.wiki.setText(this.selectTitle,this.selectField,this.selectIndex,value);\n};\n\n/*\nIf necessary, set the value of the select element to the current value\n*/\nSelectWidget.prototype.setSelectValue = function() {\n\tvar value = this.selectDefault;\n\t// Get the value\n\tif(this.selectIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.selectTitle,this.selectIndex);\n\t} else {\n\t\tvar tiddler = this.wiki.getTiddler(this.selectTitle);\n\t\tif(tiddler) {\n\t\t\tif(this.selectField === \"text\") {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.selectTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.selectField)) {\n\t\t\t\t\tvalue = tiddler.getFieldString(this.selectField);\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.selectField === \"title\") {\n\t\t\t\tvalue = this.selectTitle;\n\t\t\t}\n\t\t}\n\t}\n\t// Assign it to the select element if it's different than the current value\n\tif (this.selectMultiple) {\n\t\tvalue = value === undefined ? \"\" : value;\n\t\tvar select = this.getSelectDomNode();\n\t\tvar values = Array.isArray(value) ? value : $tw.utils.parseStringArray(value);\n\t\tfor(var i=0; i < select.children.length; i++){\n\t\t\tif(values.indexOf(select.children[i].value) != -1) {\n\t\t\t\tselect.children[i].selected = true;\n\t\t\t}\n\t\t}\n\t\t\n\t} else {\n\t\tvar domNode = this.getSelectDomNode();\n\t\tif(domNode.value !== value) {\n\t\t\tdomNode.value = value;\n\t\t}\n\t}\n};\n\n/*\nGet the DOM node of the select element\n*/\nSelectWidget.prototype.getSelectDomNode = function() {\n\treturn this.children[0].domNodes[0];\n};\n\n// Return an array of the selected opion values\n// select is an HTML select element\nSelectWidget.prototype.getSelectValues = function() {\n\tvar select, result, options, opt;\n\tselect = this.getSelectDomNode();\n\tresult = [];\n\toptions = select && select.options;\n\tfor (var i=0; i<options.length; i++) {\n\t\topt = options[i];\n\t\tif (opt.selected) {\n\t\t\tresult.push(opt.value || opt.text);\n\t\t}\n\t}\n\treturn result;\n}\n\n/*\nCompute the internal state of the widget\n*/\nSelectWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.selectTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.selectField = this.getAttribute(\"field\",\"text\");\n\tthis.selectIndex = this.getAttribute(\"index\");\n\tthis.selectClass = this.getAttribute(\"class\");\n\tthis.selectDefault = this.getAttribute(\"default\");\n\tthis.selectMultiple = this.getAttribute(\"multiple\", false);\n\tthis.selectSize = this.getAttribute(\"size\");\n\t// Make the child widgets\n\tvar selectNode = {\n\t\ttype: \"element\",\n\t\ttag: \"select\",\n\t\tchildren: this.parseTreeNode.children\n\t};\n\tif(this.selectClass) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"class\",this.selectClass);\n\t}\n\tif(this.selectMultiple) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"multiple\",\"multiple\");\n\t}\n\tif(this.selectSize) {\n\t\t$tw.utils.addAttributeToParseTreeNode(selectNode,\"size\",this.selectSize);\n\t}\n\tthis.makeChildWidgets([selectNode]);\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSelectWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\t// If we're using a different tiddler/field/index then completely refresh ourselves\n\tif(changedAttributes.selectTitle || changedAttributes.selectField || changedAttributes.selectIndex) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t// If the target tiddler value has changed, just update setting and refresh the children\n\t} else {\n\t\tvar childrenRefreshed = this.refreshChildren(changedTiddlers);\n\t\tif(changedTiddlers[this.selectTitle] || childrenRefreshed) {\n\t\t\tthis.setSelectValue();\n\t\t} \n\t\treturn childrenRefreshed;\n\t}\n};\n\nexports.select = SelectWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/select.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/set.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/set.js\ntype: application/javascript\nmodule-type: widget\n\nSet variable widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar SetWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nSetWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nSetWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nSetWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.setName = this.getAttribute(\"name\",\"currentTiddler\");\n\tthis.setFilter = this.getAttribute(\"filter\");\n\tthis.setValue = this.getAttribute(\"value\");\n\tthis.setEmptyValue = this.getAttribute(\"emptyValue\");\n\t// Set context variable\n\tthis.setVariable(this.setName,this.getValue(),this.parseTreeNode.params);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nGet the value to be assigned\n*/\nSetWidget.prototype.getValue = function() {\n\tvar value = this.setValue;\n\tif(this.setFilter) {\n\t\tvar results = this.wiki.filterTiddlers(this.setFilter,this);\n\t\tif(!this.setValue) {\n\t\t\tvalue = $tw.utils.stringifyList(results);\n\t\t}\n\t\tif(results.length === 0 && this.setEmptyValue !== undefined) {\n\t\t\tvalue = this.setEmptyValue;\n\t\t}\n\t} else if(!value && this.setEmptyValue) {\n\t\tvalue = this.setEmptyValue;\n\t}\n\treturn value;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nSetWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.name || changedAttributes.filter || changedAttributes.value || changedAttributes.emptyValue ||\n\t (this.setFilter && this.getValue() != this.variables[this.setName].value)) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\n\t}\n};\n\nexports.setvariable = SetWidget;\nexports.set = SetWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/set.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/text.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/text.js\ntype: application/javascript\nmodule-type: widget\n\nText node widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TextNodeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTextNodeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTextNodeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tvar text = this.getAttribute(\"text\",this.parseTreeNode.text || \"\");\n\ttext = text.replace(/\\r/mg,\"\");\n\tvar textNode = this.document.createTextNode(text);\n\tparent.insertBefore(textNode,nextSibling);\n\tthis.domNodes.push(textNode);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTextNodeWidget.prototype.execute = function() {\n\t// Nothing to do for a text node\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTextNodeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.text) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.text = TextNodeWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/text.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/tiddler.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/tiddler.js\ntype: application/javascript\nmodule-type: widget\n\nTiddler widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TiddlerWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTiddlerWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTiddlerWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTiddlerWidget.prototype.execute = function() {\n\tthis.tiddlerState = this.computeTiddlerState();\n\tthis.setVariable(\"currentTiddler\",this.tiddlerState.currentTiddler);\n\tthis.setVariable(\"missingTiddlerClass\",this.tiddlerState.missingTiddlerClass);\n\tthis.setVariable(\"shadowTiddlerClass\",this.tiddlerState.shadowTiddlerClass);\n\tthis.setVariable(\"systemTiddlerClass\",this.tiddlerState.systemTiddlerClass);\n\tthis.setVariable(\"tiddlerTagClasses\",this.tiddlerState.tiddlerTagClasses);\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nCompute the tiddler state flags\n*/\nTiddlerWidget.prototype.computeTiddlerState = function() {\n\t// Get our parameters\n\tthis.tiddlerTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\t// Compute the state\n\tvar state = {\n\t\tcurrentTiddler: this.tiddlerTitle || \"\",\n\t\tmissingTiddlerClass: (this.wiki.tiddlerExists(this.tiddlerTitle) || this.wiki.isShadowTiddler(this.tiddlerTitle)) ? \"tc-tiddler-exists\" : \"tc-tiddler-missing\",\n\t\tshadowTiddlerClass: this.wiki.isShadowTiddler(this.tiddlerTitle) ? \"tc-tiddler-shadow\" : \"\",\n\t\tsystemTiddlerClass: this.wiki.isSystemTiddler(this.tiddlerTitle) ? \"tc-tiddler-system\" : \"\",\n\t\ttiddlerTagClasses: this.getTagClasses()\n\t};\n\t// Compute a simple hash to make it easier to detect changes\n\tstate.hash = state.currentTiddler + state.missingTiddlerClass + state.shadowTiddlerClass + state.systemTiddlerClass + state.tiddlerTagClasses;\n\treturn state;\n};\n\n/*\nCreate a string of CSS classes derived from the tags of the current tiddler\n*/\nTiddlerWidget.prototype.getTagClasses = function() {\n\tvar tiddler = this.wiki.getTiddler(this.tiddlerTitle);\n\tif(tiddler) {\n\t\tvar tags = [];\n\t\t$tw.utils.each(tiddler.fields.tags,function(tag) {\n\t\t\ttags.push(\"tc-tagged-\" + encodeURIComponent(tag));\n\t\t});\n\t\treturn tags.join(\" \");\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTiddlerWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes(),\n\t\tnewTiddlerState = this.computeTiddlerState();\n\tif(changedAttributes.tiddler || newTiddlerState.hash !== this.tiddlerState.hash) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.tiddler = TiddlerWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/tiddler.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/transclude.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/transclude.js\ntype: application/javascript\nmodule-type: widget\n\nTransclude widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar TranscludeWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nTranscludeWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nTranscludeWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nTranscludeWidget.prototype.execute = function() {\n\t// Get our parameters\n\tthis.transcludeTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.transcludeSubTiddler = this.getAttribute(\"subtiddler\");\n\tthis.transcludeField = this.getAttribute(\"field\");\n\tthis.transcludeIndex = this.getAttribute(\"index\");\n\tthis.transcludeMode = this.getAttribute(\"mode\");\n\t// Parse the text reference\n\tvar parseAsInline = !this.parseTreeNode.isBlock;\n\tif(this.transcludeMode === \"inline\") {\n\t\tparseAsInline = true;\n\t} else if(this.transcludeMode === \"block\") {\n\t\tparseAsInline = false;\n\t}\n\tvar parser = this.wiki.parseTextReference(\n\t\t\t\t\t\tthis.transcludeTitle,\n\t\t\t\t\t\tthis.transcludeField,\n\t\t\t\t\t\tthis.transcludeIndex,\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tparseAsInline: parseAsInline,\n\t\t\t\t\t\t\tsubTiddler: this.transcludeSubTiddler\n\t\t\t\t\t\t}),\n\t\tparseTreeNodes = parser ? parser.tree : this.parseTreeNode.children;\n\t// Set context variables for recursion detection\n\tvar recursionMarker = this.makeRecursionMarker();\n\tthis.setVariable(\"transclusion\",recursionMarker);\n\t// Check for recursion\n\tif(parser) {\n\t\tif(this.parentWidget && this.parentWidget.hasVariable(\"transclusion\",recursionMarker)) {\n\t\t\tparseTreeNodes = [{type: \"element\", tag: \"span\", attributes: {\n\t\t\t\t\"class\": {type: \"string\", value: \"tc-error\"}\n\t\t\t}, children: [\n\t\t\t\t{type: \"text\", text: \"Recursive transclusion error in transclude widget\"}\n\t\t\t]}];\n\t\t}\n\t}\n\t// Construct the child widgets\n\tthis.makeChildWidgets(parseTreeNodes);\n};\n\n/*\nCompose a string comprising the title, field and/or index to identify this transclusion for recursion detection\n*/\nTranscludeWidget.prototype.makeRecursionMarker = function() {\n\tvar output = [];\n\toutput.push(\"{\");\n\toutput.push(this.getVariable(\"currentTiddler\",{defaultValue: \"\"}));\n\toutput.push(\"|\");\n\toutput.push(this.transcludeTitle || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeField || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeIndex || \"\");\n\toutput.push(\"|\");\n\toutput.push(this.transcludeSubTiddler || \"\");\n\toutput.push(\"}\");\n\treturn output.join(\"\");\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nTranscludeWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedTiddlers[this.transcludeTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn this.refreshChildren(changedTiddlers);\t\t\n\t}\n};\n\nexports.transclude = TranscludeWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/transclude.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/vars.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/vars.js\ntype: application/javascript\nmodule-type: widget\n\nThis widget allows multiple variables to be set in one go:\n\n```\n\\define helloworld() Hello world!\n<$vars greeting=\"Hi\" me={{!!title}} sentence=<<helloworld>>>\n <<greeting>>! I am <<me>> and I say: <<sentence>>\n</$vars>\n```\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar VarsWidget = function(parseTreeNode,options) {\n\t// Call the constructor\n\tWidget.call(this);\n\t// Initialise\t\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nVarsWidget.prototype = Object.create(Widget.prototype);\n\n/*\nRender this widget into the DOM\n*/\nVarsWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nVarsWidget.prototype.execute = function() {\n\t// Parse variables\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(val,key) {\n\t\tif(key.charAt(0) !== \"$\") {\n\t\t\tself.setVariable(key,val);\n\t\t}\n\t});\n\t// Construct the child widgets\n\tthis.makeChildWidgets();\n};\n\n/*\nRefresh the widget by ensuring our attributes are up to date\n*/\nVarsWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(Object.keys(changedAttributes).length) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t}\n\treturn this.refreshChildren(changedTiddlers);\n};\n\nexports[\"vars\"] = VarsWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/vars.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/view.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/view.js\ntype: application/javascript\nmodule-type: widget\n\nView widget\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar Widget = require(\"$:/core/modules/widgets/widget.js\").widget;\n\nvar ViewWidget = function(parseTreeNode,options) {\n\tthis.initialise(parseTreeNode,options);\n};\n\n/*\nInherit from the base widget class\n*/\nViewWidget.prototype = new Widget();\n\n/*\nRender this widget into the DOM\n*/\nViewWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.computeAttributes();\n\tthis.execute();\n\tif(this.text) {\n\t\tvar textNode = this.document.createTextNode(this.text);\n\t\tparent.insertBefore(textNode,nextSibling);\n\t\tthis.domNodes.push(textNode);\n\t} else {\n\t\tthis.makeChildWidgets();\n\t\tthis.renderChildren(parent,nextSibling);\n\t}\n};\n\n/*\nCompute the internal state of the widget\n*/\nViewWidget.prototype.execute = function() {\n\t// Get parameters from our attributes\n\tthis.viewTitle = this.getAttribute(\"tiddler\",this.getVariable(\"currentTiddler\"));\n\tthis.viewSubtiddler = this.getAttribute(\"subtiddler\");\n\tthis.viewField = this.getAttribute(\"field\",\"text\");\n\tthis.viewIndex = this.getAttribute(\"index\");\n\tthis.viewFormat = this.getAttribute(\"format\",\"text\");\n\tthis.viewTemplate = this.getAttribute(\"template\",\"\");\n\tswitch(this.viewFormat) {\n\t\tcase \"htmlwikified\":\n\t\t\tthis.text = this.getValueAsHtmlWikified();\n\t\t\tbreak;\n\t\tcase \"htmlencodedplainwikified\":\n\t\t\tthis.text = this.getValueAsHtmlEncodedPlainWikified();\n\t\t\tbreak;\n\t\tcase \"htmlencoded\":\n\t\t\tthis.text = this.getValueAsHtmlEncoded();\n\t\t\tbreak;\n\t\tcase \"urlencoded\":\n\t\t\tthis.text = this.getValueAsUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"doubleurlencoded\":\n\t\t\tthis.text = this.getValueAsDoubleUrlEncoded();\n\t\t\tbreak;\n\t\tcase \"date\":\n\t\t\tthis.text = this.getValueAsDate(this.viewTemplate);\n\t\t\tbreak;\n\t\tcase \"relativedate\":\n\t\t\tthis.text = this.getValueAsRelativeDate();\n\t\t\tbreak;\n\t\tcase \"stripcomments\":\n\t\t\tthis.text = this.getValueAsStrippedComments();\n\t\t\tbreak;\n\t\tcase \"jsencoded\":\n\t\t\tthis.text = this.getValueAsJsEncoded();\n\t\t\tbreak;\n\t\tdefault: // \"text\"\n\t\t\tthis.text = this.getValueAsText();\n\t\t\tbreak;\n\t}\n};\n\n/*\nThe various formatter functions are baked into this widget for the moment. Eventually they will be replaced by macro functions\n*/\n\n/*\nRetrieve the value of the widget. Options are:\nasString: Optionally return the value as a string\n*/\nViewWidget.prototype.getValue = function(options) {\n\toptions = options || {};\n\tvar value = options.asString ? \"\" : undefined;\n\tif(this.viewIndex) {\n\t\tvalue = this.wiki.extractTiddlerDataItem(this.viewTitle,this.viewIndex);\n\t} else {\n\t\tvar tiddler;\n\t\tif(this.viewSubtiddler) {\n\t\t\ttiddler = this.wiki.getSubTiddler(this.viewTitle,this.viewSubtiddler);\t\n\t\t} else {\n\t\t\ttiddler = this.wiki.getTiddler(this.viewTitle);\n\t\t}\n\t\tif(tiddler) {\n\t\t\tif(this.viewField === \"text\" && !this.viewSubtiddler) {\n\t\t\t\t// Calling getTiddlerText() triggers lazy loading of skinny tiddlers\n\t\t\t\tvalue = this.wiki.getTiddlerText(this.viewTitle);\n\t\t\t} else {\n\t\t\t\tif($tw.utils.hop(tiddler.fields,this.viewField)) {\n\t\t\t\t\tif(options.asString) {\n\t\t\t\t\t\tvalue = tiddler.getFieldString(this.viewField);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tvalue = tiddler.fields[this.viewField];\t\t\t\t\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t} else {\n\t\t\tif(this.viewField === \"title\") {\n\t\t\t\tvalue = this.viewTitle;\n\t\t\t}\n\t\t}\n\t}\n\treturn value;\n};\n\nViewWidget.prototype.getValueAsText = function() {\n\treturn this.getValue({asString: true});\n};\n\nViewWidget.prototype.getValueAsHtmlWikified = function() {\n\treturn this.wiki.renderText(\"text/html\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{parentWidget: this});\n};\n\nViewWidget.prototype.getValueAsHtmlEncodedPlainWikified = function() {\n\treturn $tw.utils.htmlEncode(this.wiki.renderText(\"text/plain\",\"text/vnd.tiddlywiki\",this.getValueAsText(),{parentWidget: this}));\n};\n\nViewWidget.prototype.getValueAsHtmlEncoded = function() {\n\treturn $tw.utils.htmlEncode(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsUrlEncoded = function() {\n\treturn encodeURIComponent(this.getValueAsText());\n};\n\nViewWidget.prototype.getValueAsDoubleUrlEncoded = function() {\n\treturn encodeURIComponent(encodeURIComponent(this.getValueAsText()));\n};\n\nViewWidget.prototype.getValueAsDate = function(format) {\n\tformat = format || \"YYYY MM DD 0hh:0mm\";\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.formatDateString(value,format);\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsRelativeDate = function(format) {\n\tvar value = $tw.utils.parseDate(this.getValue());\n\tif(value && $tw.utils.isDate(value) && value.toString() !== \"Invalid Date\") {\n\t\treturn $tw.utils.getRelativeDate((new Date()) - (new Date(value))).description;\n\t} else {\n\t\treturn \"\";\n\t}\n};\n\nViewWidget.prototype.getValueAsStrippedComments = function() {\n\tvar lines = this.getValueAsText().split(\"\\n\"),\n\t\tout = [];\n\tfor(var line=0; line<lines.length; line++) {\n\t\tvar text = lines[line];\n\t\tif(!/^\\s*\\/\\/#/.test(text)) {\n\t\t\tout.push(text);\n\t\t}\n\t}\n\treturn out.join(\"\\n\");\n};\n\nViewWidget.prototype.getValueAsJsEncoded = function() {\n\treturn $tw.utils.stringify(this.getValueAsText());\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nViewWidget.prototype.refresh = function(changedTiddlers) {\n\tvar changedAttributes = this.computeAttributes();\n\tif(changedAttributes.tiddler || changedAttributes.field || changedAttributes.index || changedAttributes.template || changedAttributes.format || changedTiddlers[this.viewTitle]) {\n\t\tthis.refreshSelf();\n\t\treturn true;\n\t} else {\n\t\treturn false;\t\n\t}\n};\n\nexports.view = ViewWidget;\n\n})();\n",
"title": "$:/core/modules/widgets/view.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/widgets/widget.js": {
"text": "/*\\\ntitle: $:/core/modules/widgets/widget.js\ntype: application/javascript\nmodule-type: widget\n\nWidget base class\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nCreate a widget object for a parse tree node\n\tparseTreeNode: reference to the parse tree node to be rendered\n\toptions: see below\nOptions include:\n\twiki: mandatory reference to wiki associated with this render tree\n\tparentWidget: optional reference to a parent renderer node for the context chain\n\tdocument: optional document object to use instead of global document\n*/\nvar Widget = function(parseTreeNode,options) {\n\tif(arguments.length > 0) {\n\t\tthis.initialise(parseTreeNode,options);\n\t}\n};\n\n/*\nInitialise widget properties. These steps are pulled out of the constructor so that we can reuse them in subclasses\n*/\nWidget.prototype.initialise = function(parseTreeNode,options) {\n\toptions = options || {};\n\t// Save widget info\n\tthis.parseTreeNode = parseTreeNode;\n\tthis.wiki = options.wiki;\n\tthis.parentWidget = options.parentWidget;\n\tthis.variablesConstructor = function() {};\n\tthis.variablesConstructor.prototype = this.parentWidget ? this.parentWidget.variables : {};\n\tthis.variables = new this.variablesConstructor();\n\tthis.document = options.document;\n\tthis.attributes = {};\n\tthis.children = [];\n\tthis.domNodes = [];\n\tthis.eventListeners = {};\n\t// Hashmap of the widget classes\n\tif(!this.widgetClasses) {\n\t\tWidget.prototype.widgetClasses = $tw.modules.applyMethods(\"widget\");\n\t}\n};\n\n/*\nRender this widget into the DOM\n*/\nWidget.prototype.render = function(parent,nextSibling) {\n\tthis.parentDomNode = parent;\n\tthis.execute();\n\tthis.renderChildren(parent,nextSibling);\n};\n\n/*\nCompute the internal state of the widget\n*/\nWidget.prototype.execute = function() {\n\tthis.makeChildWidgets();\n};\n\n/*\nSet the value of a context variable\nname: name of the variable\nvalue: value of the variable\nparams: array of {name:, default:} for each parameter\n*/\nWidget.prototype.setVariable = function(name,value,params) {\n\tthis.variables[name] = {value: value, params: params};\n};\n\n/*\nGet the prevailing value of a context variable\nname: name of variable\noptions: see below\nOptions include\nparams: array of {name:, value:} for each parameter\ndefaultValue: default value if the variable is not defined\n*/\nWidget.prototype.getVariable = function(name,options) {\n\toptions = options || {};\n\tvar actualParams = options.params || [],\n\t\tparentWidget = this.parentWidget;\n\t// Check for the variable defined in the parent widget (or an ancestor in the prototype chain)\n\tif(parentWidget && name in parentWidget.variables) {\n\t\tvar variable = parentWidget.variables[name],\n\t\t\tvalue = variable.value;\n\t\t// Substitute any parameters specified in the definition\n\t\tvalue = this.substituteVariableParameters(value,variable.params,actualParams);\n\t\tvalue = this.substituteVariableReferences(value);\n\t\treturn value;\n\t}\n\t// If the variable doesn't exist in the parent widget then look for a macro module\n\treturn this.evaluateMacroModule(name,actualParams,options.defaultValue);\n};\n\nWidget.prototype.substituteVariableParameters = function(text,formalParams,actualParams) {\n\tif(formalParams) {\n\t\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\t\tparamInfo, paramValue;\n\t\t// Step through each of the parameters in the macro definition\n\t\tfor(var p=0; p<formalParams.length; p++) {\n\t\t\t// Check if we've got a macro call parameter with the same name\n\t\t\tparamInfo = formalParams[p];\n\t\t\tparamValue = undefined;\n\t\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// If not, use the next available anonymous macro call parameter\n\t\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\t\tnextAnonParameter++;\n\t\t\t}\n\t\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t\t}\n\t\t\t// If we've still not got a value, use the default, if any\n\t\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t\t// Replace any instances of this parameter\n\t\t\ttext = text.replace(new RegExp(\"\\\\$\" + $tw.utils.escapeRegExp(paramInfo.name) + \"\\\\$\",\"mg\"),paramValue);\n\t\t}\n\t}\n\treturn text;\n};\n\nWidget.prototype.substituteVariableReferences = function(text) {\n\tvar self = this;\n\treturn (text || \"\").replace(/\\$\\(([^\\)\\$]+)\\)\\$/g,function(match,p1,offset,string) {\n\t\treturn self.getVariable(p1,{defaultValue: \"\"});\n\t});\n};\n\nWidget.prototype.evaluateMacroModule = function(name,actualParams,defaultValue) {\n\tif($tw.utils.hop($tw.macros,name)) {\n\t\tvar macro = $tw.macros[name],\n\t\t\targs = [];\n\t\tif(macro.params.length > 0) {\n\t\t\tvar nextAnonParameter = 0, // Next candidate anonymous parameter in macro call\n\t\t\t\tparamInfo, paramValue;\n\t\t\t// Step through each of the parameters in the macro definition\n\t\t\tfor(var p=0; p<macro.params.length; p++) {\n\t\t\t\t// Check if we've got a macro call parameter with the same name\n\t\t\t\tparamInfo = macro.params[p];\n\t\t\t\tparamValue = undefined;\n\t\t\t\tfor(var m=0; m<actualParams.length; m++) {\n\t\t\t\t\tif(actualParams[m].name === paramInfo.name) {\n\t\t\t\t\t\tparamValue = actualParams[m].value;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t// If not, use the next available anonymous macro call parameter\n\t\t\t\twhile(nextAnonParameter < actualParams.length && actualParams[nextAnonParameter].name) {\n\t\t\t\t\tnextAnonParameter++;\n\t\t\t\t}\n\t\t\t\tif(paramValue === undefined && nextAnonParameter < actualParams.length) {\n\t\t\t\t\tparamValue = actualParams[nextAnonParameter++].value;\n\t\t\t\t}\n\t\t\t\t// If we've still not got a value, use the default, if any\n\t\t\t\tparamValue = paramValue || paramInfo[\"default\"] || \"\";\n\t\t\t\t// Save the parameter\n\t\t\t\targs.push(paramValue);\n\t\t\t}\n\t\t}\n\t\telse for(var i=0; i<actualParams.length; ++i) {\n\t\t\targs.push(actualParams[i].value);\n\t\t}\n\t\treturn (macro.run.apply(this,args) || \"\").toString();\n\t} else {\n\t\treturn defaultValue;\n\t}\n};\n\n/*\nCheck whether a given context variable value exists in the parent chain\n*/\nWidget.prototype.hasVariable = function(name,value) {\n\tvar node = this;\n\twhile(node) {\n\t\tif($tw.utils.hop(node.variables,name) && node.variables[name].value === value) {\n\t\t\treturn true;\n\t\t}\n\t\tnode = node.parentWidget;\n\t}\n\treturn false;\n};\n\n/*\nConstruct a qualifying string based on a hash of concatenating the values of a given variable in the parent chain\n*/\nWidget.prototype.getStateQualifier = function(name) {\n\tthis.qualifiers = this.qualifiers || Object.create(null);\n\tname = name || \"transclusion\";\n\tif(this.qualifiers[name]) {\n\t\treturn this.qualifiers[name];\n\t} else {\n\t\tvar output = [],\n\t\t\tnode = this;\n\t\twhile(node && node.parentWidget) {\n\t\t\tif($tw.utils.hop(node.parentWidget.variables,name)) {\n\t\t\t\toutput.push(node.getVariable(name));\n\t\t\t}\n\t\t\tnode = node.parentWidget;\n\t\t}\n\t\tvar value = $tw.utils.hashString(output.join(\"\"));\n\t\tthis.qualifiers[name] = value;\n\t\treturn value;\n\t}\n};\n\n/*\nCompute the current values of the attributes of the widget. Returns a hashmap of the names of the attributes that have changed\n*/\nWidget.prototype.computeAttributes = function() {\n\tvar changedAttributes = {},\n\t\tself = this,\n\t\tvalue;\n\t$tw.utils.each(this.parseTreeNode.attributes,function(attribute,name) {\n\t\tif(attribute.type === \"indirect\") {\n\t\t\tvalue = self.wiki.getTextReference(attribute.textReference,\"\",self.getVariable(\"currentTiddler\"));\n\t\t} else if(attribute.type === \"macro\") {\n\t\t\tvalue = self.getVariable(attribute.value.name,{params: attribute.value.params});\n\t\t} else { // String attribute\n\t\t\tvalue = attribute.value;\n\t\t}\n\t\t// Check whether the attribute has changed\n\t\tif(self.attributes[name] !== value) {\n\t\t\tself.attributes[name] = value;\n\t\t\tchangedAttributes[name] = true;\n\t\t}\n\t});\n\treturn changedAttributes;\n};\n\n/*\nCheck for the presence of an attribute\n*/\nWidget.prototype.hasAttribute = function(name) {\n\treturn $tw.utils.hop(this.attributes,name);\n};\n\n/*\nGet the value of an attribute\n*/\nWidget.prototype.getAttribute = function(name,defaultText) {\n\tif($tw.utils.hop(this.attributes,name)) {\n\t\treturn this.attributes[name];\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nAssign the computed attributes of the widget to a domNode\noptions include:\nexcludeEventAttributes: ignores attributes whose name begins with \"on\"\n*/\nWidget.prototype.assignAttributes = function(domNode,options) {\n\toptions = options || {};\n\tvar self = this;\n\t$tw.utils.each(this.attributes,function(v,a) {\n\t\t// Check exclusions\n\t\tif(options.excludeEventAttributes && a.substr(0,2) === \"on\") {\n\t\t\tv = undefined;\n\t\t}\n\t\tif(v !== undefined) {\n\t\t\tvar b = a.split(\":\");\n\t\t\t// Setting certain attributes can cause a DOM error (eg xmlns on the svg element)\n\t\t\ttry {\n\t\t\t\tif (b.length == 2 && b[0] == \"xlink\"){\n\t\t\t\t\tdomNode.setAttributeNS(\"http://www.w3.org/1999/xlink\",b[1],v);\n\t\t\t\t} else {\n\t\t\t\t\tdomNode.setAttributeNS(null,a,v);\n\t\t\t\t}\n\t\t\t} catch(e) {\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nMake child widgets correspondng to specified parseTreeNodes\n*/\nWidget.prototype.makeChildWidgets = function(parseTreeNodes) {\n\tthis.children = [];\n\tvar self = this;\n\t$tw.utils.each(parseTreeNodes || (this.parseTreeNode && this.parseTreeNode.children),function(childNode) {\n\t\tself.children.push(self.makeChildWidget(childNode));\n\t});\n};\n\n/*\nConstruct the widget object for a parse tree node\n*/\nWidget.prototype.makeChildWidget = function(parseTreeNode) {\n\tvar WidgetClass = this.widgetClasses[parseTreeNode.type];\n\tif(!WidgetClass) {\n\t\tWidgetClass = this.widgetClasses.text;\n\t\tparseTreeNode = {type: \"text\", text: \"Undefined widget '\" + parseTreeNode.type + \"'\"};\n\t}\n\treturn new WidgetClass(parseTreeNode,{\n\t\twiki: this.wiki,\n\t\tvariables: {},\n\t\tparentWidget: this,\n\t\tdocument: this.document\n\t});\n};\n\n/*\nGet the next sibling of this widget\n*/\nWidget.prototype.nextSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index < this.parentWidget.children.length-1) {\n\t\t\treturn this.parentWidget.children[index+1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nGet the previous sibling of this widget\n*/\nWidget.prototype.previousSibling = function() {\n\tif(this.parentWidget) {\n\t\tvar index = this.parentWidget.children.indexOf(this);\n\t\tif(index !== -1 && index > 0) {\n\t\t\treturn this.parentWidget.children[index-1];\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRender the children of this widget into the DOM\n*/\nWidget.prototype.renderChildren = function(parent,nextSibling) {\n\t$tw.utils.each(this.children,function(childWidget) {\n\t\tchildWidget.render(parent,nextSibling);\n\t});\n};\n\n/*\nAdd a list of event listeners from an array [{type:,handler:},...]\n*/\nWidget.prototype.addEventListeners = function(listeners) {\n\tvar self = this;\n\t$tw.utils.each(listeners,function(listenerInfo) {\n\t\tself.addEventListener(listenerInfo.type,listenerInfo.handler);\n\t});\n};\n\n/*\nAdd an event listener\n*/\nWidget.prototype.addEventListener = function(type,handler) {\n\tvar self = this;\n\tif(typeof handler === \"string\") { // The handler is a method name on this widget\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn self[handler].call(self,event);\n\t\t};\n\t} else { // The handler is a function\n\t\tthis.eventListeners[type] = function(event) {\n\t\t\treturn handler.call(self,event);\n\t\t};\n\t}\n};\n\n/*\nDispatch an event to a widget. If the widget doesn't handle the event then it is also dispatched to the parent widget\n*/\nWidget.prototype.dispatchEvent = function(event) {\n\t// Dispatch the event if this widget handles it\n\tvar listener = this.eventListeners[event.type];\n\tif(listener) {\n\t\t// Don't propagate the event if the listener returned false\n\t\tif(!listener(event)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Dispatch the event to the parent widget\n\tif(this.parentWidget) {\n\t\treturn this.parentWidget.dispatchEvent(event);\n\t}\n\treturn true;\n};\n\n/*\nSelectively refreshes the widget if needed. Returns true if the widget or any of its children needed re-rendering\n*/\nWidget.prototype.refresh = function(changedTiddlers) {\n\treturn this.refreshChildren(changedTiddlers);\n};\n\n/*\nRebuild a previously rendered widget\n*/\nWidget.prototype.refreshSelf = function() {\n\tvar nextSibling = this.findNextSiblingDomNode();\n\tthis.removeChildDomNodes();\n\tthis.render(this.parentDomNode,nextSibling);\n};\n\n/*\nRefresh all the children of a widget\n*/\nWidget.prototype.refreshChildren = function(changedTiddlers) {\n\tvar self = this,\n\t\trefreshed = false;\n\t$tw.utils.each(this.children,function(childWidget) {\n\t\trefreshed = childWidget.refresh(changedTiddlers) || refreshed;\n\t});\n\treturn refreshed;\n};\n\n/*\nFind the next sibling in the DOM to this widget. This is done by scanning the widget tree through all next siblings and their descendents that share the same parent DOM node\n*/\nWidget.prototype.findNextSiblingDomNode = function(startIndex) {\n\t// Refer to this widget by its index within its parents children\n\tvar parent = this.parentWidget,\n\t\tindex = startIndex !== undefined ? startIndex : parent.children.indexOf(this);\nif(index === -1) {\n\tthrow \"node not found in parents children\";\n}\n\t// Look for a DOM node in the later siblings\n\twhile(++index < parent.children.length) {\n\t\tvar domNode = parent.children[index].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\t// Go back and look for later siblings of our parent if it has the same parent dom node\n\tvar grandParent = parent.parentWidget;\n\tif(grandParent && parent.parentDomNode === this.parentDomNode) {\n\t\tindex = grandParent.children.indexOf(parent);\n\t\tif(index !== -1) {\n\t\t\treturn parent.findNextSiblingDomNode(index);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nFind the first DOM node generated by a widget or its children\n*/\nWidget.prototype.findFirstDomNode = function() {\n\t// Return the first dom node of this widget, if we've got one\n\tif(this.domNodes.length > 0) {\n\t\treturn this.domNodes[0];\n\t}\n\t// Otherwise, recursively call our children\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar domNode = this.children[t].findFirstDomNode();\n\t\tif(domNode) {\n\t\t\treturn domNode;\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRemove any DOM nodes created by this widget or its children\n*/\nWidget.prototype.removeChildDomNodes = function() {\n\t// If this widget has directly created DOM nodes, delete them and exit. This assumes that any child widgets are contained within the created DOM nodes, which would normally be the case\n\tif(this.domNodes.length > 0) {\n\t\t$tw.utils.each(this.domNodes,function(domNode) {\n\t\t\tdomNode.parentNode.removeChild(domNode);\n\t\t});\n\t\tthis.domNodes = [];\n\t} else {\n\t\t// Otherwise, ask the child widgets to delete their DOM nodes\n\t\t$tw.utils.each(this.children,function(childWidget) {\n\t\t\tchildWidget.removeChildDomNodes();\n\t\t});\n\t}\n};\n\n/*\nInvoke the action widgets that are descendents of the current widget.\n*/\nWidget.prototype.invokeActions = function(triggeringWidget,event) {\n\tvar handled = false;\n\t// For each child widget\n\tfor(var t=0; t<this.children.length; t++) {\n\t\tvar child = this.children[t];\n\t\t// Invoke the child if it is an action widget\n\t\tif(child.invokeAction && child.invokeAction(triggeringWidget,event)) {\n\t\t\thandled = true;\n\t\t}\n\t\t// Propagate through through the child if it permits it\n\t\tif(child.allowActionPropagation() && child.invokeActions(triggeringWidget,event)) {\n\t\t\thandled = true;\n\t\t}\n\t}\n\treturn handled;\n};\n\n\nWidget.prototype.allowActionPropagation = function() {\n\treturn true;\n};\n\nexports.widget = Widget;\n\n})();\n",
"title": "$:/core/modules/widgets/widget.js",
"type": "application/javascript",
"module-type": "widget"
},
"$:/core/modules/wiki-bulkops.js": {
"text": "/*\\\ntitle: $:/core/modules/wiki-bulkops.js\ntype: application/javascript\nmodule-type: wikimethod\n\nBulk tiddler operations such as rename.\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\n/*\nRename a tiddler, and relink any tags or lists that reference it.\n*/\nexports.renameTiddler = function(fromTitle,toTitle) {\n\tvar self = this;\n\tfromTitle = (fromTitle || \"\").trim();\n\ttoTitle = (toTitle || \"\").trim();\n\tif(fromTitle && toTitle && fromTitle !== toTitle) {\n\t\t// Rename the tiddler itself\n\t\tvar tiddler = this.getTiddler(fromTitle);\n\t\tthis.addTiddler(new $tw.Tiddler(tiddler,{title: toTitle},this.getModificationFields()));\n\t\tthis.deleteTiddler(fromTitle);\n\t\t// Rename any tags or lists that reference it\n\t\tthis.each(function(tiddler,title) {\n\t\t\tvar tags = (tiddler.fields.tags || []).slice(0),\n\t\t\t\tlist = (tiddler.fields.list || []).slice(0),\n\t\t\t\tisModified = false;\n\t\t\t// Rename tags\n\t\t\t$tw.utils.each(tags,function (title,index) {\n\t\t\t\tif(title === fromTitle) {\n\t\t\t\t\ttags[index] = toTitle;\n\t\t\t\t\tisModified = true;\n\t\t\t\t}\n\t\t\t});\n\t\t\t// Rename lists\n\t\t\t$tw.utils.each(list,function (title,index) {\n\t\t\t\tif(title === fromTitle) {\n\t\t\t\t\tlist[index] = toTitle;\n\t\t\t\t\tisModified = true;\n\t\t\t\t}\n\t\t\t});\n\t\t\tif(isModified) {\n\t\t\t\tself.addTiddler(new $tw.Tiddler(tiddler,{tags: tags, list: list},self.getModificationFields()));\n\t\t\t}\n\t\t});\n\t}\n}\n\n})();\n",
"title": "$:/core/modules/wiki-bulkops.js",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/core/modules/wiki.js": {
"text": "/*\\\ntitle: $:/core/modules/wiki.js\ntype: application/javascript\nmodule-type: wikimethod\n\nExtension methods for the $tw.Wiki object\n\nAdds the following properties to the wiki object:\n\n* `eventListeners` is a hashmap by type of arrays of listener functions\n* `changedTiddlers` is a hashmap describing changes to named tiddlers since wiki change events were last dispatched. Each entry is a hashmap containing two fields:\n\tmodified: true/false\n\tdeleted: true/false\n* `changeCount` is a hashmap by tiddler title containing a numerical index that starts at zero and is incremented each time a tiddler is created changed or deleted\n* `caches` is a hashmap by tiddler title containing a further hashmap of named cache objects. Caches are automatically cleared when a tiddler is modified or deleted\n* `globalCache` is a hashmap by cache name of cache objects that are cleared whenever any tiddler change occurs\n\n\\*/\n(function(){\n\n/*jslint node: true, browser: true */\n/*global $tw: false */\n\"use strict\";\n\nvar widget = require(\"$:/core/modules/widgets/widget.js\");\n\nvar USER_NAME_TITLE = \"$:/status/UserName\";\n\n/*\nGet the value of a text reference. Text references can have any of these forms:\n\t<tiddlertitle>\n\t<tiddlertitle>!!<fieldname>\n\t!!<fieldname> - specifies a field of the current tiddlers\n\t<tiddlertitle>##<index>\n*/\nexports.getTextReference = function(textRef,defaultText,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tif(tr.field) {\n\t\tvar tiddler = this.getTiddler(title);\n\t\tif(tr.field === \"title\") { // Special case so we can return the title of a non-existent tiddler\n\t\t\treturn title;\n\t\t} else if(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\treturn tiddler.getFieldString(tr.field);\n\t\t} else {\n\t\t\treturn defaultText;\n\t\t}\n\t} else if(tr.index) {\n\t\treturn this.extractTiddlerDataItem(title,tr.index,defaultText);\n\t} else {\n\t\treturn this.getTiddlerText(title,defaultText);\n\t}\n};\n\nexports.setTextReference = function(textRef,value,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle = tr.title || currTiddlerTitle;\n\tthis.setText(title,tr.field,tr.index,value);\n};\n\nexports.setText = function(title,field,index,value,options) {\n\toptions = options || {};\n\tvar creationFields = options.suppressTimestamp ? {} : this.getCreationFields(),\n\t\tmodificationFields = options.suppressTimestamp ? {} : this.getModificationFields();\n\t// Check if it is a reference to a tiddler field\n\tif(index) {\n\t\tvar data = this.getTiddlerData(title,Object.create(null));\n\t\tif(value !== undefined) {\n\t\t\tdata[index] = value;\n\t\t} else {\n\t\t\tdelete data[index];\n\t\t}\n\t\tthis.setTiddlerData(title,data,modificationFields);\n\t} else {\n\t\tvar tiddler = this.getTiddler(title),\n\t\t\tfields = {title: title};\n\t\tfields[field || \"text\"] = value;\n\t\tthis.addTiddler(new $tw.Tiddler(creationFields,tiddler,fields,modificationFields));\n\t}\n};\n\nexports.deleteTextReference = function(textRef,currTiddlerTitle) {\n\tvar tr = $tw.utils.parseTextReference(textRef),\n\t\ttitle,tiddler,fields;\n\t// Check if it is a reference to a tiddler\n\tif(tr.title && !tr.field) {\n\t\tthis.deleteTiddler(tr.title);\n\t// Else check for a field reference\n\t} else if(tr.field) {\n\t\ttitle = tr.title || currTiddlerTitle;\n\t\ttiddler = this.getTiddler(title);\n\t\tif(tiddler && $tw.utils.hop(tiddler.fields,tr.field)) {\n\t\t\tfields = Object.create(null);\n\t\t\tfields[tr.field] = undefined;\n\t\t\tthis.addTiddler(new $tw.Tiddler(tiddler,fields,this.getModificationFields()));\n\t\t}\n\t}\n};\n\nexports.addEventListener = function(type,listener) {\n\tthis.eventListeners = this.eventListeners || {};\n\tthis.eventListeners[type] = this.eventListeners[type] || [];\n\tthis.eventListeners[type].push(listener);\t\n};\n\nexports.removeEventListener = function(type,listener) {\n\tvar listeners = this.eventListeners[type];\n\tif(listeners) {\n\t\tvar p = listeners.indexOf(listener);\n\t\tif(p !== -1) {\n\t\t\tlisteners.splice(p,1);\n\t\t}\n\t}\n};\n\nexports.dispatchEvent = function(type /*, args */) {\n\tvar args = Array.prototype.slice.call(arguments,1),\n\t\tlisteners = this.eventListeners[type];\n\tif(listeners) {\n\t\tfor(var p=0; p<listeners.length; p++) {\n\t\t\tvar listener = listeners[p];\n\t\t\tlistener.apply(listener,args);\n\t\t}\n\t}\n};\n\n/*\nCauses a tiddler to be marked as changed, incrementing the change count, and triggers event handlers.\nThis method should be called after the changes it describes have been made to the wiki.tiddlers[] array.\n\ttitle: Title of tiddler\n\tisDeleted: defaults to false (meaning the tiddler has been created or modified),\n\t\ttrue if the tiddler has been deleted\n*/\nexports.enqueueTiddlerEvent = function(title,isDeleted) {\n\t// Record the touch in the list of changed tiddlers\n\tthis.changedTiddlers = this.changedTiddlers || Object.create(null);\n\tthis.changedTiddlers[title] = this.changedTiddlers[title] || Object.create(null);\n\tthis.changedTiddlers[title][isDeleted ? \"deleted\" : \"modified\"] = true;\n\t// Increment the change count\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\tthis.changeCount[title]++;\n\t} else {\n\t\tthis.changeCount[title] = 1;\n\t}\n\t// Trigger events\n\tthis.eventListeners = this.eventListeners || {};\n\tif(!this.eventsTriggered) {\n\t\tvar self = this;\n\t\t$tw.utils.nextTick(function() {\n\t\t\tvar changes = self.changedTiddlers;\n\t\t\tself.changedTiddlers = Object.create(null);\n\t\t\tself.eventsTriggered = false;\n\t\t\tif($tw.utils.count(changes) > 0) {\n\t\t\t\tself.dispatchEvent(\"change\",changes);\n\t\t\t}\n\t\t});\n\t\tthis.eventsTriggered = true;\n\t}\n};\n\nexports.getSizeOfTiddlerEventQueue = function() {\n\treturn $tw.utils.count(this.changedTiddlers);\n};\n\nexports.clearTiddlerEventQueue = function() {\n\tthis.changedTiddlers = Object.create(null);\n\tthis.changeCount = Object.create(null);\n};\n\nexports.getChangeCount = function(title) {\n\tthis.changeCount = this.changeCount || Object.create(null);\n\tif($tw.utils.hop(this.changeCount,title)) {\n\t\treturn this.changeCount[title];\n\t} else {\n\t\treturn 0;\n\t}\n};\n\n/*\nGenerate an unused title from the specified base\n*/\nexports.generateNewTitle = function(baseTitle,options) {\n\toptions = options || {};\n\tvar c = 0,\n\t\ttitle = baseTitle;\n\twhile(this.tiddlerExists(title) || this.isShadowTiddler(title) || this.findDraft(title)) {\n\t\ttitle = baseTitle + \n\t\t\t(options.prefix || \" \") + \n\t\t\t(++c);\n\t}\n\treturn title;\n};\n\nexports.isSystemTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/\") === 0;\n};\n\nexports.isTemporaryTiddler = function(title) {\n\treturn title && title.indexOf(\"$:/temp/\") === 0;\n};\n\nexports.isImageTiddler = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\t\t\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type || \"text/vnd.tiddlywiki\"];\n\t\treturn !!contentTypeInfo && contentTypeInfo.flags.indexOf(\"image\") !== -1;\n\t} else {\n\t\treturn null;\n\t}\n};\n\n/*\nLike addTiddler() except it will silently reject any plugin tiddlers that are older than the currently loaded version. Returns true if the tiddler was imported\n*/\nexports.importTiddler = function(tiddler) {\n\tvar existingTiddler = this.getTiddler(tiddler.fields.title);\n\t// Check if we're dealing with a plugin\n\tif(tiddler && tiddler.hasField(\"plugin-type\") && tiddler.hasField(\"version\") && existingTiddler && existingTiddler.hasField(\"plugin-type\") && existingTiddler.hasField(\"version\")) {\n\t\t// Reject the incoming plugin if it is older\n\t\tif(!$tw.utils.checkVersions(tiddler.fields.version,existingTiddler.fields.version)) {\n\t\t\treturn false;\n\t\t}\n\t}\n\t// Fall through to adding the tiddler\n\tthis.addTiddler(tiddler);\n\treturn true;\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is created\n*/\nexports.getCreationFields = function() {\n\tvar fields = {\n\t\t\tcreated: new Date()\n\t\t},\n\t\tcreator = this.getTiddlerText(USER_NAME_TITLE);\n\tif(creator) {\n\t\tfields.creator = creator;\n\t}\n\treturn fields;\n};\n\n/*\nReturn a hashmap of the fields that should be set when a tiddler is modified\n*/\nexports.getModificationFields = function() {\n\tvar fields = Object.create(null),\n\t\tmodifier = this.getTiddlerText(USER_NAME_TITLE);\n\tfields.modified = new Date();\n\tif(modifier) {\n\t\tfields.modifier = modifier;\n\t}\n\treturn fields;\n};\n\n/*\nReturn a sorted array of tiddler titles. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.getTiddlers = function(options) {\n\toptions = options || Object.create(null);\n\tvar self = this,\n\t\tsortField = options.sortField || \"title\",\n\t\ttiddlers = [], t, titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tif(options.includeSystem || !self.isSystemTiddler(title)) {\n\t\t\tif(!options.excludeTag || !tiddler.hasTag(options.excludeTag)) {\n\t\t\t\ttiddlers.push(tiddler);\n\t\t\t}\n\t\t}\n\t});\n\ttiddlers.sort(function(a,b) {\n\t\tvar aa = a.fields[sortField].toLowerCase() || \"\",\n\t\t\tbb = b.fields[sortField].toLowerCase() || \"\";\n\t\tif(aa < bb) {\n\t\t\treturn -1;\n\t\t} else {\n\t\t\tif(aa > bb) {\n\t\t\t\treturn 1;\n\t\t\t} else {\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t}\n\t});\n\tfor(t=0; t<tiddlers.length; t++) {\n\t\ttitles.push(tiddlers[t].fields.title);\n\t}\n\treturn titles;\n};\n\nexports.countTiddlers = function(excludeTag) {\n\tvar tiddlers = this.getTiddlers({excludeTag: excludeTag});\n\treturn $tw.utils.count(tiddlers);\n};\n\n/*\nReturns a function iterator(callback) that iterates through the specified titles, and invokes the callback with callback(tiddler,title)\n*/\nexports.makeTiddlerIterator = function(titles) {\n\tvar self = this;\n\tif(!$tw.utils.isArray(titles)) {\n\t\ttitles = Object.keys(titles);\n\t} else {\n\t\ttitles = titles.slice(0);\n\t}\n\treturn function(callback) {\n\t\ttitles.forEach(function(title) {\n\t\t\tcallback(self.getTiddler(title),title);\n\t\t});\n\t};\n};\n\n/*\nSort an array of tiddler titles by a specified field\n\ttitles: array of titles (sorted in place)\n\tsortField: name of field to sort by\n\tisDescending: true if the sort should be descending\n\tisCaseSensitive: true if the sort should consider upper and lower case letters to be different\n*/\nexports.sortTiddlers = function(titles,sortField,isDescending,isCaseSensitive,isNumeric) {\n\tvar self = this;\n\ttitles.sort(function(a,b) {\n\t\tvar x,y,\n\t\t\tcompareNumbers = function(x,y) {\n\t\t\t\tvar result = \n\t\t\t\t\tisNaN(x) && !isNaN(y) ? (isDescending ? -1 : 1) :\n\t\t\t\t\t!isNaN(x) && isNaN(y) ? (isDescending ? 1 : -1) :\n\t\t\t\t\t (isDescending ? y - x : x - y);\n\t\t\t\treturn result;\n\t\t\t};\n\t\tif(sortField !== \"title\") {\n\t\t\tvar tiddlerA = self.getTiddler(a),\n\t\t\t\ttiddlerB = self.getTiddler(b);\n\t\t\tif(tiddlerA) {\n\t\t\t\ta = tiddlerA.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\ta = \"\";\n\t\t\t}\n\t\t\tif(tiddlerB) {\n\t\t\t\tb = tiddlerB.fields[sortField] || \"\";\n\t\t\t} else {\n\t\t\t\tb = \"\";\n\t\t\t}\n\t\t}\n\t\tx = Number(a);\n\t\ty = Number(b);\n\t\tif(isNumeric && (!isNaN(x) || !isNaN(y))) {\n\t\t\treturn compareNumbers(x,y);\n\t\t} else if($tw.utils.isDate(a) && $tw.utils.isDate(b)) {\n\t\t\treturn isDescending ? b - a : a - b;\n\t\t} else {\n\t\t\ta = String(a);\n\t\t\tb = String(b);\n\t\t\tif(!isCaseSensitive) {\n\t\t\t\ta = a.toLowerCase();\n\t\t\t\tb = b.toLowerCase();\n\t\t\t}\n\t\t\treturn isDescending ? b.localeCompare(a) : a.localeCompare(b);\n\t\t}\n\t});\n};\n\n/*\nFor every tiddler invoke a callback(title,tiddler) with `this` set to the wiki object. Options include:\nsortField: field to sort by\nexcludeTag: tag to exclude\nincludeSystem: whether to include system tiddlers (defaults to false)\n*/\nexports.forEachTiddler = function(/* [options,]callback */) {\n\tvar arg = 0,\n\t\toptions = arguments.length >= 2 ? arguments[arg++] : {},\n\t\tcallback = arguments[arg++],\n\t\ttitles = this.getTiddlers(options),\n\t\tt, tiddler;\n\tfor(t=0; t<titles.length; t++) {\n\t\ttiddler = this.getTiddler(titles[t]);\n\t\tif(tiddler) {\n\t\t\tcallback.call(this,tiddler.fields.title,tiddler);\n\t\t}\n\t}\n};\n\n/*\nReturn an array of tiddler titles that are directly linked from the specified tiddler\n*/\nexports.getTiddlerLinks = function(title) {\n\tvar self = this;\n\t// We'll cache the links so they only get computed if the tiddler changes\n\treturn this.getCacheForTiddler(title,\"links\",function() {\n\t\t// Parse the tiddler\n\t\tvar parser = self.parseTiddler(title);\n\t\t// Count up the links\n\t\tvar links = [],\n\t\t\tcheckParseTree = function(parseTree) {\n\t\t\t\tfor(var t=0; t<parseTree.length; t++) {\n\t\t\t\t\tvar parseTreeNode = parseTree[t];\n\t\t\t\t\tif(parseTreeNode.type === \"link\" && parseTreeNode.attributes.to && parseTreeNode.attributes.to.type === \"string\") {\n\t\t\t\t\t\tvar value = parseTreeNode.attributes.to.value;\n\t\t\t\t\t\tif(links.indexOf(value) === -1) {\n\t\t\t\t\t\t\tlinks.push(value);\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\tif(parseTreeNode.children) {\n\t\t\t\t\t\tcheckParseTree(parseTreeNode.children);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t};\n\t\tif(parser) {\n\t\t\tcheckParseTree(parser.tree);\n\t\t}\n\t\treturn links;\n\t});\n};\n\n/*\nReturn an array of tiddler titles that link to the specified tiddler\n*/\nexports.getTiddlerBacklinks = function(targetTitle) {\n\tvar self = this,\n\t\tbacklinks = [];\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\tif(links.indexOf(targetTitle) !== -1) {\n\t\t\tbacklinks.push(title);\n\t\t}\n\t});\n\treturn backlinks;\n};\n\n/*\nReturn a hashmap of tiddler titles that are referenced but not defined. Each value is the number of times the missing tiddler is referenced\n*/\nexports.getMissingTitles = function() {\n\tvar self = this,\n\t\tmissing = [];\n// We should cache the missing tiddler list, even if we recreate it every time any tiddler is modified\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tif((!self.tiddlerExists(link) && !self.isShadowTiddler(link)) && missing.indexOf(link) === -1) {\n\t\t\t\tmissing.push(link);\n\t\t\t}\n\t\t});\n\t});\n\treturn missing;\n};\n\nexports.getOrphanTitles = function() {\n\tvar self = this,\n\t\torphans = this.getTiddlers();\n\tthis.forEachTiddler(function(title,tiddler) {\n\t\tvar links = self.getTiddlerLinks(title);\n\t\t$tw.utils.each(links,function(link) {\n\t\t\tvar p = orphans.indexOf(link);\n\t\t\tif(p !== -1) {\n\t\t\t\torphans.splice(p,1);\n\t\t\t}\n\t\t});\n\t});\n\treturn orphans; // Todo\n};\n\n/*\nRetrieves a list of the tiddler titles that are tagged with a given tag\n*/\nexports.getTiddlersWithTag = function(tag) {\n\tvar self = this;\n\treturn this.getGlobalCache(\"taglist-\" + tag,function() {\n\t\tvar tagmap = self.getTagMap();\n\t\treturn self.sortByList(tagmap[tag],tag);\n\t});\n};\n\n/*\nGet a hashmap by tag of arrays of tiddler titles\n*/\nexports.getTagMap = function() {\n\tvar self = this;\n\treturn this.getGlobalCache(\"tagmap\",function() {\n\t\tvar tags = Object.create(null),\n\t\t\tstoreTags = function(tagArray,title) {\n\t\t\t\tif(tagArray) {\n\t\t\t\t\tfor(var index=0; index<tagArray.length; index++) {\n\t\t\t\t\t\tvar tag = tagArray[index];\n\t\t\t\t\t\tif($tw.utils.hop(tags,tag)) {\n\t\t\t\t\t\t\ttags[tag].push(title);\n\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\ttags[tag] = [title];\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t},\n\t\t\ttitle, tiddler;\n\t\t// Collect up all the tags\n\t\tself.eachShadow(function(tiddler,title) {\n\t\t\tif(!self.tiddlerExists(title)) {\n\t\t\t\ttiddler = self.getTiddler(title);\n\t\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t\t}\n\t\t});\n\t\tself.each(function(tiddler,title) {\n\t\t\tstoreTags(tiddler.fields.tags,title);\n\t\t});\n\t\treturn tags;\n\t});\n};\n\n/*\nLookup a given tiddler and return a list of all the tiddlers that include it in the specified list field\n*/\nexports.findListingsOfTiddler = function(targetTitle,fieldName) {\n\tfieldName = fieldName || \"list\";\n\tvar titles = [];\n\tthis.each(function(tiddler,title) {\n\t\tvar list = $tw.utils.parseStringArray(tiddler.fields[fieldName]);\n\t\tif(list && list.indexOf(targetTitle) !== -1) {\n\t\t\ttitles.push(title);\n\t\t}\n\t});\n\treturn titles;\n};\n\n/*\nSorts an array of tiddler titles according to an ordered list\n*/\nexports.sortByList = function(array,listTitle) {\n\tvar list = this.getTiddlerList(listTitle);\n\tif(!array || array.length === 0) {\n\t\treturn [];\n\t} else {\n\t\tvar titles = [], t, title;\n\t\t// First place any entries that are present in the list\n\t\tfor(t=0; t<list.length; t++) {\n\t\t\ttitle = list[t];\n\t\t\tif(array.indexOf(title) !== -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Then place any remaining entries\n\t\tfor(t=0; t<array.length; t++) {\n\t\t\ttitle = array[t];\n\t\t\tif(list.indexOf(title) === -1) {\n\t\t\t\ttitles.push(title);\n\t\t\t}\n\t\t}\n\t\t// Finally obey the list-before and list-after fields of each tiddler in turn\n\t\tvar sortedTitles = titles.slice(0);\n\t\tfor(t=0; t<sortedTitles.length; t++) {\n\t\t\ttitle = sortedTitles[t];\n\t\t\tvar currPos = titles.indexOf(title),\n\t\t\t\tnewPos = -1,\n\t\t\t\ttiddler = this.getTiddler(title);\n\t\t\tif(tiddler) {\n\t\t\t\tvar beforeTitle = tiddler.fields[\"list-before\"],\n\t\t\t\t\tafterTitle = tiddler.fields[\"list-after\"];\n\t\t\t\tif(beforeTitle === \"\") {\n\t\t\t\t\tnewPos = 0;\n\t\t\t\t} else if(beforeTitle) {\n\t\t\t\t\tnewPos = titles.indexOf(beforeTitle);\n\t\t\t\t} else if(afterTitle) {\n\t\t\t\t\tnewPos = titles.indexOf(afterTitle);\n\t\t\t\t\tif(newPos >= 0) {\n\t\t\t\t\t\t++newPos;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(newPos === -1) {\n\t\t\t\t\tnewPos = currPos;\n\t\t\t\t}\n\t\t\t\tif(newPos !== currPos) {\n\t\t\t\t\ttitles.splice(currPos,1);\n\t\t\t\t\tif(newPos >= currPos) {\n\t\t\t\t\t\tnewPos--;\n\t\t\t\t\t}\n\t\t\t\t\ttitles.splice(newPos,0,title);\n\t\t\t\t}\n\t\t\t}\n\n\t\t}\n\t\treturn titles;\n\t}\n};\n\nexports.getSubTiddler = function(title,subTiddlerTitle) {\n\tvar bundleInfo = this.getPluginInfo(title) || this.getTiddlerDataCached(title);\n\tif(bundleInfo && bundleInfo.tiddlers) {\n\t\tvar subTiddler = bundleInfo.tiddlers[subTiddlerTitle];\n\t\tif(subTiddler) {\n\t\t\treturn new $tw.Tiddler(subTiddler);\n\t\t}\n\t}\n\treturn null;\n};\n\n/*\nRetrieve a tiddler as a JSON string of the fields\n*/\nexports.getTiddlerAsJson = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\tvar fields = Object.create(null);\n\t\t$tw.utils.each(tiddler.fields,function(value,name) {\n\t\t\tfields[name] = tiddler.getFieldString(name);\n\t\t});\n\t\treturn JSON.stringify(fields);\n\t} else {\n\t\treturn JSON.stringify({title: title});\n\t}\n};\n\n/*\nGet the content of a tiddler as a JavaScript object. How this is done depends on the type of the tiddler:\n\napplication/json: the tiddler JSON is parsed into an object\napplication/x-tiddler-dictionary: the tiddler is parsed as sequence of name:value pairs\n\nOther types currently just return null.\n\ntitleOrTiddler: string tiddler title or a tiddler object\ndefaultData: default data to be returned if the tiddler is missing or doesn't contain data\n\nNote that the same value is returned for repeated calls for the same tiddler data. The value is frozen to prevent modification; otherwise modifications would be visible to all callers\n*/\nexports.getTiddlerDataCached = function(titleOrTiddler,defaultData) {\n\tvar self = this,\n\t\ttiddler = titleOrTiddler;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler) {\n\t\treturn this.getCacheForTiddler(tiddler.fields.title,\"data\",function() {\n\t\t\t// Return the frozen value\n\t\t\tvar value = self.getTiddlerData(tiddler.fields.title,defaultData);\n\t\t\t$tw.utils.deepFreeze(value);\n\t\t\treturn value;\n\t\t});\n\t} else {\n\t\treturn defaultData;\n\t}\n};\n\n/*\nAlternative, uncached version of getTiddlerDataCached(). The return value can be mutated freely and reused\n*/\nexports.getTiddlerData = function(titleOrTiddler,defaultData) {\n\tvar tiddler = titleOrTiddler,\n\t\tdata;\n\tif(!(tiddler instanceof $tw.Tiddler)) {\n\t\ttiddler = this.getTiddler(tiddler);\t\n\t}\n\tif(tiddler && tiddler.fields.text) {\n\t\tswitch(tiddler.fields.type) {\n\t\t\tcase \"application/json\":\n\t\t\t\t// JSON tiddler\n\t\t\t\ttry {\n\t\t\t\t\tdata = JSON.parse(tiddler.fields.text);\n\t\t\t\t} catch(ex) {\n\t\t\t\t\treturn defaultData;\n\t\t\t\t}\n\t\t\t\treturn data;\n\t\t\tcase \"application/x-tiddler-dictionary\":\n\t\t\t\treturn $tw.utils.parseFields(tiddler.fields.text);\n\t\t}\n\t}\n\treturn defaultData;\n};\n\n/*\nExtract an indexed field from within a data tiddler\n*/\nexports.extractTiddlerDataItem = function(titleOrTiddler,index,defaultText) {\n\tvar data = this.getTiddlerData(titleOrTiddler,Object.create(null)),\n\t\ttext;\n\tif(data && $tw.utils.hop(data,index)) {\n\t\ttext = data[index];\n\t}\n\tif(typeof text === \"string\" || typeof text === \"number\") {\n\t\treturn text.toString();\n\t} else {\n\t\treturn defaultText;\n\t}\n};\n\n/*\nSet a tiddlers content to a JavaScript object. Currently this is done by setting the tiddler's type to \"application/json\" and setting the text to the JSON text of the data.\ntitle: title of tiddler\ndata: object that can be serialised to JSON\nfields: optional hashmap of additional tiddler fields to be set\n*/\nexports.setTiddlerData = function(title,data,fields) {\n\tvar existingTiddler = this.getTiddler(title),\n\t\tnewFields = {\n\t\t\ttitle: title\n\t};\n\tif(existingTiddler && existingTiddler.fields.type === \"application/x-tiddler-dictionary\") {\n\t\tnewFields.text = $tw.utils.makeTiddlerDictionary(data);\n\t} else {\n\t\tnewFields.type = \"application/json\";\n\t\tnewFields.text = JSON.stringify(data,null,$tw.config.preferences.jsonSpaces);\n\t}\n\tthis.addTiddler(new $tw.Tiddler(this.getCreationFields(),existingTiddler,fields,newFields,this.getModificationFields()));\n};\n\n/*\nReturn the content of a tiddler as an array containing each line\n*/\nexports.getTiddlerList = function(title,field,index) {\n\tif(index) {\n\t\treturn $tw.utils.parseStringArray(this.extractTiddlerDataItem(title,index,\"\"));\n\t}\n\tfield = field || \"list\";\n\tvar tiddler = this.getTiddler(title);\n\tif(tiddler) {\n\t\treturn ($tw.utils.parseStringArray(tiddler.fields[field]) || []).slice(0);\n\t}\n\treturn [];\n};\n\n// Return a named global cache object. Global cache objects are cleared whenever a tiddler change occurs\nexports.getGlobalCache = function(cacheName,initializer) {\n\tthis.globalCache = this.globalCache || Object.create(null);\n\tif($tw.utils.hop(this.globalCache,cacheName)) {\n\t\treturn this.globalCache[cacheName];\n\t} else {\n\t\tthis.globalCache[cacheName] = initializer();\n\t\treturn this.globalCache[cacheName];\n\t}\n};\n\nexports.clearGlobalCache = function() {\n\tthis.globalCache = Object.create(null);\n};\n\n// Return the named cache object for a tiddler. If the cache doesn't exist then the initializer function is invoked to create it\nexports.getCacheForTiddler = function(title,cacheName,initializer) {\n\tthis.caches = this.caches || Object.create(null);\n\tvar caches = this.caches[title];\n\tif(caches && caches[cacheName]) {\n\t\treturn caches[cacheName];\n\t} else {\n\t\tif(!caches) {\n\t\t\tcaches = Object.create(null);\n\t\t\tthis.caches[title] = caches;\n\t\t}\n\t\tcaches[cacheName] = initializer();\n\t\treturn caches[cacheName];\n\t}\n};\n\n// Clear all caches associated with a particular tiddler, or, if the title is null, clear all the caches for all the tiddlers\nexports.clearCache = function(title) {\n\tif(title) {\n\t\tthis.caches = this.caches || Object.create(null);\n\t\tif($tw.utils.hop(this.caches,title)) {\n\t\t\tdelete this.caches[title];\n\t\t}\n\t} else {\n\t\tthis.caches = Object.create(null);\n\t}\n};\n\nexports.initParsers = function(moduleType) {\n\t// Install the parser modules\n\t$tw.Wiki.parsers = {};\n\tvar self = this;\n\t$tw.modules.forEachModuleOfType(\"parser\",function(title,module) {\n\t\tfor(var f in module) {\n\t\t\tif($tw.utils.hop(module,f)) {\n\t\t\t\t$tw.Wiki.parsers[f] = module[f]; // Store the parser class\n\t\t\t}\n\t\t}\n\t});\n};\n\n/*\nParse a block of text of a specified MIME type\n\ttype: content type of text to be parsed\n\ttext: text\n\toptions: see below\nOptions include:\n\tparseAsInline: if true, the text of the tiddler will be parsed as an inline run\n\t_canonical_uri: optional string of the canonical URI of this content\n*/\nexports.parseText = function(type,text,options) {\n\toptions = options || {};\n\t// Select a parser\n\tvar Parser = $tw.Wiki.parsers[type];\n\tif(!Parser && $tw.utils.getFileExtensionInfo(type)) {\n\t\tParser = $tw.Wiki.parsers[$tw.utils.getFileExtensionInfo(type).type];\n\t}\n\tif(!Parser) {\n\t\tParser = $tw.Wiki.parsers[options.defaultType || \"text/vnd.tiddlywiki\"];\n\t}\n\tif(!Parser) {\n\t\treturn null;\n\t}\n\t// Return the parser instance\n\treturn new Parser(type,text,{\n\t\tparseAsInline: options.parseAsInline,\n\t\twiki: this,\n\t\t_canonical_uri: options._canonical_uri\n\t});\n};\n\n/*\nParse a tiddler according to its MIME type\n*/\nexports.parseTiddler = function(title,options) {\n\toptions = $tw.utils.extend({},options);\n\tvar cacheType = options.parseAsInline ? \"inlineParseTree\" : \"blockParseTree\",\n\t\ttiddler = this.getTiddler(title),\n\t\tself = this;\n\treturn tiddler ? this.getCacheForTiddler(title,cacheType,function() {\n\t\t\tif(tiddler.hasField(\"_canonical_uri\")) {\n\t\t\t\toptions._canonical_uri = tiddler.fields._canonical_uri;\n\t\t\t}\n\t\t\treturn self.parseText(tiddler.fields.type,tiddler.fields.text,options);\n\t\t}) : null;\n};\n\nexports.parseTextReference = function(title,field,index,options) {\n\tvar tiddler,text;\n\tif(options.subTiddler) {\n\t\ttiddler = this.getSubTiddler(title,options.subTiddler);\n\t} else {\n\t\ttiddler = this.getTiddler(title);\n\t\tif(field === \"text\" || (!field && !index)) {\n\t\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\t\treturn this.parseTiddler(title,options);\n\t\t}\n\t}\n\tif(field === \"text\" || (!field && !index)) {\n\t\tif(tiddler && tiddler.fields) {\n\t\t\treturn this.parseText(tiddler.fields.type || \"text/vnd.tiddlywiki\",tiddler.fields.text,options);\t\t\t\n\t\t} else {\n\t\t\treturn null;\n\t\t}\n\t} else if(field) {\n\t\tif(field === \"title\") {\n\t\t\ttext = title;\n\t\t} else {\n\t\t\tif(!tiddler || !tiddler.hasField(field)) {\n\t\t\t\treturn null;\n\t\t\t}\n\t\t\ttext = tiddler.fields[field];\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text.toString(),options);\n\t} else if(index) {\n\t\tthis.getTiddlerText(title); // Force the tiddler to be lazily loaded\n\t\ttext = this.extractTiddlerDataItem(tiddler,index,undefined);\n\t\tif(text === undefined) {\n\t\t\treturn null;\n\t\t}\n\t\treturn this.parseText(\"text/vnd.tiddlywiki\",text,options);\n\t}\n};\n\n/*\nMake a widget tree for a parse tree\nparser: parser object\noptions: see below\nOptions include:\ndocument: optional document to use\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.makeWidget = function(parser,options) {\n\toptions = options || {};\n\tvar widgetNode = {\n\t\t\ttype: \"widget\",\n\t\t\tchildren: []\n\t\t},\n\t\tcurrWidgetNode = widgetNode;\n\t// Create set variable widgets for each variable\n\t$tw.utils.each(options.variables,function(value,name) {\n\t\tvar setVariableWidget = {\n\t\t\ttype: \"set\",\n\t\t\tattributes: {\n\t\t\t\tname: {type: \"string\", value: name},\n\t\t\t\tvalue: {type: \"string\", value: value}\n\t\t\t},\n\t\t\tchildren: []\n\t\t};\n\t\tcurrWidgetNode.children = [setVariableWidget];\n\t\tcurrWidgetNode = setVariableWidget;\n\t});\n\t// Add in the supplied parse tree nodes\n\tcurrWidgetNode.children = parser ? parser.tree : [];\n\t// Create the widget\n\treturn new widget.widget(widgetNode,{\n\t\twiki: this,\n\t\tdocument: options.document || $tw.fakeDocument,\n\t\tparentWidget: options.parentWidget\n\t});\n};\n\n/*\nMake a widget tree for transclusion\ntitle: target tiddler title\noptions: as for wiki.makeWidget() plus:\noptions.field: optional field to transclude (defaults to \"text\")\noptions.mode: transclusion mode \"inline\" or \"block\"\noptions.children: optional array of children for the transclude widget\n*/\nexports.makeTranscludeWidget = function(title,options) {\n\toptions = options || {};\n\tvar parseTree = {tree: [{\n\t\t\ttype: \"element\",\n\t\t\ttag: \"div\",\n\t\t\tchildren: [{\n\t\t\t\ttype: \"transclude\",\n\t\t\t\tattributes: {\n\t\t\t\t\ttiddler: {\n\t\t\t\t\t\tname: \"tiddler\",\n\t\t\t\t\t\ttype: \"string\",\n\t\t\t\t\t\tvalue: title}},\n\t\t\t\tisBlock: !options.parseAsInline}]}\n\t]};\n\tif(options.field) {\n\t\tparseTree.tree[0].children[0].attributes.field = {type: \"string\", value: options.field};\n\t}\n\tif(options.mode) {\n\t\tparseTree.tree[0].children[0].attributes.mode = {type: \"string\", value: options.mode};\n\t}\n\tif(options.children) {\n\t\tparseTree.tree[0].children[0].children = options.children;\n\t}\n\treturn $tw.wiki.makeWidget(parseTree,options);\n};\n\n/*\nParse text in a specified format and render it into another format\n\toutputType: content type for the output\n\ttextType: content type of the input text\n\ttext: input text\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderText = function(outputType,textType,text,options) {\n\toptions = options || {};\n\tvar parser = this.parseText(textType,text,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : container.textContent;\n};\n\n/*\nParse text from a tiddler and render it into another format\n\toutputType: content type for the output\n\ttitle: title of the tiddler to be rendered\n\toptions: see below\nOptions include:\nvariables: hashmap of variables to set\nparentWidget: optional parent widget for the root node\n*/\nexports.renderTiddler = function(outputType,title,options) {\n\toptions = options || {};\n\tvar parser = this.parseTiddler(title,options),\n\t\twidgetNode = this.makeWidget(parser,options);\n\tvar container = $tw.fakeDocument.createElement(\"div\");\n\twidgetNode.render(container,null);\n\treturn outputType === \"text/html\" ? container.innerHTML : (outputType === \"text/plain-formatted\" ? container.formattedTextContent : container.textContent);\n};\n\n/*\nReturn an array of tiddler titles that match a search string\n\ttext: The text string to search for\n\toptions: see below\nOptions available:\n\tsource: an iterator function for the source tiddlers, called source(iterator), where iterator is called as iterator(tiddler,title)\n\texclude: An array of tiddler titles to exclude from the search\n\tinvert: If true returns tiddlers that do not contain the specified string\n\tcaseSensitive: If true forces a case sensitive search\n\tliteral: If true, searches for literal string, rather than separate search terms\n\tfield: If specified, restricts the search to the specified field\n*/\nexports.search = function(text,options) {\n\toptions = options || {};\n\tvar self = this,\n\t\tt,\n\t\tinvert = !!options.invert;\n\t// Convert the search string into a regexp for each term\n\tvar terms, searchTermsRegExps,\n\t\tflags = options.caseSensitive ? \"\" : \"i\";\n\tif(options.literal) {\n\t\tif(text.length === 0) {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [new RegExp(\"(\" + $tw.utils.escapeRegExp(text) + \")\",flags)];\n\t\t}\n\t} else {\n\t\tterms = text.split(/ +/);\n\t\tif(terms.length === 1 && terms[0] === \"\") {\n\t\t\tsearchTermsRegExps = null;\n\t\t} else {\n\t\t\tsearchTermsRegExps = [];\n\t\t\tfor(t=0; t<terms.length; t++) {\n\t\t\t\tsearchTermsRegExps.push(new RegExp(\"(\" + $tw.utils.escapeRegExp(terms[t]) + \")\",flags));\n\t\t\t}\n\t\t}\n\t}\n\t// Function to check a given tiddler for the search term\n\tvar searchTiddler = function(title) {\n\t\tif(!searchTermsRegExps) {\n\t\t\treturn true;\n\t\t}\n\t\tvar tiddler = self.getTiddler(title);\n\t\tif(!tiddler) {\n\t\t\ttiddler = new $tw.Tiddler({title: title, text: \"\", type: \"text/vnd.tiddlywiki\"});\n\t\t}\n\t\tvar contentTypeInfo = $tw.config.contentTypeInfo[tiddler.fields.type] || $tw.config.contentTypeInfo[\"text/vnd.tiddlywiki\"],\n\t\t\tmatch;\n\t\tfor(var t=0; t<searchTermsRegExps.length; t++) {\n\t\t\tmatch = false;\n\t\t\tif(options.field) {\n\t\t\t\tmatch = searchTermsRegExps[t].test(tiddler.getFieldString(options.field));\n\t\t\t} else {\n\t\t\t\t// Search title, tags and body\n\t\t\t\tif(contentTypeInfo.encoding === \"utf8\") {\n\t\t\t\t\tmatch = match || searchTermsRegExps[t].test(tiddler.fields.text);\n\t\t\t\t}\n\t\t\t\tvar tags = tiddler.fields.tags ? tiddler.fields.tags.join(\"\\0\") : \"\";\n\t\t\t\tmatch = match || searchTermsRegExps[t].test(tags) || searchTermsRegExps[t].test(tiddler.fields.title);\n\t\t\t}\n\t\t\tif(!match) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\treturn true;\n\t};\n\t// Loop through all the tiddlers doing the search\n\tvar results = [],\n\t\tsource = options.source || this.each;\n\tsource(function(tiddler,title) {\n\t\tif(searchTiddler(title) !== options.invert) {\n\t\t\tresults.push(title);\n\t\t}\n\t});\n\t// Remove any of the results we have to exclude\n\tif(options.exclude) {\n\t\tfor(t=0; t<options.exclude.length; t++) {\n\t\t\tvar p = results.indexOf(options.exclude[t]);\n\t\t\tif(p !== -1) {\n\t\t\t\tresults.splice(p,1);\n\t\t\t}\n\t\t}\n\t}\n\treturn results;\n};\n\n/*\nTrigger a load for a tiddler if it is skinny. Returns the text, or undefined if the tiddler is missing, null if the tiddler is being lazily loaded.\n*/\nexports.getTiddlerText = function(title,defaultText) {\n\tvar tiddler = this.getTiddler(title);\n\t// Return undefined if the tiddler isn't found\n\tif(!tiddler) {\n\t\treturn defaultText;\n\t}\n\tif(tiddler.fields.text !== undefined) {\n\t\t// Just return the text if we've got it\n\t\treturn tiddler.fields.text;\n\t} else {\n\t\t// Tell any listeners about the need to lazily load this tiddler\n\t\tthis.dispatchEvent(\"lazyLoad\",title);\n\t\t// Indicate that the text is being loaded\n\t\treturn null;\n\t}\n};\n\n/*\nRead an array of browser File objects, invoking callback(tiddlerFieldsArray) once they're all read\n*/\nexports.readFiles = function(files,callback) {\n\tvar result = [],\n\t\toutstanding = files.length;\n\tfor(var f=0; f<files.length; f++) {\n\t\tthis.readFile(files[f],function(tiddlerFieldsArray) {\n\t\t\tresult.push.apply(result,tiddlerFieldsArray);\n\t\t\tif(--outstanding === 0) {\n\t\t\t\tcallback(result);\n\t\t\t}\n\t\t});\n\t}\n\treturn files.length;\n};\n\n/*\nRead a browser File object, invoking callback(tiddlerFieldsArray) with an array of tiddler fields objects\n*/\nexports.readFile = function(file,callback) {\n\t// Get the type, falling back to the filename extension\n\tvar self = this,\n\t\ttype = file.type;\n\tif(type === \"\" || !type) {\n\t\tvar dotPos = file.name.lastIndexOf(\".\");\n\t\tif(dotPos !== -1) {\n\t\t\tvar fileExtensionInfo = $tw.utils.getFileExtensionInfo(file.name.substr(dotPos));\n\t\t\tif(fileExtensionInfo) {\n\t\t\t\ttype = fileExtensionInfo.type;\n\t\t\t}\n\t\t}\n\t}\n\t// Figure out if we're reading a binary file\n\tvar contentTypeInfo = $tw.config.contentTypeInfo[type],\n\t\tisBinary = contentTypeInfo ? contentTypeInfo.encoding === \"base64\" : false;\n\t// Log some debugging information\n\tif($tw.log.IMPORT) {\n\t\tconsole.log(\"Importing file '\" + file.name + \"', type: '\" + type + \"', isBinary: \" + isBinary);\n\t}\n\t// Create the FileReader\n\tvar reader = new FileReader();\n\t// Onload\n\treader.onload = function(event) {\n\t\t// Deserialise the file contents\n\t\tvar text = event.target.result,\n\t\t\ttiddlerFields = {title: file.name || \"Untitled\", type: type};\n\t\t// Are we binary?\n\t\tif(isBinary) {\n\t\t\t// The base64 section starts after the first comma in the data URI\n\t\t\tvar commaPos = text.indexOf(\",\");\n\t\t\tif(commaPos !== -1) {\n\t\t\t\ttiddlerFields.text = text.substr(commaPos+1);\n\t\t\t\tcallback([tiddlerFields]);\n\t\t\t}\n\t\t} else {\n\t\t\t// Check whether this is an encrypted TiddlyWiki file\n\t\t\tvar encryptedJson = $tw.utils.extractEncryptedStoreArea(text);\n\t\t\tif(encryptedJson) {\n\t\t\t\t// If so, attempt to decrypt it with the current password\n\t\t\t\t$tw.utils.decryptStoreAreaInteractive(encryptedJson,function(tiddlers) {\n\t\t\t\t\tcallback(tiddlers);\n\t\t\t\t});\n\t\t\t} else {\n\t\t\t\t// Otherwise, just try to deserialise any tiddlers in the file\n\t\t\t\tcallback(self.deserializeTiddlers(type,text,tiddlerFields));\n\t\t\t}\n\t\t}\n\t};\n\t// Kick off the read\n\tif(isBinary) {\n\t\treader.readAsDataURL(file);\n\t} else {\n\t\treader.readAsText(file);\n\t}\n};\n\n/*\nFind any existing draft of a specified tiddler\n*/\nexports.findDraft = function(targetTitle) {\n\tvar draftTitle = undefined;\n\tthis.forEachTiddler({includeSystem: true},function(title,tiddler) {\n\t\tif(tiddler.fields[\"draft.title\"] && tiddler.fields[\"draft.of\"] === targetTitle) {\n\t\t\tdraftTitle = title;\n\t\t}\n\t});\n\treturn draftTitle;\n}\n\n/*\nCheck whether the specified draft tiddler has been modified\n*/\nexports.isDraftModified = function(title) {\n\tvar tiddler = this.getTiddler(title);\n\tif(!tiddler.isDraft()) {\n\t\treturn false;\n\t}\n\tvar ignoredFields = [\"created\", \"modified\", \"title\", \"draft.title\", \"draft.of\"],\n\t\torigTiddler = this.getTiddler(tiddler.fields[\"draft.of\"]);\n\tif(!origTiddler) {\n\t\treturn tiddler.fields.text !== \"\";\n\t}\n\treturn tiddler.fields[\"draft.title\"] !== tiddler.fields[\"draft.of\"] || !tiddler.isEqual(origTiddler,ignoredFields);\n};\n\n/*\nAdd a new record to the top of the history stack\ntitle: a title string or an array of title strings\nfromPageRect: page coordinates of the origin of the navigation\nhistoryTitle: title of history tiddler (defaults to $:/HistoryList)\n*/\nexports.addToHistory = function(title,fromPageRect,historyTitle) {\n\tvar story = new $tw.Story({wiki: this, historyTitle: historyTitle});\n\tstory.addToHistory(title,fromPageRect);\n};\n\n/*\nInvoke the available upgrader modules\ntitles: array of tiddler titles to be processed\ntiddlers: hashmap by title of tiddler fields of pending import tiddlers. These can be modified by the upgraders. An entry with no fields indicates a tiddler that was pending import has been suppressed. When entries are added to the pending import the tiddlers hashmap may have entries that are not present in the titles array\nReturns a hashmap of messages keyed by tiddler title.\n*/\nexports.invokeUpgraders = function(titles,tiddlers) {\n\t// Collect up the available upgrader modules\n\tvar self = this;\n\tif(!this.upgraderModules) {\n\t\tthis.upgraderModules = [];\n\t\t$tw.modules.forEachModuleOfType(\"upgrader\",function(title,module) {\n\t\t\tif(module.upgrade) {\n\t\t\t\tself.upgraderModules.push(module);\n\t\t\t}\n\t\t});\n\t}\n\t// Invoke each upgrader in turn\n\tvar messages = {};\n\tfor(var t=0; t<this.upgraderModules.length; t++) {\n\t\tvar upgrader = this.upgraderModules[t],\n\t\t\tupgraderMessages = upgrader.upgrade(this,titles,tiddlers);\n\t\t$tw.utils.extend(messages,upgraderMessages);\n\t}\n\treturn messages;\n};\n\n})();\n",
"title": "$:/core/modules/wiki.js",
"type": "application/javascript",
"module-type": "wikimethod"
},
"$:/palettes/Blanca": {
"title": "$:/palettes/Blanca",
"name": "Blanca",
"description": "A clean white palette to let you focus",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #66cccc\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ffffff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #7897f3\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ccc\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #ffffff\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #7897f3\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #eeeeee\ntab-border-selected: #cccccc\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffeedd\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: #eee\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #ff9900\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Blue": {
"title": "$:/palettes/Blue",
"name": "Blue",
"description": "A blue theme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour foreground>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333353\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #ddddff\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: <<colour page-background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #5959c0\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: #ccccdd\ntab-border-selected: #ccccdd\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #eeeeff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #666666\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #ffffff\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #ffffff\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #5959c0\ntoolbar-new-button: #5eb95e\ntoolbar-options-button: rgb(128, 88, 165)\ntoolbar-save-button: #0e90d2\ntoolbar-info-button: #0e90d2\ntoolbar-edit-button: rgb(243, 123, 29)\ntoolbar-close-button: #dd514c\ntoolbar-delete-button: #dd514c\ntoolbar-cancel-button: rgb(243, 123, 29)\ntoolbar-done-button: #5eb95e\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Muted": {
"title": "$:/palettes/Muted",
"name": "Muted",
"description": "Bright tiddlers on a muted background",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #6f6f70\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #29a6ee\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #c2c1c2\nsidebar-foreground-shadow: rgba(255,255,255,0)\nsidebar-foreground: #d3d2d4\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #6f6f70\nsidebar-tab-background: #666667\nsidebar-tab-border-selected: #999\nsidebar-tab-border: #515151\nsidebar-tab-divider: #999\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: #999\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #d1d0d2\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #d5ad34\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/ContrastLight": {
"title": "$:/palettes/ContrastLight",
"name": "Contrast (Light)",
"description": "High contrast and unambiguous (light version)",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #fff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #000\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #000\ntag-foreground: #fff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
},
"$:/palettes/ContrastDark": {
"title": "$:/palettes/ContrastDark",
"name": "Contrast (Dark)",
"description": "High contrast and unambiguous (dark version)",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #f00\nalert-border: <<colour background>>\nalert-highlight: <<colour foreground>>\nalert-muted-foreground: #800\nbackground: #000\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: <<colour background>>\nbutton-foreground: <<colour foreground>>\nbutton-border: <<colour foreground>>\ncode-background: <<colour background>>\ncode-border: <<colour foreground>>\ncode-foreground: <<colour foreground>>\ndirty-indicator: #f00\ndownload-background: #080\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: <<colour foreground>>\ndropdown-tab-background: <<colour foreground>>\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #00a\nexternal-link-foreground: #00e\nforeground: #fff\nmessage-background: <<colour foreground>>\nmessage-border: <<colour background>>\nmessage-foreground: <<colour background>>\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: <<colour foreground>>\nmodal-footer-background: <<colour background>>\nmodal-footer-border: <<colour foreground>>\nmodal-header-border: <<colour foreground>>\nmuted-foreground: <<colour foreground>>\nnotification-background: <<colour background>>\nnotification-border: <<colour foreground>>\npage-background: <<colour background>>\npre-background: <<colour background>>\npre-border: <<colour foreground>>\nprimary: #00f\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: <<colour background>>\nsidebar-controls-foreground: <<colour foreground>>\nsidebar-foreground-shadow: rgba(0,0,0, 0)\nsidebar-foreground: <<colour foreground>>\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: <<colour foreground>>\nsidebar-tab-background-selected: <<colour background>>\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: <<colour foreground>>\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: <<colour foreground>>\nsidebar-tiddler-link-foreground: <<colour primary>>\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: <<colour background>>\ntab-background: <<colour foreground>>\ntab-border-selected: <<colour foreground>>\ntab-border: <<colour foreground>>\ntab-divider: <<colour foreground>>\ntab-foreground-selected: <<colour foreground>>\ntab-foreground: <<colour background>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #fff\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour foreground>>\ntiddler-controls-foreground-hover: #ddd\ntiddler-controls-foreground-selected: #fdd\ntiddler-controls-foreground: <<colour foreground>>\ntiddler-editor-background: <<colour background>>\ntiddler-editor-border-image: <<colour foreground>>\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: <<colour background>>\ntiddler-editor-fields-odd: <<colour background>>\ntiddler-info-background: <<colour background>>\ntiddler-info-border: <<colour foreground>>\ntiddler-info-tab-background: <<colour background>>\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: <<colour foreground>>\ntiddler-title-foreground: <<colour foreground>>\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: <<colour foreground>>\nvery-muted-foreground: #888888\n"
},
"$:/palettes/DarkPhotos": {
"created": "20150402111612188",
"description": "Good with dark photo backgrounds",
"modified": "20150402112344080",
"name": "DarkPhotos",
"tags": "$:/tags/Palette",
"title": "$:/palettes/DarkPhotos",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background: \nbutton-foreground: \nbutton-border: \ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #ddd\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #336438\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #ccf\nsidebar-controls-foreground: #fff\nsidebar-foreground-shadow: rgba(0,0,0, 0.5)\nsidebar-foreground: #fff\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #eee\nsidebar-tab-background-selected: rgba(255,255,255, 0.8)\nsidebar-tab-background: rgba(255,255,255, 0.4)\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: rgba(255,255,255, 0.2)\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #aaf\nsidebar-tiddler-link-foreground: #ddf\nsite-title-foreground: #fff\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button: \ntoolbar-options-button: \ntoolbar-save-button: \ntoolbar-info-button: \ntoolbar-edit-button: \ntoolbar-close-button: \ntoolbar-delete-button: \ntoolbar-cancel-button: \ntoolbar-done-button: \nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Rocker": {
"title": "$:/palettes/Rocker",
"name": "Rocker",
"description": "A dark theme",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #999999\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #000\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #cc0000\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #ffffff\nsidebar-foreground-shadow: rgba(255,255,255, 0.0)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #000\nsidebar-tab-background: <<colour tab-background>>\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: <<colour tab-divider>>\nsidebar-tab-foreground-selected: \nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #ffbb99\nsidebar-tiddler-link-foreground: #cc0000\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ffbb99\ntag-foreground: #000\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #cc0000\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/SolarFlare": {
"title": "$:/palettes/SolarFlare",
"name": "Solar Flare",
"description": "Warm, relaxing earth colours",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": ": Background Tones\n\nbase03: #002b36\nbase02: #073642\n\n: Content Tones\n\nbase01: #586e75\nbase00: #657b83\nbase0: #839496\nbase1: #93a1a1\n\n: Background Tones\n\nbase2: #eee8d5\nbase3: #fdf6e3\n\n: Accent Colors\n\nyellow: #b58900\norange: #cb4b16\nred: #dc322f\nmagenta: #d33682\nviolet: #6c71c4\nblue: #268bd2\ncyan: #2aa198\ngreen: #859900\n\n: Additional Tones (RA)\n\nbase10: #c0c4bb\nviolet-muted: #7c81b0\nblue-muted: #4e7baa\n\nyellow-hot: #ffcc44\norange-hot: #eb6d20\nred-hot: #ff2222\nblue-hot: #2298ee\ngreen-hot: #98ee22\n\n: Palette\n\n: Do not use colour macro for background and foreground\nbackground: #fdf6e3\n download-foreground: <<colour background>>\n dragger-foreground: <<colour background>>\n dropdown-background: <<colour background>>\n modal-background: <<colour background>>\n sidebar-foreground-shadow: <<colour background>>\n tiddler-background: <<colour background>>\n tiddler-border: <<colour background>>\n tiddler-link-background: <<colour background>>\n tab-background-selected: <<colour background>>\n dropdown-tab-background-selected: <<colour tab-background-selected>>\nforeground: #657b83\n dragger-background: <<colour foreground>>\n tab-foreground: <<colour foreground>>\n tab-foreground-selected: <<colour tab-foreground>>\n sidebar-tab-foreground-selected: <<colour tab-foreground-selected>>\n sidebar-tab-foreground: <<colour tab-foreground>>\n sidebar-button-foreground: <<colour foreground>>\n sidebar-controls-foreground: <<colour foreground>>\n sidebar-foreground: <<colour foreground>>\n: base03\n: base02\n: base01\n alert-muted-foreground: <<colour base01>>\n: base00\n code-foreground: <<colour base00>>\n message-foreground: <<colour base00>>\n tag-foreground: <<colour base00>>\n: base0\n sidebar-tiddler-link-foreground: <<colour base0>>\n: base1\n muted-foreground: <<colour base1>>\n blockquote-bar: <<colour muted-foreground>>\n dropdown-border: <<colour muted-foreground>>\n sidebar-muted-foreground: <<colour muted-foreground>>\n tiddler-title-foreground: <<colour muted-foreground>>\n site-title-foreground: <<colour tiddler-title-foreground>>\n: base2\n modal-footer-background: <<colour base2>>\n page-background: <<colour base2>>\n modal-backdrop: <<colour page-background>>\n notification-background: <<colour page-background>>\n code-background: <<colour page-background>>\n code-border: <<colour code-background>>\n pre-background: <<colour page-background>>\n pre-border: <<colour pre-background>>\n sidebar-tab-background-selected: <<colour page-background>>\n table-header-background: <<colour base2>>\n tag-background: <<colour base2>>\n tiddler-editor-background: <<colour base2>>\n tiddler-info-background: <<colour base2>>\n tiddler-info-tab-background: <<colour base2>>\n tab-background: <<colour base2>>\n dropdown-tab-background: <<colour tab-background>>\n: base3\n alert-background: <<colour base3>>\n message-background: <<colour base3>>\n: yellow\n: orange\n: red\n: magenta\n alert-highlight: <<colour magenta>>\n: violet\n external-link-foreground: <<colour violet>>\n: blue\n: cyan\n: green\n: base10\n tiddler-controls-foreground: <<colour base10>>\n: violet-muted\n external-link-foreground-visited: <<colour violet-muted>>\n: blue-muted\n primary: <<colour blue-muted>>\n download-background: <<colour primary>>\n tiddler-link-foreground: <<colour primary>>\n\nalert-border: #b99e2f\ndirty-indicator: #ff0000\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nmessage-border: #cfd6e6\nmodal-border: #999999\nsidebar-controls-foreground-hover:\nsidebar-muted-foreground-hover:\nsidebar-tab-background: #ded8c5\nsidebar-tiddler-link-foreground-hover:\nstatic-alert-foreground: #aaaaaa\ntab-border: #cccccc\n modal-footer-border: <<colour tab-border>>\n modal-header-border: <<colour tab-border>>\n notification-border: <<colour tab-border>>\n sidebar-tab-border: <<colour tab-border>>\n tab-border-selected: <<colour tab-border>>\n sidebar-tab-border-selected: <<colour tab-border-selected>>\ntab-divider: #d8d8d8\n sidebar-tab-divider: <<colour tab-divider>>\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-border: #dddddd\ntiddler-subtitle-foreground: #c0c0c0\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/palettes/Vanilla": {
"title": "$:/palettes/Vanilla",
"name": "Vanilla",
"description": "Pale and unobtrusive",
"tags": "$:/tags/Palette",
"type": "application/x-tiddler-dictionary",
"text": "alert-background: #ffe476\nalert-border: #b99e2f\nalert-highlight: #881122\nalert-muted-foreground: #b99e2f\nbackground: #ffffff\nblockquote-bar: <<colour muted-foreground>>\nbutton-background:\nbutton-foreground:\nbutton-border:\ncode-background: #f7f7f9\ncode-border: #e1e1e8\ncode-foreground: #dd1144\ndirty-indicator: #ff0000\ndownload-background: #34c734\ndownload-foreground: <<colour background>>\ndragger-background: <<colour foreground>>\ndragger-foreground: <<colour background>>\ndropdown-background: <<colour background>>\ndropdown-border: <<colour muted-foreground>>\ndropdown-tab-background-selected: #fff\ndropdown-tab-background: #ececec\ndropzone-background: rgba(0,200,0,0.7)\nexternal-link-background-hover: inherit\nexternal-link-background-visited: inherit\nexternal-link-background: inherit\nexternal-link-foreground-hover: inherit\nexternal-link-foreground-visited: #0000aa\nexternal-link-foreground: #0000ee\nforeground: #333333\nmessage-background: #ecf2ff\nmessage-border: #cfd6e6\nmessage-foreground: #547599\nmodal-backdrop: <<colour foreground>>\nmodal-background: <<colour background>>\nmodal-border: #999999\nmodal-footer-background: #f5f5f5\nmodal-footer-border: #dddddd\nmodal-header-border: #eeeeee\nmuted-foreground: #bbb\nnotification-background: #ffffdd\nnotification-border: #999999\npage-background: #f4f4f4\npre-background: #f5f5f5\npre-border: #cccccc\nprimary: #5778d8\nsidebar-button-foreground: <<colour foreground>>\nsidebar-controls-foreground-hover: #000000\nsidebar-controls-foreground: #aaaaaa\nsidebar-foreground-shadow: rgba(255,255,255, 0.8)\nsidebar-foreground: #acacac\nsidebar-muted-foreground-hover: #444444\nsidebar-muted-foreground: #c0c0c0\nsidebar-tab-background-selected: #f4f4f4\nsidebar-tab-background: #e0e0e0\nsidebar-tab-border-selected: <<colour tab-border-selected>>\nsidebar-tab-border: <<colour tab-border>>\nsidebar-tab-divider: #e4e4e4\nsidebar-tab-foreground-selected:\nsidebar-tab-foreground: <<colour tab-foreground>>\nsidebar-tiddler-link-foreground-hover: #444444\nsidebar-tiddler-link-foreground: #999999\nsite-title-foreground: <<colour tiddler-title-foreground>>\nstatic-alert-foreground: #aaaaaa\ntab-background-selected: #ffffff\ntab-background: #d8d8d8\ntab-border-selected: #d8d8d8\ntab-border: #cccccc\ntab-divider: #d8d8d8\ntab-foreground-selected: <<colour tab-foreground>>\ntab-foreground: #666666\ntable-border: #dddddd\ntable-footer-background: #a8a8a8\ntable-header-background: #f0f0f0\ntag-background: #ec6\ntag-foreground: #ffffff\ntiddler-background: <<colour background>>\ntiddler-border: <<colour background>>\ntiddler-controls-foreground-hover: #888888\ntiddler-controls-foreground-selected: #444444\ntiddler-controls-foreground: #cccccc\ntiddler-editor-background: #f8f8f8\ntiddler-editor-border-image: #ffffff\ntiddler-editor-border: #cccccc\ntiddler-editor-fields-even: #e0e8e0\ntiddler-editor-fields-odd: #f0f4f0\ntiddler-info-background: #f8f8f8\ntiddler-info-border: #dddddd\ntiddler-info-tab-background: #f8f8f8\ntiddler-link-background: <<colour background>>\ntiddler-link-foreground: <<colour primary>>\ntiddler-subtitle-foreground: #c0c0c0\ntiddler-title-foreground: #182955\ntoolbar-new-button:\ntoolbar-options-button:\ntoolbar-save-button:\ntoolbar-info-button:\ntoolbar-edit-button:\ntoolbar-close-button:\ntoolbar-delete-button:\ntoolbar-cancel-button:\ntoolbar-done-button:\nuntagged-background: #999999\nvery-muted-foreground: #888888\n"
},
"$:/core/readme": {
"title": "$:/core/readme",
"text": "This plugin contains TiddlyWiki's core components, comprising:\n\n* JavaScript code modules\n* Icons\n* Templates needed to create TiddlyWiki's user interface\n* British English (''en-GB'') translations of the localisable strings used by the core\n"
},
"$:/core/templates/MOTW.html": {
"title": "$:/core/templates/MOTW.html",
"text": "\\rules only filteredtranscludeinline transcludeinline entity\n<!-- The following comment is called a MOTW comment and is necessary for the TiddlyIE Internet Explorer extension -->\n<!-- saved from url=(0021)http://tiddlywiki.com --> "
},
"$:/core/templates/alltiddlers.template.html": {
"title": "$:/core/templates/alltiddlers.template.html",
"type": "text/vnd.tiddlywiki-html",
"text": "<!-- This template is provided for backwards compatibility with older versions of TiddlyWiki -->\n\n<$set name=\"exportFilter\" value=\"[!is[system]sort[title]]\">\n\n{{$:/core/templates/exporters/StaticRiver}}\n\n</$set>\n"
},
"$:/core/templates/canonical-uri-external-image": {
"title": "$:/core/templates/canonical-uri-external-image",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external images.\n\nChange the `./images/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./images/<$view field=\"title\" format=\"doubleurlencoded\"/>"
},
"$:/core/templates/canonical-uri-external-text": {
"title": "$:/core/templates/canonical-uri-external-text",
"text": "<!--\n\nThis template is used to assign the ''_canonical_uri'' field to external text files.\n\nChange the `./text/` part to a different base URI. The URI can be relative or absolute.\n\n-->\n./text/<$view field=\"title\" format=\"doubleurlencoded\"/>.tid"
},
"$:/core/templates/css-tiddler": {
"title": "$:/core/templates/css-tiddler",
"text": "<!--\n\nThis template is used for saving CSS tiddlers as a style tag with data attributes representing the tiddler fields.\n\n-->`<style`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/css\">`<$view field=\"text\" format=\"text\" />`</style>`"
},
"$:/core/templates/exporters/CsvFile": {
"title": "$:/core/templates/exporters/CsvFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/CsvFile}}",
"extension": ".csv",
"text": "\\define renderContent()\n<$text text=<<csvtiddlers filter:\"\"\"$(exportFilter)$\"\"\" format:\"quoted-comma-sep\">>/>\n\\end\n<<renderContent>>\n"
},
"$:/core/templates/exporters/JsonFile": {
"title": "$:/core/templates/exporters/JsonFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/JsonFile}}",
"extension": ".json",
"text": "\\define renderContent()\n<$text text=<<jsontiddlers filter:\"\"\"$(exportFilter)$\"\"\">>/>\n\\end\n<<renderContent>>\n"
},
"$:/core/templates/exporters/StaticRiver": {
"title": "$:/core/templates/exporters/StaticRiver",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/StaticRiver}}",
"extension": ".html",
"text": "\\define tv-wikilink-template() #$uri_encoded$\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n<section class=\"tc-story-river\">\n{{$:/core/templates/exporters/StaticRiver/Content||$:/core/templates/html-tiddler}}\n</section>\n</body>\n</html>\n"
},
"$:/core/templates/exporters/StaticRiver/Content": {
"title": "$:/core/templates/exporters/StaticRiver/Content",
"text": "\\define renderContent()\n{{{ $(exportFilter)$ ||$:/core/templates/static-tiddler}}}\n\\end\n<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\">\n<<renderContent>>\n</$importvariables>\n"
},
"$:/core/templates/exporters/TidFile": {
"title": "$:/core/templates/exporters/TidFile",
"tags": "$:/tags/Exporter",
"description": "{{$:/language/Exporters/TidFile}}",
"extension": ".tid",
"text": "\\define renderContent()\n{{{ $(exportFilter)$ +[limit[1]] ||$:/core/templates/tid-tiddler}}}\n\\end\n<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\"><<renderContent>></$importvariables>"
},
"$:/core/templates/html-div-tiddler": {
"title": "$:/core/templates/html-div-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as an HTML DIV tag with attributes representing the tiddler fields.\n\n-->`<div`<$fields template=' $name$=\"$encoded_value$\"'></$fields>`>\n<pre>`<$view field=\"text\" format=\"htmlencoded\" />`</pre>\n</div>`\n"
},
"$:/core/templates/html-tiddler": {
"title": "$:/core/templates/html-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers as raw HTML\n\n--><$view field=\"text\" format=\"htmlwikified\" />"
},
"$:/core/templates/javascript-tiddler": {
"title": "$:/core/templates/javascript-tiddler",
"text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields.\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\">`<$view field=\"text\" format=\"text\" />`</script>`"
},
"$:/core/templates/module-tiddler": {
"title": "$:/core/templates/module-tiddler",
"text": "<!--\n\nThis template is used for saving JavaScript tiddlers as a script tag with data attributes representing the tiddler fields. The body of the tiddler is wrapped in a call to the `$tw.modules.define` function in order to define the body of the tiddler as a module\n\n-->`<script`<$fields template=' data-tiddler-$name$=\"$encoded_value$\"'></$fields>` type=\"text/javascript\" data-module=\"yes\">$tw.modules.define(\"`<$view field=\"title\" format=\"jsencoded\" />`\",\"`<$view field=\"module-type\" format=\"jsencoded\" />`\",function(module,exports,require) {`<$view field=\"text\" format=\"text\" />`});\n</script>`"
},
"$:/core/templates/plain-text-tiddler": {
"title": "$:/core/templates/plain-text-tiddler",
"text": "<$view field=\"text\" format=\"text\" />"
},
"$:/core/save/all": {
"title": "$:/core/save/all",
"text": "\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] $(publishFilter)$\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/empty": {
"title": "$:/core/save/empty",
"text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]]\n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/lazy-all": {
"title": "$:/core/save/lazy-all",
"text": "\\define saveTiddlerFilter()\n[is[system]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] +[sort[title]] \n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/save/lazy-images": {
"title": "$:/core/save/lazy-images",
"text": "\\define saveTiddlerFilter()\n[is[tiddler]] -[prefix[$:/state/popup/]] -[[$:/HistoryList]] -[[$:/boot/boot.css]] -[type[application/javascript]library[yes]] -[[$:/boot/boot.js]] -[[$:/boot/bootprefix.js]] -[!is[system]is[image]] +[sort[title]] \n\\end\n{{$:/core/templates/tiddlywiki5.html}}\n"
},
"$:/core/templates/single.tiddler.window": {
"title": "$:/core/templates/single.tiddler.window",
"text": "<$set name=\"themeTitle\" value={{$:/view}}>\n\n<$set name=\"tempCurrentTiddler\" value=<<currentTiddler>>>\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$set name=\"currentTiddler\" value=<<tempCurrentTiddler>>>\n\n<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\">\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\">\n\n<$transclude mode=\"block\"/>\n\n</$navigator>\n\n</$importvariables>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n"
},
"$:/core/templates/split-recipe": {
"title": "$:/core/templates/split-recipe",
"text": "<$list filter=\"[!is[system]]\">\ntiddler: <$view field=\"title\" format=\"urlencoded\"/>.tid\n</$list>\n"
},
"$:/core/templates/static-tiddler": {
"title": "$:/core/templates/static-tiddler",
"text": "<a name=<<currentTiddler>>>\n<$transclude tiddler=\"$:/core/ui/ViewTemplate\"/>\n</a>"
},
"$:/core/templates/static.area": {
"title": "$:/core/templates/static.area",
"text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n{{$:/core/templates/static.content||$:/core/templates/html-tiddler}}\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\nThis file contains an encrypted ~TiddlyWiki. Enable ~JavaScript and enter the decryption password when prompted.\n</$reveal>\n"
},
"$:/core/templates/static.content": {
"title": "$:/core/templates/static.content",
"type": "text/vnd.tiddlywiki",
"text": "<!-- For Google, and people without JavaScript-->\nThis [[TiddlyWiki|http://tiddlywiki.com]] contains the following tiddlers:\n\n<ul>\n<$list filter=<<saveTiddlerFilter>>>\n<li><$view field=\"title\" format=\"text\"></$view></li>\n</$list>\n</ul>\n"
},
"$:/core/templates/static.template.css": {
"title": "$:/core/templates/static.template.css",
"text": "{{$:/boot/boot.css||$:/core/templates/plain-text-tiddler}}\n\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n"
},
"$:/core/templates/static.template.html": {
"title": "$:/core/templates/static.template.html",
"type": "text/vnd.tiddlywiki-html",
"text": "\\define tv-wikilink-template() static/$uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<style type=\"text/css\">\n{{$:/core/ui/PageStylesheet||$:/core/templates/wikified-tiddler}}\n</style>\n</head>\n<body class=\"tc-body\">\n{{$:/StaticBanner||$:/core/templates/html-tiddler}}\n{{$:/core/ui/PageTemplate||$:/core/templates/html-tiddler}}\n</body>\n</html>\n"
},
"$:/core/templates/static.tiddler.html": {
"title": "$:/core/templates/static.tiddler.html",
"text": "\\define tv-wikilink-template() $uri_doubleencoded$.html\n\\define tv-config-toolbar-icons() no\n\\define tv-config-toolbar-text() no\n\\define tv-config-toolbar-class() tc-btn-invisible\n`<!doctype html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"`{{$:/core/templates/version}}`\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"format-detection\" content=\"telephone=no\">\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<link rel=\"stylesheet\" href=\"static.css\">\n<title>`<$view field=\"caption\"><$view field=\"title\"/></$view>: {{$:/core/wiki/title}}`</title>\n</head>\n<body class=\"tc-body\">\n`{{$:/StaticBanner||$:/core/templates/html-tiddler}}`\n<section class=\"tc-story-river\">\n`<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\">\n<$view tiddler=\"$:/core/ui/ViewTemplate\" format=\"htmlwikified\"/>\n</$importvariables>`\n</section>\n</body>\n</html>\n`"
},
"$:/core/templates/store.area.template.html": {
"title": "$:/core/templates/store.area.template.html",
"text": "<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n`<div id=\"storeArea\" style=\"display:none;\">`\n<$list filter=<<saveTiddlerFilter>> template=\"$:/core/templates/html-div-tiddler\"/>\n`</div>`\n</$reveal>\n<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n`<!--~~ Encrypted tiddlers ~~-->`\n`<pre id=\"encryptedStoreArea\" type=\"text/plain\" style=\"display:none;\">`\n<$encrypt filter=<<saveTiddlerFilter>>/>\n`</pre>`\n</$reveal>"
},
"$:/core/templates/tid-tiddler": {
"title": "$:/core/templates/tid-tiddler",
"text": "<!--\n\nThis template is used for saving tiddlers in TiddlyWeb *.tid format\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>`\n`<$view field=\"text\" format=\"text\" />"
},
"$:/core/templates/tiddler-metadata": {
"title": "$:/core/templates/tiddler-metadata",
"text": "<!--\n\nThis template is used for saving tiddler metadata *.meta files\n\n--><$fields exclude='text bag' template='$name$: $value$\n'></$fields>"
},
"$:/core/templates/tiddlywiki5.html": {
"title": "$:/core/templates/tiddlywiki5.html",
"text": "\\rules only filteredtranscludeinline transcludeinline\n<!doctype html>\n{{$:/core/templates/MOTW.html}}<html>\n<head>\n<meta http-equiv=\"X-UA-Compatible\" content=\"IE=edge\" />\t\t<!-- Force IE standards mode for Intranet and HTA - should be the first meta -->\n<meta http-equiv=\"Content-Type\" content=\"text/html;charset=utf-8\" />\n<meta name=\"application-name\" content=\"TiddlyWiki\" />\n<meta name=\"generator\" content=\"TiddlyWiki\" />\n<meta name=\"tiddlywiki-version\" content=\"{{$:/core/templates/version}}\" />\n<meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n<meta name=\"apple-mobile-web-app-capable\" content=\"yes\" />\n<meta name=\"apple-mobile-web-app-status-bar-style\" content=\"black-translucent\" />\n<meta name=\"format-detection\" content=\"telephone=no\" />\n<meta name=\"copyright\" content=\"{{$:/core/copyright.txt}}\" />\n<link id=\"faviconLink\" rel=\"shortcut icon\" href=\"favicon.ico\">\n<title>{{$:/core/wiki/title}}</title>\n<!--~~ This is a Tiddlywiki file. The points of interest in the file are marked with this pattern ~~-->\n\n<!--~~ Raw markup ~~-->\n{{{ [all[shadows+tiddlers]tag[$:/core/wiki/rawmarkup]] [all[shadows+tiddlers]tag[$:/tags/RawMarkup]] ||$:/core/templates/plain-text-tiddler}}}\n</head>\n<body class=\"tc-body\">\n<!--~~ Static styles ~~-->\n<div id=\"styleArea\">\n{{$:/boot/boot.css||$:/core/templates/css-tiddler}}\n</div>\n<!--~~ Static content for Google and browsers without JavaScript ~~-->\n<noscript>\n<div id=\"splashArea\">\n{{$:/core/templates/static.area}}\n</div>\n</noscript>\n<!--~~ Ordinary tiddlers ~~-->\n{{$:/core/templates/store.area.template.html}}\n<!--~~ Library modules ~~-->\n<div id=\"libraryModules\" style=\"display:none;\">\n{{{ [is[system]type[application/javascript]library[yes]] ||$:/core/templates/javascript-tiddler}}}\n</div>\n<!--~~ Boot kernel prologue ~~-->\n<div id=\"bootKernelPrefix\" style=\"display:none;\">\n{{ $:/boot/bootprefix.js ||$:/core/templates/javascript-tiddler}}\n</div>\n<!--~~ Boot kernel ~~-->\n<div id=\"bootKernel\" style=\"display:none;\">\n{{ $:/boot/boot.js ||$:/core/templates/javascript-tiddler}}\n</div>\n</body>\n</html>\n"
},
"$:/core/templates/version": {
"title": "$:/core/templates/version",
"text": "<<version>>"
},
"$:/core/templates/wikified-tiddler": {
"title": "$:/core/templates/wikified-tiddler",
"text": "<$transclude />"
},
"$:/core/ui/AboveStory/tw2-plugin-check": {
"title": "$:/core/ui/AboveStory/tw2-plugin-check",
"tags": "$:/tags/AboveStory",
"text": "\\define lingo-base() $:/language/AboveStory/ClassicPlugin/\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]limit[1]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n<ul>\n\n<$list filter=\"[all[system+tiddlers]tag[systemConfig]limit[1]]\">\n\n<li>\n\n<$link><$view field=\"title\"/></$link>\n\n</li>\n\n</$list>\n\n</ul>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/AdvancedSearch/Filter": {
"title": "$:/core/ui/AdvancedSearch/Filter",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Filter/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Filter/Hint>>\n\n<div class=\"tc-search tc-advanced-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\"/>\n<$button popup=<<qualify \"$:/state/filterDropdown\">> class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n<$macrocall $name=\"exportButton\" exportFilter={{$:/temp/advancedsearch}} lingoBase=\"$:/language/Buttons/ExportTiddlers/\"/>\n</$reveal>\n</div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/filterDropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Filter]]\"><$link to={{!!filter}}><$transclude field=\"description\"/></$link>\n</$list>\n</div>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter={{$:/temp/advancedsearch}}/>\"\"\">\n<div class=\"tc-search-results\">\n<<lingo Filter/Matches>>\n<$list filter={{$:/temp/advancedsearch}} template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$set>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Shadows": {
"title": "$:/core/ui/AdvancedSearch/Shadows",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Shadows/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Shadows/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[all[shadows]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo Shadows/Matches>>\n\n<$list filter=\"[all[shadows]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n</div>\n\n</$set>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/Standard": {
"title": "$:/core/ui/AdvancedSearch/Standard",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/Standard/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo Standard/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$set name=\"searchTiddler\" value=\"$:/temp/advancedsearch\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude/>\n</$list>\n\"\"\">\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n</$list>\n</$set>\n</$reveal>\n"
},
"$:/core/ui/AdvancedSearch/System": {
"title": "$:/core/ui/AdvancedSearch/System",
"tags": "$:/tags/AdvancedSearch",
"caption": "{{$:/language/Search/System/Caption}}",
"text": "\\define lingo-base() $:/language/Search/\n<$linkcatcher to=\"$:/temp/advancedsearch\">\n\n<<lingo System/Hint>>\n\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/advancedsearch\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n</div>\n\n</$linkcatcher>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"nomatch\" text=\"\">\n\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[is[system]search{$:/temp/advancedsearch}] -[[$:/temp/advancedsearch]]\"/>\"\"\">\n\n<div class=\"tc-search-results\">\n\n<<lingo System/Matches>>\n\n<$list filter=\"[is[system]search{$:/temp/advancedsearch}sort[title]limit[250]] -[[$:/temp/advancedsearch]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n</div>\n\n</$set>\n\n</$reveal>\n\n<$reveal state=\"$:/temp/advancedsearch\" type=\"match\" text=\"\">\n\n</$reveal>\n"
},
"$:/AdvancedSearch": {
"title": "$:/AdvancedSearch",
"icon": "$:/core/images/advanced-search-button",
"color": "#bbb",
"text": "<div class=\"tc-advanced-search\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/AdvancedSearch]!has[draft.of]]\" \"$:/core/ui/AdvancedSearch/System\">>\n</div>\n"
},
"$:/core/ui/AlertTemplate": {
"title": "$:/core/ui/AlertTemplate",
"text": "<div class=\"tc-alert\">\n<div class=\"tc-alert-toolbar\">\n<$button class=\"tc-btn-invisible\"><$action-deletetiddler $tiddler=<<currentTiddler>>/>{{$:/core/images/delete-button}}</$button>\n</div>\n<div class=\"tc-alert-subtitle\">\n<$view field=\"component\"/> - <$view field=\"modified\" format=\"date\" template=\"0hh:0mm:0ss DD MM YYYY\"/> <$reveal type=\"nomatch\" state=\"!!count\" text=\"\"><span class=\"tc-alert-highlight\">(count: <$view field=\"count\"/>)</span></$reveal>\n</div>\n<div class=\"tc-alert-body\">\n\n<$transclude/>\n\n</div>\n</div>\n"
},
"$:/core/ui/BinaryWarning": {
"title": "$:/core/ui/BinaryWarning",
"text": "\\define lingo-base() $:/language/BinaryWarning/\n<div class=\"tc-binary-warning\">\n\n<<lingo Prompt>>\n\n</div>\n"
},
"$:/core/ui/Components/tag-link": {
"title": "$:/core/ui/Components/tag-link",
"text": "<$link>\n<$set name=\"backgroundColor\" value={{!!color}}>\n<span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\"/>\n</span>\n</$set>\n</$link>"
},
"$:/core/ui/ControlPanel/Advanced": {
"title": "$:/core/ui/ControlPanel/Advanced",
"tags": "$:/tags/ControlPanel/Info",
"caption": "{{$:/language/ControlPanel/Advanced/Caption}}",
"text": "{{$:/language/ControlPanel/Advanced/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Advanced]!has[draft.of]]\" \"$:/core/ui/ControlPanel/TiddlerFields\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/Appearance": {
"title": "$:/core/ui/ControlPanel/Appearance",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Appearance/Caption}}",
"text": "{{$:/language/ControlPanel/Appearance/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Appearance]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Theme\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/Basics": {
"title": "$:/core/ui/ControlPanel/Basics",
"tags": "$:/tags/ControlPanel/Info",
"caption": "{{$:/language/ControlPanel/Basics/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Basics/\n\n\\define show-filter-count(filter)\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" $value=\"\"\"$filter$\"\"\"/>\n<$action-setfield $tiddler=\"$:/state/tab--1498284803\" $value=\"$:/core/ui/AdvancedSearch/Filter\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n''<$count filter=\"\"\"$filter$\"\"\"/>''\n{{$:/core/images/advanced-search-button}}\n</$button>\n\\end\n\n|<<lingo Version/Prompt>> |''<<version>>'' |\n|<$link to=\"$:/SiteTitle\"><<lingo Title/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteTitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/SiteSubtitle\"><<lingo Subtitle/Prompt>></$link> |<$edit-text tiddler=\"$:/SiteSubtitle\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/status/UserName\"><<lingo Username/Prompt>></$link> |<$edit-text tiddler=\"$:/status/UserName\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/AnimationDuration\"><<lingo AnimDuration/Prompt>></$link> |<$edit-text tiddler=\"$:/config/AnimationDuration\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/DefaultTiddlers\"><<lingo DefaultTiddlers/Prompt>></$link> |<<lingo DefaultTiddlers/TopHint>><br> <$edit-text tag=\"textarea\" tiddler=\"$:/DefaultTiddlers\"/><br>//<<lingo DefaultTiddlers/BottomHint>>// |\n|<$link to=\"$:/config/NewJournal/Title\"><<lingo NewJournal/Title/Prompt>></$link> |<$edit-text tiddler=\"$:/config/NewJournal/Title\" default=\"\" tag=\"input\"/> |\n|<$link to=\"$:/config/NewJournal/Tags\"><<lingo NewJournal/Tags/Prompt>></$link> |<$edit-text tiddler=\"$:/config/NewJournal/Tags\" default=\"\" tag=\"input\"/> |\n|<<lingo Language/Prompt>> |{{$:/snippets/minilanguageswitcher}} |\n|<<lingo Tiddlers/Prompt>> |<<show-filter-count \"[!is[system]sort[title]]\">> |\n|<<lingo Tags/Prompt>> |<<show-filter-count \"[tags[]sort[title]]\">> |\n|<<lingo SystemTiddlers/Prompt>> |<<show-filter-count \"[is[system]sort[title]]\">> |\n|<<lingo ShadowTiddlers/Prompt>> |<<show-filter-count \"[all[shadows]sort[title]]\">> |\n|<<lingo OverriddenShadowTiddlers/Prompt>> |<<show-filter-count \"[is[tiddler]is[shadow]sort[title]]\">> |\n"
},
"$:/core/ui/ControlPanel/EditorTypes": {
"title": "$:/core/ui/ControlPanel/EditorTypes",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/EditorTypes/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/EditorTypes/\n\n<<lingo Hint>>\n\n<table>\n<tbody>\n<tr>\n<th><<lingo Type/Caption>></th>\n<th><<lingo Editor/Caption>></th>\n</tr>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/config/EditorTypeMappings/]sort[title]]\">\n<tr>\n<td>\n<$link>\n<$list filter=\"[all[current]removeprefix[$:/config/EditorTypeMappings/]]\">\n<$text text={{!!title}}/>\n</$list>\n</$link>\n</td>\n<td>\n<$view field=\"text\"/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ControlPanel/Info": {
"title": "$:/core/ui/ControlPanel/Info",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Info/Caption}}",
"text": "{{$:/language/ControlPanel/Info/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Info]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Basics\">>\n</div>\n"
},
"$:/core/ui/ControlPanel/LoadedModules": {
"title": "$:/core/ui/ControlPanel/LoadedModules",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/LoadedModules/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n<<lingo LoadedModules/Hint>>\n\n{{$:/snippets/modules}}\n"
},
"$:/core/ui/ControlPanel/Modals/AddPlugins": {
"title": "$:/core/ui/ControlPanel/Modals/AddPlugins",
"subtitle": "{{$:/core/images/download-button}} {{$:/language/ControlPanel/Plugins/Add/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define install-plugin-button()\n<$button>\n<$action-sendmessage $message=\"tm-load-plugin-from-library\" url={{!!url}} title={{$(assetInfo)$!!original-title}}/>\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"installedVersion\" emptyMessage=\"\"\"{{$:/language/ControlPanel/Plugins/Install}}\"\"\">\n{{$:/language/ControlPanel/Plugins/Reinstall}}\n</$list>\n</$button>\n\\end\n\n\\define popup-state-macro()\n$:/state/add-plugin-info/$(connectionTiddler)$/$(assetInfo)$\n\\end\n\n\\define display-plugin-info(type)\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<div class=\"tc-plugin-info\">\n<div class=\"tc-plugin-info-chunk tc-small-icon\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk\">\n<$list filter=\"[<assetInfo>has[icon]]\" emptyMessage=\"\"\"<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\"\"\">\n<img src={{$(assetInfo)$!!icon}}/>\n</$list>\n</div>\n<div class=\"tc-plugin-info-chunk\">\n<h1><$view tiddler=<<assetInfo>> field=\"description\"/></h1>\n<h2><$view tiddler=<<assetInfo>> field=\"original-title\"/></h2>\n<div><em><$view tiddler=<<assetInfo>> field=\"version\"/></em></div>\n</div>\n<div class=\"tc-plugin-info-chunk\">\n<<install-plugin-button>>\n</div>\n</div>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>>>\n<div class=\"tc-plugin-info-dropdown\">\n<div class=\"tc-plugin-info-dropdown-message\">\n<$list filter=\"[<assetInfo>get[original-title]get[version]]\" variable=\"installedVersion\" emptyMessage=\"\"\"This plugin is not currently installed\"\"\">\n<em>\nThis plugin is already installed at version <$text text=<<installedVersion>>/>\n</em>\n</$list>\n</div>\n<div class=\"tc-plugin-info-dropdown-body\">\n<$transclude tiddler=<<assetInfo>> field=\"readme\" mode=\"block\"/>\n</div>\n</div>\n</$reveal>\n</$set>\n\\end\n\n\\define load-plugin-library-button()\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-load-plugin-library\" url={{!!url}} infoTitlePrefix=\"$:/temp/RemoteAssetInfo/\"/>\n{{$:/core/images/chevron-right}} {{$:/language/ControlPanel/Plugins/OpenPluginLibrary}}\n</$button>\n\\end\n\n\\define display-server-assets(type)\n{{$:/language/Search/Search}}: <$edit-text tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" default=\"\" type=\"search\" tag=\"input\"/>\n<$reveal state=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" type=\"nomatch\" text=\"\">\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"\"\"$:/temp/RemoteAssetSearch/$(currentTiddler)$\"\"\" $field=\"text\" $value=\"\"/>\n{{$:/core/images/close-button}}\n</$button>\n</$reveal>\n<div class=\"tc-plugin-library-listing\">\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[$type$]search{$:/temp/RemoteAssetSearch/$(currentTiddler)$}sort[description]]\" variable=\"assetInfo\">\n<<display-plugin-info \"$type$\">>\n</$list>\n</div>\n\\end\n\n\\define display-server-connection()\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/ServerConnection]suffix{!!url}]\" variable=\"connectionTiddler\" emptyMessage=<<load-plugin-library-button>>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Add/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Add/Themes]] [[$:/core/ui/ControlPanel/Plugins/Add/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Add/Plugins\">>\n\n</$list>\n\\end\n\n\\define plugin-library-listing()\n<$list filter=\"[all[tiddlers+shadows]tag[$:/tags/PluginLibrary]]\">\n<div class=\"tc-plugin-library\">\n\n!! <$link><$transclude field=\"caption\"><$view field=\"title\"/></$transclude></$link>\n\n//<$view field=\"url\"/>//\n\n<$transclude/>\n\n<<display-server-connection>>\n</div>\n</$list>\n\\end\n\n<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\">\n\n<div>\n<<plugin-library-listing>>\n</div>\n\n</$importvariables>\n"
},
"$:/core/ui/ControlPanel/Palette": {
"title": "$:/core/ui/ControlPanel/Palette",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Palette/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/\n\n{{$:/snippets/paletteswitcher}}\n\n<$reveal type=\"nomatch\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"yes\"><<lingo ShowEditor/Caption>></$button>\n\n</$reveal>\n\n<$reveal type=\"match\" state=\"$:/state/ShowPaletteEditor\" text=\"yes\">\n\n<$button set=\"$:/state/ShowPaletteEditor\" setTo=\"no\"><<lingo HideEditor/Caption>></$button>\n{{$:/snippets/paletteeditor}}\n\n</$reveal>\n\n"
},
"$:/core/ui/ControlPanel/Parsing": {
"title": "$:/core/ui/ControlPanel/Parsing",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/Parsing/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Parsing/\n\n\\define parsing-inner(typeCap)\n<li>\n<$checkbox tiddler=\"\"\"$:/config/WikiParserRules/$typeCap$/$(currentTiddler)$\"\"\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"> ''<$text text=<<currentTiddler>>/>'': </$checkbox>\n</li>\n\\end\n\n\\define parsing-outer(typeLower,typeCap)\n<ul>\n<$list filter=\"[wikiparserrules[$typeLower$]]\">\n<<parsing-inner typeCap:\"$typeCap$\">>\n</$list>\n</ul>\n\\end\n\n<<lingo Hint>>\n\n! <<lingo Pragma/Caption>>\n\n<<parsing-outer typeLower:\"pragma\" typeCap:\"Pragma\">>\n\n! <<lingo Inline/Caption>>\n\n<<parsing-outer typeLower:\"inline\" typeCap:\"Inline\">>\n\n! <<lingo Block/Caption>>\n\n<<parsing-outer typeLower:\"block\" typeCap:\"Block\">>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Languages": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Languages",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[language]]\"/>)",
"text": "<<display-server-assets language>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[plugin]]\"/>)",
"text": "<<display-server-assets plugin>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Add/Themes": {
"title": "$:/core/ui/ControlPanel/Plugins/Add/Themes",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[all[tiddlers+shadows]tag[$:/tags/RemoteAssetInfo]server-url{!!url}original-plugin-type[theme]]\"/>)",
"text": "<<display-server-assets theme>>\n"
},
"$:/core/ui/ControlPanel/Plugins/AddPlugins": {
"title": "$:/core/ui/ControlPanel/Plugins/AddPlugins",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n<$button message=\"tm-modal\" param=\"$:/core/ui/ControlPanel/Modals/AddPlugins\" tooltip={{$:/language/ControlPanel/Plugins/Add/Hint}} class=\"tc-btn-big-green\" style=\"background:blue;\">\n{{$:/core/images/download-button}} <<lingo Add/Caption>>\n</$button>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Languages": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Languages",
"caption": "{{$:/language/ControlPanel/Plugins/Languages/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[language]]\"/>)",
"text": "<<plugin-table language>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Plugins",
"caption": "{{$:/language/ControlPanel/Plugins/Plugins/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[plugin]]\"/>)",
"text": "<<plugin-table plugin>>\n"
},
"$:/core/ui/ControlPanel/Plugins/Installed/Themes": {
"title": "$:/core/ui/ControlPanel/Plugins/Installed/Themes",
"caption": "{{$:/language/ControlPanel/Plugins/Themes/Caption}} (<$count filter=\"[!has[draft.of]plugin-type[theme]]\"/>)",
"text": "<<plugin-table theme>>\n"
},
"$:/core/ui/ControlPanel/Plugins": {
"title": "$:/core/ui/ControlPanel/Plugins",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Plugins/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Plugins/\n\n\\define popup-state-macro()\n$(qualified-state)$-$(currentTiddler)$\n\\end\n\n\\define tabs-state-macro()\n$(popup-state)$-$(pluginInfoType)$\n\\end\n\n\\define plugin-icon-title()\n$(currentTiddler)$/icon\n\\end\n\n\\define plugin-disable-title()\n$:/config/Plugins/Disabled/$(currentTiddler)$\n\\end\n\n\\define plugin-table-body(type,disabledMessage)\n<div class=\"tc-plugin-info-chunk tc-small-icon\">\n<$reveal type=\"nomatch\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"yes\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<popup-state>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<popup-state>> setTo=\"no\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n</div>\n<div class=\"tc-plugin-info-chunk\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<plugin-icon-title>>>\n<$transclude tiddler=\"$:/core/images/plugin-generic-$type$\"/>\n</$transclude>\n</div>\n<div class=\"tc-plugin-info-chunk\">\n<h1>\n''<$view field=\"description\"><$view field=\"title\"/></$view>'' $disabledMessage$\n</h1>\n<h2>\n<$view field=\"title\"/>\n</h2>\n<h2>\n<div><em><$view field=\"version\"/></em></div>\n</h2>\n</div>\n\\end\n\n\\define plugin-table(type)\n<$set name=\"qualified-state\" value=<<qualify \"$:/state/plugin-info\">>>\n<$list filter=\"[!has[draft.of]plugin-type[$type$]sort[description]]\" emptyMessage=<<lingo \"Empty/Hint\">>>\n<$set name=\"popup-state\" value=<<popup-state-macro>>>\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info\">\n<<plugin-table-body type:\"$type$\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$link to={{!!title}} class=\"tc-plugin-info tc-plugin-info-disabled\">\n<<plugin-table-body type:\"$type$\" disabledMessage:\"<$macrocall $name='lingo' title='Disabled/Status'/>\">>\n</$link>\n</$reveal>\n<$reveal type=\"match\" text=\"yes\" state=<<popup-state>>>\n<div class=\"tc-plugin-info-dropdown\">\n<div class=\"tc-plugin-info-dropdown-body\">\n<$list filter=\"[all[current]] -[[$:/core]]\">\n<div style=\"float:right;\">\n<$reveal type=\"nomatch\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"yes\" tooltip={{$:/language/ControlPanel/Plugins/Disable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Disable/Caption}}>\n<<lingo Disable/Caption>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<plugin-disable-title>> text=\"yes\">\n<$button set=<<plugin-disable-title>> setTo=\"no\" tooltip={{$:/language/ControlPanel/Plugins/Enable/Hint}} aria-label={{$:/language/ControlPanel/Plugins/Enable/Caption}}>\n<<lingo Enable/Caption>>\n</$button>\n</$reveal>\n</div>\n</$list>\n<$reveal type=\"nomatch\" text=\"\" state=\"!!list\">\n<$macrocall $name=\"tabs\" state=<<tabs-state-macro>> tabsList={{!!list}} default=\"readme\" template=\"$:/core/ui/PluginInfo\"/>\n</$reveal>\n<$reveal type=\"match\" text=\"\" state=\"!!list\">\nNo information provided\n</$reveal>\n</div>\n</div>\n</$reveal>\n</$set>\n</$list>\n</$set>\n\\end\n\n{{$:/core/ui/ControlPanel/Plugins/AddPlugins}}\n\n<<lingo Installed/Hint>>\n\n<<tabs \"[[$:/core/ui/ControlPanel/Plugins/Installed/Plugins]] [[$:/core/ui/ControlPanel/Plugins/Installed/Themes]] [[$:/core/ui/ControlPanel/Plugins/Installed/Languages]]\" \"$:/core/ui/ControlPanel/Plugins/Installed/Plugins\">>\n"
},
"$:/core/ui/ControlPanel/Saving": {
"title": "$:/core/ui/ControlPanel/Saving",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Saving/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Saving/\n\\define backupURL()\nhttp://$(userName)$.tiddlyspot.com/backup/\n\\end\n\\define backupLink()\n<$reveal type=\"nomatch\" state=\"$:/UploadName\" text=\"\">\n<$set name=\"userName\" value={{$:/UploadName}}>\n<$reveal type=\"match\" state=\"$:/UploadURL\" text=\"\">\n<<backupURL>>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/UploadURL\" text=\"\">\n<$macrocall $name=resolvePath source={{$:/UploadBackupDir}} root={{$:/UploadURL}}>>\n</$reveal>\n</$set>\n</$reveal>\n\\end\n! <<lingo TiddlySpot/Heading>>\n\n<<lingo TiddlySpot/Description>>\n\n|<<lingo TiddlySpot/UserName>> |<$edit-text tiddler=\"$:/UploadName\" default=\"\" tag=\"input\"/> |\n|<<lingo TiddlySpot/Password>> |<$password name=\"upload\"/> |\n|<<lingo TiddlySpot/Backups>> |<<backupLink>> |\n\n''<<lingo TiddlySpot/Advanced/Heading>>''\n\n|<<lingo TiddlySpot/ServerURL>> |<$edit-text tiddler=\"$:/UploadURL\" default=\"\" tag=\"input\"/> |\n|<<lingo TiddlySpot/Filename>> |<$edit-text tiddler=\"$:/UploadFilename\" default=\"index.html\" tag=\"input\"/> |\n|<<lingo TiddlySpot/UploadDir>> |<$edit-text tiddler=\"$:/UploadDir\" default=\".\" tag=\"input\"/> |\n|<<lingo TiddlySpot/BackupDir>> |<$edit-text tiddler=\"$:/UploadBackupDir\" default=\".\" tag=\"input\"/> |\n\n<<lingo TiddlySpot/Hint>>"
},
"$:/core/ui/ControlPanel/Settings/AutoSave": {
"title": "$:/core/ui/ControlPanel/Settings/AutoSave",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/AutoSave/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/AutoSave/\n\n<$link to=\"$:/config/AutoSave\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"yes\"> <<lingo Enabled/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/AutoSave\" value=\"no\"> <<lingo Disabled/Description>> </$radio>\n"
},
"$:/core/buttonstyles/Borderless": {
"title": "$:/core/buttonstyles/Borderless",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Borderless}}",
"text": "tc-btn-invisible"
},
"$:/core/buttonstyles/Boxed": {
"title": "$:/core/buttonstyles/Boxed",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Boxed}}",
"text": "tc-btn-boxed"
},
"$:/core/buttonstyles/Rounded": {
"title": "$:/core/buttonstyles/Rounded",
"tags": "$:/tags/ToolbarButtonStyle",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Styles/Rounded}}",
"text": "tc-btn-rounded"
},
"$:/core/ui/ControlPanel/Settings/CamelCase": {
"title": "$:/core/ui/ControlPanel/Settings/CamelCase",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/CamelCase/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/CamelCase/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/WikiParserRules/Inline/wikilink\" field=\"text\" checked=\"enable\" unchecked=\"disable\" default=\"enable\"> <$link to=\"$:/config/WikiParserRules/Inline/wikilink\"><<lingo Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/DefaultSidebarTab": {
"caption": "{{$:/language/ControlPanel/Settings/DefaultSidebarTab/Caption}}",
"tags": "$:/tags/ControlPanel/Settings",
"title": "$:/core/ui/ControlPanel/Settings/DefaultSidebarTab",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/DefaultSidebarTab/\n\n<$link to=\"$:/config/DefaultSidebarTab\"><<lingo Hint>></$link>\n\n<$select tiddler=\"$:/config/DefaultSidebarTab\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\">\n<option value=<<currentTiddler>>><$transclude field=\"caption\"><$text text=<<currentTiddler>>/></$transclude></option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/LinkToBehaviour": {
"title": "$:/core/ui/ControlPanel/Settings/LinkToBehaviour",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/LinkToBehaviour/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/LinkToBehaviour/\n\n<$link to=\"$:/config/Navigation/openLinkFromInsideRiver\"><<lingo \"InsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromInsideRiver\">\n <option value=\"above\"><<lingo \"OpenAbove\">></option>\n <option value=\"below\"><<lingo \"OpenBelow\">></option>\n <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n\n<$link to=\"$:/config/Navigation/openLinkFromOutsideRiver\"><<lingo \"OutsideRiver/Hint\">></$link>\n\n<$select tiddler=\"$:/config/Navigation/openLinkFromOutsideRiver\">\n <option value=\"top\"><<lingo \"OpenAtTop\">></option>\n <option value=\"bottom\"><<lingo \"OpenAtBottom\">></option>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationAddressBar": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationAddressBar",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationAddressBar/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationAddressBar/\n\n<$link to=\"$:/config/Navigation/UpdateAddressBar\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permaview\"> <<lingo Permaview/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"permalink\"> <<lingo Permalink/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateAddressBar\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/NavigationHistory": {
"title": "$:/core/ui/ControlPanel/Settings/NavigationHistory",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/NavigationHistory/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/NavigationHistory/\n<$link to=\"$:/config/Navigation/UpdateHistory\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Navigation/UpdateHistory\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation": {
"title": "$:/core/ui/ControlPanel/Settings/PerformanceInstrumentation",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/PerformanceInstrumentation/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/PerformanceInstrumentation/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Performance/Instrumentation\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Performance/Instrumentation\"><<lingo Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings/TitleLinks": {
"title": "$:/core/ui/ControlPanel/Settings/TitleLinks",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/TitleLinks/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/TitleLinks/\n<$link to=\"$:/config/Tiddlers/TitleLinks\"><<lingo Hint>></$link>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"yes\"> <<lingo Yes/Description>> </$radio>\n\n<$radio tiddler=\"$:/config/Tiddlers/TitleLinks\" value=\"no\"> <<lingo No/Description>> </$radio>\n"
},
"$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle": {
"title": "$:/core/ui/ControlPanel/Settings/ToolbarButtonStyle",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtonStyle/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtonStyle/\n<$link to=\"$:/config/Toolbar/ButtonClass\"><<lingo \"Hint\">></$link>\n\n<$select tiddler=\"$:/config/Toolbar/ButtonClass\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ToolbarButtonStyle]]\">\n<option value={{!!text}}>{{!!caption}}</option>\n</$list>\n</$select>\n"
},
"$:/core/ui/ControlPanel/Settings/ToolbarButtons": {
"title": "$:/core/ui/ControlPanel/Settings/ToolbarButtons",
"tags": "$:/tags/ControlPanel/Settings",
"caption": "{{$:/language/ControlPanel/Settings/ToolbarButtons/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/ToolbarButtons/\n<<lingo Hint>>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Icons\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"yes\"> <$link to=\"$:/config/Toolbar/Icons\"><<lingo Icons/Description>></$link> </$checkbox>\n\n<$checkbox tiddler=\"$:/config/Toolbar/Text\" field=\"text\" checked=\"yes\" unchecked=\"no\" default=\"no\"> <$link to=\"$:/config/Toolbar/Text\"><<lingo Text/Description>></$link> </$checkbox>\n"
},
"$:/core/ui/ControlPanel/Settings": {
"title": "$:/core/ui/ControlPanel/Settings",
"tags": "$:/tags/ControlPanel",
"caption": "{{$:/language/ControlPanel/Settings/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/Settings/\n\n<<lingo Hint>>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Settings]]\">\n\n<div style=\"border-top:1px solid #eee;\">\n\n!! <$link><$transclude field=\"caption\"/></$link>\n\n<$transclude/>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/ControlPanel/StoryView": {
"title": "$:/core/ui/ControlPanel/StoryView",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/StoryView/Caption}}",
"text": "{{$:/snippets/viewswitcher}}\n"
},
"$:/core/ui/ControlPanel/Theme": {
"title": "$:/core/ui/ControlPanel/Theme",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Theme/Caption}}",
"text": "{{$:/snippets/themeswitcher}}\n"
},
"$:/core/ui/ControlPanel/TiddlerFields": {
"title": "$:/core/ui/ControlPanel/TiddlerFields",
"tags": "$:/tags/ControlPanel/Advanced",
"caption": "{{$:/language/ControlPanel/TiddlerFields/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\n<<lingo TiddlerFields/Hint>>\n\n{{$:/snippets/allfields}}"
},
"$:/core/ui/ControlPanel/Toolbars/EditToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/EditToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/EditToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\\define config-title()\n$:/config/EditToolbarButtons/Visibility/$(listItem)$\n\\end\n\n{{$:/language/ControlPanel/Toolbars/EditToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditToolbar]!has[draft.of]]\" variable=\"listItem\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>> field=\"caption\"/> <i class=\"tc-muted\">-- <$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</$list>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars/PageControls": {
"title": "$:/core/ui/ControlPanel/Toolbars/PageControls",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/PageControls/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n\n{{$:/language/ControlPanel/Toolbars/PageControls/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>> field=\"caption\"/> <i class=\"tc-muted\">-- <$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</$list>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars/ViewToolbar": {
"title": "$:/core/ui/ControlPanel/Toolbars/ViewToolbar",
"tags": "$:/tags/ControlPanel/Toolbars",
"caption": "{{$:/language/ControlPanel/Toolbars/ViewToolbar/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n\n{{$:/language/ControlPanel/Toolbars/ViewToolbar/Hint}}\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>> field=\"caption\"/> <i class=\"tc-muted\">-- <$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</$list>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/ControlPanel/Toolbars": {
"title": "$:/core/ui/ControlPanel/Toolbars",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "{{$:/language/ControlPanel/Toolbars/Caption}}",
"text": "{{$:/language/ControlPanel/Toolbars/Hint}}\n\n<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel/Toolbars]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Toolbars/ViewToolbar\" \"$:/state/tabs/controlpanel/toolbars\" \"tc-vertical\">>\n</div>\n"
},
"$:/ControlPanel": {
"title": "$:/ControlPanel",
"icon": "$:/core/images/options-button",
"color": "#bbb",
"text": "<div class=\"tc-control-panel\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/ControlPanel]!has[draft.of]]\" \"$:/core/ui/ControlPanel/Info\">>\n</div>\n"
},
"$:/core/ui/DefaultSearchResultList": {
"title": "$:/core/ui/DefaultSearchResultList",
"tags": "$:/tags/SearchResults",
"caption": "{{$:/language/Search/DefaultResults/Caption}}",
"text": "\\define searchResultList()\n//<small>{{$:/language/Search/Matches/Title}}</small>//\n\n<$list filter=\"[!is[system]search:title{$(searchTiddler)$}sort[title]limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n//<small>{{$:/language/Search/Matches/All}}</small>//\n\n<$list filter=\"[!is[system]search{$(searchTiddler)$}sort[title]limit[250]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n\n\\end\n<<searchResultList>>\n"
},
"$:/core/ui/EditTemplate/body": {
"title": "$:/core/ui/EditTemplate/body",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/Body/\n<$list filter=\"[is[current]has[_canonical_uri]]\">\n\n<div class=\"tc-message-box\">\n\n<<lingo External/Hint>>\n\n<a href={{!!_canonical_uri}}><$text text={{!!_canonical_uri}}/></a>\n\n<$edit-text field=\"_canonical_uri\" class=\"tc-edit-fields\"></$edit-text>\n\n</div>\n\n</$list>\n\n<$list filter=\"[is[current]!has[_canonical_uri]]\">\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"match\" text=\"yes\">\n\n<em class=\"tc-edit\"><<lingo Hint>></em> <$button type=\"set\" set=\"$:/state/showeditpreview\" setTo=\"no\"><<lingo Preview/Button/Hide>></$button>\n\n<div class=\"tc-tiddler-preview\">\n<div class=\"tc-tiddler-preview-preview\">\n<$set name=\"tv-tiddler-preview\" value=\"yes\">\n\n<$transclude />\n\n</$set>\n</div>\n\n<div class=\"tc-tiddler-preview-edit\">\n<$edit field=\"text\" class=\"tc-edit-texteditor\" placeholder={{$:/language/EditTemplate/Body/Placeholder}}/>\n\n</div>\n\n</div>\n\n</$reveal>\n\n<$reveal state=\"$:/state/showeditpreview\" type=\"nomatch\" text=\"yes\">\n\n<em class=\"tc-edit\"><<lingo Hint>></em> <$button type=\"set\" set=\"$:/state/showeditpreview\" setTo=\"yes\"><<lingo Preview/Button/Show>></$button>\n<$edit field=\"text\" class=\"tc-edit-texteditor\" placeholder={{$:/language/EditTemplate/Body/Placeholder}}/>\n\n</$reveal>\n\n</$list>\n"
},
"$:/core/ui/EditTemplate/controls": {
"title": "$:/core/ui/EditTemplate/controls",
"tags": "$:/tags/EditTemplate",
"text": "\\define config-title()\n$:/config/EditToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title tc-tiddler-edit-title\">\n<$view field=\"title\"/>\n<span class=\"tc-tiddler-controls tc-titlebar\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$transclude tiddler=<<listItem>>/></$reveal></$list></span>\n<div style=\"clear: both;\"></div>\n</div>\n"
},
"$:/core/ui/EditTemplate/fields": {
"title": "$:/core/ui/EditTemplate/fields",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n\\define config-title()\n$:/config/EditTemplateFields/Visibility/$(currentField)$\n\\end\n\n\\define config-filter()\n[[hide]] -[title{$(config-title)$}]\n\\end\n\n\\define new-field-inner()\n<$reveal type=\"nomatch\" text=\"\" default=<<name>>>\n<$button>\n<$action-sendmessage $message=\"tm-add-field\" $name=<<name>> $value=<<value>>/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldname\"/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldvalue\"/>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" text=\"\" default=<<name>>>\n<$button>\n<<lingo Fields/Add/Button>>\n</$button>\n</$reveal>\n\\end\n\n\\define new-field()\n<$set name=\"name\" value={{$:/temp/newfieldname}}>\n<$set name=\"value\" value={{$:/temp/newfieldvalue}}>\n<<new-field-inner>>\n</$set>\n</$set>\n\\end\n\n<div class=\"tc-edit-fields\">\n<table class=\"tc-edit-fields\">\n<tbody>\n<$list filter=\"[all[current]fields[]] +[sort[title]]\" variable=\"currentField\">\n<$list filter=<<config-filter>> variable=\"temp\">\n<tr class=\"tc-edit-field\">\n<td class=\"tc-edit-field-name\">\n<$text text=<<currentField>>/>:</td>\n<td class=\"tc-edit-field-value\">\n<$edit-text tiddler=<<currentTiddler>> field=<<currentField>> placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}}/>\n</td>\n<td class=\"tc-edit-field-remove\">\n<$button class=\"tc-btn-invisible\" tooltip={{$:/language/EditTemplate/Field/Remove/Hint}} aria-label={{$:/language/EditTemplate/Field/Remove/Caption}}>\n<$action-deletefield $field=<<currentField>>/>\n{{$:/core/images/delete-button}}\n</$button>\n</td>\n</tr>\n</$list>\n</$list>\n</tbody>\n</table>\n</div>\n\n<$fieldmangler>\n<div class=\"tc-edit-field-add\">\n<em class=\"tc-edit\">\n<<lingo Fields/Add/Prompt>>\n</em>\n<span class=\"tc-edit-field-add-name\">\n<$edit-text tiddler=\"$:/temp/newfieldname\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Name/Placeholder}} focusPopup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-edit-texteditor tc-popup-handle\"/>\n</span>\n<$button popup=<<qualify \"$:/state/popup/field-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Field/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Field/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/field-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$linkcatcher to=\"$:/temp/newfieldname\">\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/User>>\n</div>\n<$list filter=\"[!is[shadow]!is[system]fields[]sort[]] -created -creator -draft.of -draft.title -modified -modifier -tags -text -title -type\" variable=\"currentField\">\n<$link to=<<currentField>>>\n<<currentField>>\n</$link>\n</$list>\n<div class=\"tc-dropdown-item\">\n<<lingo Fields/Add/Dropdown/System>>\n</div>\n<$list filter=\"[fields[]sort[]] -[!is[shadow]!is[system]fields[]]\" variable=\"currentField\">\n<$link to=<<currentField>>>\n<<currentField>>\n</$link>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n<span class=\"tc-edit-field-add-value\">\n<$edit-text tiddler=\"$:/temp/newfieldvalue\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Fields/Add/Value/Placeholder}} class=\"tc-edit-texteditor\"/>\n</span>\n<span class=\"tc-edit-field-add-button\">\n<$macrocall $name=\"new-field\"/>\n</span>\n</div>\n</$fieldmangler>\n\n"
},
"$:/core/ui/EditTemplate/shadow": {
"title": "$:/core/ui/EditTemplate/shadow",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/Shadow/\n\\define pluginLinkBody()\n<$link to=\"\"\"$(pluginTitle)$\"\"\">\n<$text text=\"\"\"$(pluginTitle)$\"\"\"/>\n</$link>\n\\end\n<$list filter=\"[all[current]get[draft.of]is[shadow]!is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo Warning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>\n\n<$list filter=\"[all[current]get[draft.of]is[shadow]is[tiddler]]\">\n\n<$list filter=\"[all[current]shadowsource[]]\" variable=\"pluginTitle\">\n\n<$set name=\"pluginLink\" value=<<pluginLinkBody>>>\n<div class=\"tc-message-box\">\n\n<<lingo OverriddenWarning>>\n\n</div>\n</$set>\n</$list>\n\n</$list>"
},
"$:/core/ui/EditTemplate/tags": {
"title": "$:/core/ui/EditTemplate/tags",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n\\define tag-styles()\nbackground-color:$(backgroundColor)$;\n\\end\n<div class=\"tc-edit-tags\">\n<$fieldmangler>\n<$list filter=\"[all[current]tags[]sort[title]]\" storyview=\"pop\"><$set name=\"backgroundColor\" value={{!!color}}><span style=<<tag-styles>> class=\"tc-tag-label\">\n<$view field=\"title\" format=\"text\" />\n<$button message=\"tm-remove-tag\" param={{!!title}} class=\"tc-btn-invisible tc-remove-tag-button\">×</$button></span>\n</$set>\n</$list>\n\n<div class=\"tc-edit-add-tag\">\n<span class=\"tc-add-tag-name\">\n<$edit-text tiddler=\"$:/temp/NewTagName\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Tags/Add/Placeholder}} focusPopup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-edit-texteditor tc-popup-handle\"/>\n</span> <$button popup=<<qualify \"$:/state/popup/tags-auto-complete\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Tags/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Tags/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> <span class=\"tc-add-tag-button\">\n<$button message=\"tm-add-tag\" param={{$:/temp/NewTagName}} set=\"$:/temp/NewTagName\" setTo=\"\" class=\"\">\n<<lingo Tags/Add/Button>>\n</$button>\n</span>\n</div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/popup/tags-auto-complete\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown\">\n<$linkcatcher set=\"$:/temp/NewTagName\" setTo=\"\" message=\"tm-add-tag\">\n<$list filter=\"[tags[]!is[system]search:title{$:/temp/NewTagName}sort[]]\">\n{{||$:/core/ui/Components/tag-link}}\n</$list>\n<hr>\n<$list filter=\"[tags[]is[system]search:title{$:/temp/NewTagName}sort[]]\">\n{{||$:/core/ui/Components/tag-link}}\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n</$fieldmangler>\n</div>"
},
"$:/core/ui/EditTemplate/title": {
"title": "$:/core/ui/EditTemplate/title",
"tags": "$:/tags/EditTemplate",
"text": "<$edit-text field=\"draft.title\" class=\"tc-titlebar tc-edit-texteditor\" focus=\"true\"/>"
},
"$:/core/ui/EditTemplate/type": {
"title": "$:/core/ui/EditTemplate/type",
"tags": "$:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/EditTemplate/\n<div class=\"tc-type-selector\"><$fieldmangler>\n<em class=\"tc-edit\"><<lingo Type/Prompt>></em> <$edit-text field=\"type\" tag=\"input\" default=\"\" placeholder={{$:/language/EditTemplate/Type/Placeholder}} focusPopup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-edit-typeeditor tc-popup-handle\"/> <$button popup=<<qualify \"$:/state/popup/type-dropdown\">> class=\"tc-btn-invisible tc-btn-dropdown\" tooltip={{$:/language/EditTemplate/Type/Dropdown/Hint}} aria-label={{$:/language/EditTemplate/Type/Dropdown/Caption}}>{{$:/core/images/down-arrow}}</$button> <$button message=\"tm-remove-field\" param=\"type\" class=\"tc-btn-invisible tc-btn-icon\" tooltip={{$:/language/EditTemplate/Type/Delete/Hint}} aria-label={{$:/language/EditTemplate/Type/Delete/Caption}}>{{$:/core/images/delete-button}}</$button>\n</$fieldmangler></div>\n\n<div class=\"tc-block-dropdown-wrapper\">\n<$reveal state=<<qualify \"$:/state/popup/type-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n<div class=\"tc-block-dropdown tc-edit-type-dropdown\">\n<$linkcatcher to=\"!!type\">\n<$list filter='[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]each[group]sort[group]]'>\n<div class=\"tc-dropdown-item\">\n<$text text={{!!group}}/>\n</div>\n<$list filter=\"[all[shadows+tiddlers]prefix[$:/language/Docs/Types/]group{!!group}] +[sort[description]]\"><$link to={{!!name}}><$view field=\"description\"/> (<$view field=\"name\"/>)</$link>\n</$list>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>"
},
"$:/core/ui/EditTemplate": {
"title": "$:/core/ui/EditTemplate",
"text": "\\define frame-classes()\ntc-tiddler-frame tc-tiddler-edit-frame $(missingTiddlerClass)$ $(shadowTiddlerClass)$ $(systemTiddlerClass)$\n\\end\n<div class=<<frame-classes>>>\n<$set name=\"storyTiddler\" value=<<currentTiddler>>>\n<$keyboard key={{$:/config/shortcuts/cancel-edit-tiddler}} message=\"tm-cancel-tiddler\">\n<$keyboard key={{$:/config/shortcuts/save-tiddler}} message=\"tm-save-tiddler\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/EditTemplate]!has[draft.of]]\" variable=\"listItem\">\n<$transclude tiddler=<<listItem>>/>\n</$list>\n</$keyboard>\n</$keyboard>\n</$set>\n</div>\n"
},
"$:/core/ui/Buttons/cancel": {
"title": "$:/core/ui/Buttons/cancel",
"tags": "$:/tags/EditToolbar",
"caption": "{{$:/core/images/cancel-button}} {{$:/language/Buttons/Cancel/Caption}}",
"description": "{{$:/language/Buttons/Cancel/Hint}}",
"text": "<$button message=\"tm-cancel-tiddler\" tooltip={{$:/language/Buttons/Cancel/Hint}} aria-label={{$:/language/Buttons/Cancel/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/cancel-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Cancel/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/delete": {
"title": "$:/core/ui/Buttons/delete",
"tags": "$:/tags/EditToolbar $:/tags/ViewToolbar",
"caption": "{{$:/core/images/delete-button}} {{$:/language/Buttons/Delete/Caption}}",
"description": "{{$:/language/Buttons/Delete/Hint}}",
"text": "<$button message=\"tm-delete-tiddler\" tooltip={{$:/language/Buttons/Delete/Hint}} aria-label={{$:/language/Buttons/Delete/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/delete-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Delete/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/save": {
"title": "$:/core/ui/Buttons/save",
"tags": "$:/tags/EditToolbar",
"caption": "{{$:/core/images/done-button}} {{$:/language/Buttons/Save/Caption}}",
"description": "{{$:/language/Buttons/Save/Hint}}",
"text": "<$fieldmangler>\n<$button tooltip={{$:/language/Buttons/Save/Hint}} aria-label={{$:/language/Buttons/Save/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-add-tag\" $param={{$:/temp/NewTagName}}/>\n<$action-deletetiddler $tiddler=\"$:/temp/NewTagName\"/>\n<$action-sendmessage $message=\"tm-add-field\" $name={{$:/temp/newfieldname}} $value={{$:/temp/newfieldvalue}}/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldname\"/>\n<$action-deletetiddler $tiddler=\"$:/temp/newfieldvalue\"/>\n<$action-sendmessage $message=\"tm-save-tiddler\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/done-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Save/Caption}}/></span>\n</$list>\n</$button>\n</$fieldmangler>\n"
},
"$:/core/Filters/AllTags": {
"title": "$:/core/Filters/AllTags",
"tags": "$:/tags/Filter",
"filter": "[tags[]!is[system]sort[title]]",
"description": "{{$:/language/Filters/AllTags}}",
"text": ""
},
"$:/core/Filters/AllTiddlers": {
"title": "$:/core/Filters/AllTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]sort[title]]",
"description": "{{$:/language/Filters/AllTiddlers}}",
"text": ""
},
"$:/core/Filters/Drafts": {
"title": "$:/core/Filters/Drafts",
"tags": "$:/tags/Filter",
"filter": "[has[draft.of]sort[title]]",
"description": "{{$:/language/Filters/Drafts}}",
"text": ""
},
"$:/core/Filters/Missing": {
"title": "$:/core/Filters/Missing",
"tags": "$:/tags/Filter",
"filter": "[all[missing]sort[title]]",
"description": "{{$:/language/Filters/Missing}}",
"text": ""
},
"$:/core/Filters/Orphans": {
"title": "$:/core/Filters/Orphans",
"tags": "$:/tags/Filter",
"filter": "[all[orphans]sort[title]]",
"description": "{{$:/language/Filters/Orphans}}",
"text": ""
},
"$:/core/Filters/OverriddenShadowTiddlers": {
"title": "$:/core/Filters/OverriddenShadowTiddlers",
"tags": "$:/tags/Filter",
"filter": "[is[shadow]]",
"description": "{{$:/language/Filters/OverriddenShadowTiddlers}}",
"text": ""
},
"$:/core/Filters/RecentSystemTiddlers": {
"title": "$:/core/Filters/RecentSystemTiddlers",
"tags": "$:/tags/Filter",
"filter": "[has[modified]!sort[modified]limit[50]]",
"description": "{{$:/language/Filters/RecentSystemTiddlers}}",
"text": ""
},
"$:/core/Filters/RecentTiddlers": {
"title": "$:/core/Filters/RecentTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]has[modified]!sort[modified]limit[50]]",
"description": "{{$:/language/Filters/RecentTiddlers}}",
"text": ""
},
"$:/core/Filters/ShadowTiddlers": {
"title": "$:/core/Filters/ShadowTiddlers",
"tags": "$:/tags/Filter",
"filter": "[all[shadows]sort[title]]",
"description": "{{$:/language/Filters/ShadowTiddlers}}",
"text": ""
},
"$:/core/Filters/SystemTags": {
"title": "$:/core/Filters/SystemTags",
"tags": "$:/tags/Filter",
"filter": "[all[shadows+tiddlers]tags[]is[system]sort[title]]",
"description": "{{$:/language/Filters/SystemTags}}",
"text": ""
},
"$:/core/Filters/SystemTiddlers": {
"title": "$:/core/Filters/SystemTiddlers",
"tags": "$:/tags/Filter",
"filter": "[is[system]sort[title]]",
"description": "{{$:/language/Filters/SystemTiddlers}}",
"text": ""
},
"$:/core/Filters/TypedTiddlers": {
"title": "$:/core/Filters/TypedTiddlers",
"tags": "$:/tags/Filter",
"filter": "[!is[system]has[type]each[type]sort[type]] -[type[text/vnd.tiddlywiki]]",
"description": "{{$:/language/Filters/TypedTiddlers}}",
"text": ""
},
"$:/core/ui/ImportListing": {
"title": "$:/core/ui/ImportListing",
"text": "\\define lingo-base() $:/language/Import/\n\\define messageField()\nmessage-$(payloadTiddler)$\n\\end\n\\define selectionField()\nselection-$(payloadTiddler)$\n\\end\n\\define previewPopupState()\n$(currentTiddler)$!!popup-$(payloadTiddler)$\n\\end\n<table>\n<tbody>\n<tr>\n<th>\n<<lingo Listing/Select/Caption>>\n</th>\n<th>\n<<lingo Listing/Title/Caption>>\n</th>\n<th>\n<<lingo Listing/Status/Caption>>\n</th>\n</tr>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" variable=\"payloadTiddler\">\n<tr>\n<td>\n<$checkbox field=<<selectionField>> checked=\"checked\" unchecked=\"unchecked\" default=\"checked\"/>\n</td>\n<td>\n<$reveal type=\"nomatch\" state=<<previewPopupState>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<previewPopupState>> setTo=\"yes\">\n{{$:/core/images/right-arrow}} <$text text=<<payloadTiddler>>/>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<previewPopupState>> text=\"yes\">\n<$button class=\"tc-btn-invisible tc-btn-dropdown\" set=<<previewPopupState>> setTo=\"no\">\n{{$:/core/images/down-arrow}} <$text text=<<payloadTiddler>>/>\n</$button>\n</$reveal>\n</td>\n<td>\n<$view field=<<messageField>>/>\n</td>\n</tr>\n<tr>\n<td colspan=\"3\">\n<$reveal type=\"match\" text=\"yes\" state=<<previewPopupState>>>\n<$transclude subtiddler=<<payloadTiddler>> mode=\"block\"/>\n</$reveal>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n"
},
"$:/core/ui/ListItemTemplate": {
"title": "$:/core/ui/ListItemTemplate",
"text": "<div class=\"tc-menu-list-item\">\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</div>"
},
"$:/core/ui/MissingTemplate": {
"title": "$:/core/ui/MissingTemplate",
"text": "<div class=\"tc-tiddler-missing\">\n<$button popup=<<qualify \"$:/state/popup/missing\">> class=\"tc-btn-invisible tc-missing-tiddler-label\">\n<$view field=\"title\" format=\"text\" />\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/missing\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n<hr>\n<$list filter=\"[all[current]backlinks[]sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n</div>\n"
},
"$:/core/ui/MoreSideBar/All": {
"title": "$:/core/ui/MoreSideBar/All",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/All/Caption}}",
"text": "<$list filter={{$:/core/Filters/AllTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Drafts": {
"title": "$:/core/ui/MoreSideBar/Drafts",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Drafts/Caption}}",
"text": "<$list filter={{$:/core/Filters/Drafts!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Missing": {
"title": "$:/core/ui/MoreSideBar/Missing",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Missing/Caption}}",
"text": "<$list filter={{$:/core/Filters/Missing!!filter}} template=\"$:/core/ui/MissingTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Orphans": {
"title": "$:/core/ui/MoreSideBar/Orphans",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Orphans/Caption}}",
"text": "<$list filter={{$:/core/Filters/Orphans!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Recent": {
"title": "$:/core/ui/MoreSideBar/Recent",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Recent/Caption}}",
"text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
},
"$:/core/ui/MoreSideBar/Shadows": {
"title": "$:/core/ui/MoreSideBar/Shadows",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Shadows/Caption}}",
"text": "<$list filter={{$:/core/Filters/ShadowTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/System": {
"title": "$:/core/ui/MoreSideBar/System",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/System/Caption}}",
"text": "<$list filter={{$:/core/Filters/SystemTiddlers!!filter}} template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/MoreSideBar/Tags": {
"title": "$:/core/ui/MoreSideBar/Tags",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Tags/Caption}}",
"text": "<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n{{$:/core/ui/Buttons/tag-manager}}\n\n</$set>\n\n</$set>\n\n</$set>\n\n<$list filter={{$:/core/Filters/AllTags!!filter}}>\n\n<$transclude tiddler=\"$:/core/ui/TagTemplate\"/>\n\n</$list>\n\n<hr class=\"tc-untagged-separator\">\n\n{{$:/core/ui/UntaggedTemplate}}\n"
},
"$:/core/ui/MoreSideBar/Types": {
"title": "$:/core/ui/MoreSideBar/Types",
"tags": "$:/tags/MoreSideBar",
"caption": "{{$:/language/SideBar/Types/Caption}}",
"text": "<$list filter={{$:/core/Filters/TypedTiddlers!!filter}}>\n<div class=\"tc-menu-list-item\">\n<$view field=\"type\"/>\n<$list filter=\"[type{!!type}!is[system]sort[title]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}><$view field=\"title\"/></$link>\n</div>\n</$list>\n</div>\n</$list>\n"
},
"$:/core/ui/Buttons/advanced-search": {
"title": "$:/core/ui/Buttons/advanced-search",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/advanced-search-button}} {{$:/language/Buttons/AdvancedSearch/Caption}}",
"description": "{{$:/language/Buttons/AdvancedSearch/Hint}}",
"text": "\\define control-panel-button(class)\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/advanced-search-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/AdvancedSearch/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/AdvancedSearch]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/close-all": {
"title": "$:/core/ui/Buttons/close-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/close-all-button}} {{$:/language/Buttons/CloseAll/Caption}}",
"description": "{{$:/language/Buttons/CloseAll/Hint}}",
"text": "<$button message=\"tm-close-all-tiddlers\" tooltip={{$:/language/Buttons/CloseAll/Hint}} aria-label={{$:/language/Buttons/CloseAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/close-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/CloseAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/control-panel": {
"title": "$:/core/ui/Buttons/control-panel",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/options-button}} {{$:/language/Buttons/ControlPanel/Caption}}",
"description": "{{$:/language/Buttons/ControlPanel/Hint}}",
"text": "\\define control-panel-button(class)\n<$button to=\"$:/ControlPanel\" tooltip={{$:/language/Buttons/ControlPanel/Hint}} aria-label={{$:/language/Buttons/ControlPanel/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/options-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/ControlPanel/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/ControlPanel]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/encryption": {
"title": "$:/core/ui/Buttons/encryption",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/locked-padlock}} {{$:/language/Buttons/Encryption/Caption}}",
"description": "{{$:/language/Buttons/Encryption/Hint}}",
"text": "<$reveal type=\"match\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-clear-password\" tooltip={{$:/language/Buttons/Encryption/ClearPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/ClearPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/locked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/ClearPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/isEncrypted\" text=\"yes\">\n<$button message=\"tm-set-password\" tooltip={{$:/language/Buttons/Encryption/SetPassword/Hint}} aria-label={{$:/language/Buttons/Encryption/SetPassword/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/unlocked-padlock}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Encryption/SetPassword/Caption}}/></span>\n</$list>\n</$button>\n</$reveal>"
},
"$:/core/ui/Buttons/export-page": {
"title": "$:/core/ui/Buttons/export-page",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportPage/Caption}}",
"description": "{{$:/language/Buttons/ExportPage/Hint}}",
"text": "<$macrocall $name=\"exportButton\" exportFilter=\"[!is[system]sort[title]]\" lingoBase=\"$:/language/Buttons/ExportPage/\"/>"
},
"$:/core/ui/Buttons/fold-all": {
"title": "$:/core/ui/Buttons/fold-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/fold-all-button}} {{$:/language/Buttons/FoldAll/Caption}}",
"description": "{{$:/language/Buttons/FoldAll/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/FoldAll/Hint}} aria-label={{$:/language/Buttons/FoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FoldAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/full-screen": {
"title": "$:/core/ui/Buttons/full-screen",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/full-screen-button}} {{$:/language/Buttons/FullScreen/Caption}}",
"description": "{{$:/language/Buttons/FullScreen/Hint}}",
"text": "<$button message=\"tm-full-screen\" tooltip={{$:/language/Buttons/FullScreen/Hint}} aria-label={{$:/language/Buttons/FullScreen/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/full-screen-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FullScreen/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/home": {
"title": "$:/core/ui/Buttons/home",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/home-button}} {{$:/language/Buttons/Home/Caption}}",
"description": "{{$:/language/Buttons/Home/Hint}}",
"text": "<$button message=\"tm-home\" tooltip={{$:/language/Buttons/Home/Hint}} aria-label={{$:/language/Buttons/Home/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/home-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Home/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/import": {
"title": "$:/core/ui/Buttons/import",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/import-button}} {{$:/language/Buttons/Import/Caption}}",
"description": "{{$:/language/Buttons/Import/Hint}}",
"text": "<div class=\"tc-file-input-wrapper\">\n<$button tooltip={{$:/language/Buttons/Import/Hint}} aria-label={{$:/language/Buttons/Import/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/import-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Import/Caption}}/></span>\n</$list>\n</$button>\n<$browse tooltip={{$:/language/Buttons/Import/Hint}}/>\n</div>"
},
"$:/core/ui/Buttons/language": {
"title": "$:/core/ui/Buttons/language",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/globe}} {{$:/language/Buttons/Language/Caption}}",
"description": "{{$:/language/Buttons/Language/Hint}}",
"text": "\\define flag-title()\n$(languagePluginTitle)$/icon\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/language\">> tooltip={{$:/language/Buttons/Language/Hint}} aria-label={{$:/language/Buttons/Language/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value={{$:/language}}>\n<$image source=<<flag-title>>/>\n</$set>\n</span>\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Language/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/language\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down tc-drop-down-language-chooser\">\n<$linkcatcher to=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[description]]\">\n<$link>\n<span class=\"tc-drop-down-bullet\">\n<$reveal type=\"match\" state=\"$:/language\" text=<<currentTiddler>>>\n•\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/language\" text=<<currentTiddler>>>\n \n</$reveal>\n</span>\n<span class=\"tc-image-button\">\n<$set name=\"languagePluginTitle\" value=<<currentTiddler>>>\n<$transclude subtiddler=<<flag-title>>>\n<$list filter=\"[all[current]field:title[$:/languages/en-GB]]\">\n<$transclude tiddler=\"$:/languages/en-GB/icon\"/>\n</$list>\n</$transclude>\n</$set>\n</span>\n<$view field=\"description\">\n<$view field=\"name\">\n<$view field=\"title\"/>\n</$view>\n</$view>\n</$link>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>"
},
"$:/core/ui/Buttons/more-page-actions": {
"title": "$:/core/ui/Buttons/more-page-actions",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"text": "\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/More/Caption}}/></span>\n</$list>\n</$button><$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]] -[[$:/core/ui/Buttons/more-page-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
},
"$:/core/ui/Buttons/new-journal": {
"title": "$:/core/ui/Buttons/new-journal",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournal/Caption}}",
"description": "{{$:/language/Buttons/NewJournal/Hint}}",
"text": "\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournal/Hint}} aria-label={{$:/language/Buttons/NewJournal/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<now \"$(journalTitleTemplate)$\">> tags=\"$(journalTags)$\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewJournal/Caption}}/></span>\n</$list>\n</$button>\n\\end\n<$set name=\"journalTitleTemplate\" value={{$:/config/NewJournal/Title}}>\n<$set name=\"journalTags\" value={{$:/config/NewJournal/Tags}}>\n<<journalButton>>\n</$set></$set>"
},
"$:/core/ui/Buttons/new-tiddler": {
"title": "$:/core/ui/Buttons/new-tiddler",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/new-button}} {{$:/language/Buttons/NewTiddler/Caption}}",
"description": "{{$:/language/Buttons/NewTiddler/Hint}}",
"text": "<$button message=\"tm-new-tiddler\" tooltip={{$:/language/Buttons/NewTiddler/Hint}} aria-label={{$:/language/Buttons/NewTiddler/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/new-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewTiddler/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/palette": {
"title": "$:/core/ui/Buttons/palette",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/palette}} {{$:/language/Buttons/Palette/Caption}}",
"description": "{{$:/language/Buttons/Palette/Hint}}",
"text": "<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/palette\">> tooltip={{$:/language/Buttons/Palette/Hint}} aria-label={{$:/language/Buttons/Palette/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/palette}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Palette/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/palette\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\" style=\"font-size:0.7em;\">\n{{$:/snippets/paletteswitcher}}\n</div>\n</$reveal>"
},
"$:/core/ui/Buttons/refresh": {
"title": "$:/core/ui/Buttons/refresh",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/refresh-button}} {{$:/language/Buttons/Refresh/Caption}}",
"description": "{{$:/language/Buttons/Refresh/Hint}}",
"text": "<$button message=\"tm-browser-refresh\" tooltip={{$:/language/Buttons/Refresh/Hint}} aria-label={{$:/language/Buttons/Refresh/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/refresh-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Refresh/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/save-wiki": {
"title": "$:/core/ui/Buttons/save-wiki",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/save-button}} {{$:/language/Buttons/SaveWiki/Caption}}",
"description": "{{$:/language/Buttons/SaveWiki/Hint}}",
"text": "<$button message=\"tm-save-wiki\" param={{$:/config/SaveWikiButton/Template}} tooltip={{$:/language/Buttons/SaveWiki/Hint}} aria-label={{$:/language/Buttons/SaveWiki/Caption}} class=<<tv-config-toolbar-class>>>\n<span class=\"tc-dirty-indicator\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/save-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/SaveWiki/Caption}}/></span>\n</$list>\n</span>\n</$button>"
},
"$:/core/ui/Buttons/storyview": {
"title": "$:/core/ui/Buttons/storyview",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/storyview-classic}} {{$:/language/Buttons/StoryView/Caption}}",
"description": "{{$:/language/Buttons/StoryView/Hint}}",
"text": "\\define icon()\n$:/core/images/storyview-$(storyview)$\n\\end\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/storyview\">> tooltip={{$:/language/Buttons/StoryView/Hint}} aria-label={{$:/language/Buttons/StoryView/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n<$set name=\"storyview\" value={{$:/view}}>\n<$transclude tiddler=<<icon>>/>\n</$set>\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/StoryView/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/storyview\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/view\">\n<$list filter=\"[storyviews[]]\" variable=\"storyview\">\n<$link to=<<storyview>>>\n<span class=\"tc-drop-down-bullet\">\n<$reveal type=\"match\" state=\"$:/view\" text=<<storyview>>>\n•\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/view\" text=<<storyview>>>\n \n</$reveal>\n</span>\n<$transclude tiddler=<<icon>>/>\n<$text text=<<storyview>>/></$link>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>"
},
"$:/core/ui/Buttons/tag-manager": {
"title": "$:/core/ui/Buttons/tag-manager",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/tag-button}} {{$:/language/Buttons/TagManager/Caption}}",
"description": "{{$:/language/Buttons/TagManager/Hint}}",
"text": "\\define control-panel-button(class)\n<$button to=\"$:/TagManager\" tooltip={{$:/language/Buttons/TagManager/Hint}} aria-label={{$:/language/Buttons/TagManager/Caption}} class=\"\"\"$(tv-config-toolbar-class)$ $class$\"\"\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/tag-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/TagManager/Caption}}/></span>\n</$list>\n</$button>\n\\end\n\n<$list filter=\"[list[$:/StoryList]] +[field:title[$:/TagManager]]\" emptyMessage=<<control-panel-button>>>\n<<control-panel-button \"tc-selected\">>\n</$list>\n"
},
"$:/core/ui/Buttons/theme": {
"title": "$:/core/ui/Buttons/theme",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/theme-button}} {{$:/language/Buttons/Theme/Caption}}",
"description": "{{$:/language/Buttons/Theme/Hint}}",
"text": "<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/theme\">> tooltip={{$:/language/Buttons/Theme/Hint}} aria-label={{$:/language/Buttons/Theme/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/theme-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Theme/Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/theme\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\" variable=\"themeTitle\">\n<$link to=<<themeTitle>>>\n<span class=\"tc-drop-down-bullet\">\n<$reveal type=\"match\" state=\"$:/theme\" text=<<themeTitle>>>\n•\n</$reveal>\n<$reveal type=\"nomatch\" state=\"$:/theme\" text=<<themeTitle>>>\n \n</$reveal>\n</span>\n<$view tiddler=<<themeTitle>> field=\"name\"/>\n</$link>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>"
},
"$:/core/ui/Buttons/unfold-all": {
"title": "$:/core/ui/Buttons/unfold-all",
"tags": "$:/tags/PageControls",
"caption": "{{$:/core/images/unfold-all-button}} {{$:/language/Buttons/UnfoldAll/Caption}}",
"description": "{{$:/language/Buttons/UnfoldAll/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/UnfoldAll/Hint}} aria-label={{$:/language/Buttons/UnfoldAll/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-unfold-all-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-all-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/UnfoldAll/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/PageTemplate/pagecontrols": {
"title": "$:/core/ui/PageTemplate/pagecontrols",
"text": "\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-page-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n<$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\">\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n</$reveal>\n</$list>\n</div>\n\n"
},
"$:/core/ui/PageStylesheet": {
"title": "$:/core/ui/PageStylesheet",
"text": "<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\">\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Stylesheet]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\n</$set>\n\n</$set>\n\n</$importvariables>\n"
},
"$:/core/ui/PageTemplate/alerts": {
"title": "$:/core/ui/PageTemplate/alerts",
"tags": "$:/tags/PageTemplate",
"text": "<div class=\"tc-alerts\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Alert]!has[draft.of]]\" template=\"$:/core/ui/AlertTemplate\" storyview=\"pop\"/>\n\n</div>\n"
},
"$:/core/ui/PageTemplate/pluginreloadwarning": {
"title": "$:/core/ui/PageTemplate/pluginreloadwarning",
"tags": "$:/tags/PageTemplate",
"text": "\\define lingo-base() $:/language/\n\n<$list filter=\"[has[plugin-type]haschanged[]!plugin-type[import]limit[1]]\">\n\n<$reveal type=\"nomatch\" state=\"$:/temp/HidePluginWarning\" text=\"yes\">\n\n<div class=\"tc-plugin-reload-warning\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<<lingo PluginReloadWarning>> <$button set=\"$:/temp/HidePluginWarning\" setTo=\"yes\" class=\"tc-btn-invisible\">{{$:/core/images/close-button}}</$button>\n\n</$set>\n\n</div>\n\n</$reveal>\n\n</$list>\n"
},
"$:/core/ui/PageTemplate/sidebar": {
"title": "$:/core/ui/PageTemplate/sidebar",
"tags": "$:/tags/PageTemplate",
"text": "<$scrollable fallthrough=\"no\" class=\"tc-sidebar-scrollable\">\n\n<div class=\"tc-sidebar-header\">\n\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\" retain=\"yes\" animate=\"yes\">\n\n<h1 class=\"tc-site-title\">\n\n<$transclude tiddler=\"$:/SiteTitle\" mode=\"inline\"/>\n\n</h1>\n\n<div class=\"tc-site-subtitle\">\n\n<$transclude tiddler=\"$:/SiteSubtitle\" mode=\"inline\"/>\n\n</div>\n\n{{||$:/core/ui/PageTemplate/pagecontrols}}\n\n<$transclude tiddler=\"$:/core/ui/SideBarLists\" mode=\"inline\"/>\n\n</$reveal>\n\n</div>\n\n</$scrollable>"
},
"$:/core/ui/PageTemplate/story": {
"title": "$:/core/ui/PageTemplate/story",
"tags": "$:/tags/PageTemplate",
"text": "<section class=\"tc-story-river\">\n\n<section class=\"story-backdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/AboveStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" template=\"$:/core/ui/ViewTemplate\" editTemplate=\"$:/core/ui/EditTemplate\" storyview={{$:/view}} emptyMessage={{$:/config/EmptyStoryMessage}}/>\n\n<section class=\"story-frontdrop\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/BelowStory]!has[draft.of]]\">\n\n<$transclude/>\n\n</$list>\n\n</section>\n\n</section>\n"
},
"$:/core/ui/PageTemplate/topleftbar": {
"title": "$:/core/ui/PageTemplate/topleftbar",
"tags": "$:/tags/PageTemplate",
"text": "<span class=\"tc-topbar tc-topbar-left\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopLeftBar]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
},
"$:/core/ui/PageTemplate/toprightbar": {
"title": "$:/core/ui/PageTemplate/toprightbar",
"tags": "$:/tags/PageTemplate",
"text": "<span class=\"tc-topbar tc-topbar-right\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TopRightBar]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$list>\n\n</span>\n"
},
"$:/core/ui/PageTemplate": {
"title": "$:/core/ui/PageTemplate",
"text": "\\define containerClasses()\ntc-page-container tc-page-view-$(themeTitle)$ tc-language-$(languageTitle)$\n\\end\n\n<$importvariables filter=\"[[$:/core/ui/PageMacros]] [all[shadows+tiddlers]tag[$:/tags/Macro]!has[draft.of]]\">\n\n<$set name=\"tv-config-toolbar-icons\" value={{$:/config/Toolbar/Icons}}>\n\n<$set name=\"tv-config-toolbar-text\" value={{$:/config/Toolbar/Text}}>\n\n<$set name=\"tv-config-toolbar-class\" value={{$:/config/Toolbar/ButtonClass}}>\n\n<$set name=\"themeTitle\" value={{$:/view}}>\n\n<$set name=\"currentTiddler\" value={{$:/language}}>\n\n<$set name=\"languageTitle\" value={{!!name}}>\n\n<$set name=\"currentTiddler\" value=\"\">\n\n<div class=<<containerClasses>>>\n\n<$navigator story=\"$:/StoryList\" history=\"$:/HistoryList\" openLinkFromInsideRiver={{$:/config/Navigation/openLinkFromInsideRiver}} openLinkFromOutsideRiver={{$:/config/Navigation/openLinkFromOutsideRiver}}>\n\n<$dropzone>\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageTemplate]!has[draft.of]]\" variable=\"listItem\">\n\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n\n</$dropzone>\n\n</$navigator>\n\n</div>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</$importvariables>\n"
},
"$:/core/ui/PluginInfo": {
"title": "$:/core/ui/PluginInfo",
"text": "\\define localised-info-tiddler-title()\n$(currentTiddler)$/$(languageTitle)$/$(currentTab)$\n\\end\n\\define info-tiddler-title()\n$(currentTiddler)$/$(currentTab)$\n\\end\n<$transclude tiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<localised-info-tiddler-title>> mode=\"block\">\n<$transclude tiddler=<<currentTiddler>> subtiddler=<<info-tiddler-title>> mode=\"block\">\nNo ''\"<$text text=<<currentTab>>/>\"'' found\n</$transclude>\n</$transclude>\n</$transclude>\n"
},
"$:/core/ui/SearchResults": {
"title": "$:/core/ui/SearchResults",
"text": "<div class=\"tc-search-results\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]butfirst[]limit[1]]\" emptyMessage=\"\"\"\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\">\n<$transclude mode=\"block\"/>\n</$list>\n\"\"\">\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SearchResults]!has[draft.of]]\" default={{$:/config/SearchResults/Default}}/>\n\n</$list>\n\n</div>\n"
},
"$:/core/ui/SideBar/More": {
"title": "$:/core/ui/SideBar/More",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/More/Caption}}",
"text": "<div class=\"tc-more-sidebar\">\n<<tabs \"[all[shadows+tiddlers]tag[$:/tags/MoreSideBar]!has[draft.of]]\" \"$:/core/ui/MoreSideBar/Tags\" \"$:/state/tab/moresidebar\" \"tc-vertical\">>\n</div>\n"
},
"$:/core/ui/SideBar/Open": {
"title": "$:/core/ui/SideBar/Open",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Open/Caption}}",
"text": "\\define lingo-base() $:/language/CloseAll/\n<$list filter=\"[list[$:/StoryList]]\" history=\"$:/HistoryList\" storyview=\"pop\">\n\n<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=\"tc-btn-invisible tc-btn-mini\">×</$button> <$link to={{!!title}}><$view field=\"title\"/></$link>\n\n</$list>\n\n<$button message=\"tm-close-all-tiddlers\" class=\"tc-btn-invisible tc-btn-mini\"><<lingo Button>></$button>\n"
},
"$:/core/ui/SideBar/Recent": {
"title": "$:/core/ui/SideBar/Recent",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Recent/Caption}}",
"text": "<$macrocall $name=\"timeline\" format={{$:/language/RecentChanges/DateFormat}}/>\n"
},
"$:/core/ui/SideBar/Tools": {
"title": "$:/core/ui/SideBar/Tools",
"tags": "$:/tags/SideBar",
"caption": "{{$:/language/SideBar/Tools/Caption}}",
"text": "\\define lingo-base() $:/language/ControlPanel/\n\\define config-title()\n$:/config/PageControlButtons/Visibility/$(listItem)$\n\\end\n\n<<lingo Basics/Version/Prompt>> <<version>>\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/PageControls]!has[draft.of]]\" variable=\"listItem\">\n\n<div style=\"position:relative;\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</div>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/SideBarLists": {
"title": "$:/core/ui/SideBarLists",
"text": "<div class=\"tc-sidebar-lists\">\n\n<$set name=\"searchTiddler\" value=\"$:/temp/search\">\n<div class=\"tc-search\">\n<$edit-text tiddler=\"$:/temp/search\" type=\"search\" tag=\"input\" focus={{$:/config/Search/AutoFocus}} focusPopup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-popup-handle\"/>\n<$reveal state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n<$button tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/advancedsearch\" text={{$:/temp/search}}/>\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\"/>\n<$action-navigate $to=\"$:/AdvancedSearch\"/>\n{{$:/core/images/advanced-search-button}}\n</$button>\n<$button class=\"tc-btn-invisible\">\n<$action-setfield $tiddler=\"$:/temp/search\" text=\"\" />\n{{$:/core/images/close-button}}\n</$button>\n<$button popup=<<qualify \"$:/state/popup/search-dropdown\">> class=\"tc-btn-invisible\">\n<$set name=\"resultCount\" value=\"\"\"<$count filter=\"[!is[system]search{$(searchTiddler)$}]\"/>\"\"\">\n{{$:/core/images/down-arrow}} {{$:/language/Search/Matches}}\n</$set>\n</$button>\n</$reveal>\n<$reveal state=\"$:/temp/search\" type=\"match\" text=\"\">\n<$button to=\"$:/AdvancedSearch\" tooltip={{$:/language/Buttons/AdvancedSearch/Hint}} aria-label={{$:/language/Buttons/AdvancedSearch/Caption}} class=\"tc-btn-invisible\">\n{{$:/core/images/advanced-search-button}}\n</$button>\n</$reveal>\n</div>\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown-wrapper\" state=\"$:/temp/search\" type=\"nomatch\" text=\"\">\n\n<$reveal tag=\"div\" class=\"tc-block-dropdown tc-search-drop-down tc-popup-handle\" state=<<qualify \"$:/state/popup/search-dropdown\">> type=\"nomatch\" text=\"\" default=\"\">\n\n{{$:/core/ui/SearchResults}}\n\n</$reveal>\n\n</$reveal>\n\n</$set>\n\n<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/SideBar]!has[draft.of]]\" default={{$:/config/DefaultSidebarTab}} state=\"$:/state/tab/sidebar\" />\n\n</div>\n"
},
"$:/TagManager": {
"title": "$:/TagManager",
"icon": "$:/core/images/tag-button",
"color": "#bbb",
"text": "\\define lingo-base() $:/language/TagManager/\n\\define iconEditorTab(type)\n<$list filter=\"[all[shadows+tiddlers]is[image]] [all[shadows+tiddlers]tag[$:/tags/Image]] -[type[application/pdf]] +[sort[title]] +[$type$is[system]]\">\n<$link to={{!!title}}>\n<$transclude/> <$view field=\"title\"/>\n</$link>\n</$list>\n\\end\n\\define iconEditor(title)\n<div class=\"tc-drop-down-wrapper\">\n<$button popup=<<qualify \"$:/state/popup/icon/$title$\">> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/icon/$title$\">> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$title$!!icon\">\n<<iconEditorTab type:\"!\">>\n<hr/>\n<<iconEditorTab type:\"\">>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n\\end\n\\define qualifyTitle(title)\n$title$$(currentTiddler)$\n\\end\n\\define toggleButton(state)\n<$reveal state=\"$state$\" type=\"match\" text=\"closed\" default=\"closed\">\n<$button set=\"$state$\" setTo=\"open\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n<$reveal state=\"$state$\" type=\"match\" text=\"open\" default=\"closed\">\n<$button set=\"$state$\" setTo=\"closed\" class=\"tc-btn-invisible tc-btn-dropdown\" selectedClass=\"tc-selected\">\n{{$:/core/images/info-button}}\n</$button>\n</$reveal>\n\\end\n<table class=\"tc-tag-manager-table\">\n<tbody>\n<tr>\n<th><<lingo Colour/Heading>></th>\n<th class=\"tc-tag-manager-tag\"><<lingo Tag/Heading>></th>\n<th><<lingo Count/Heading>></th>\n<th><<lingo Icon/Heading>></th>\n<th><<lingo Info/Heading>></th>\n</tr>\n<$list filter=\"[tags[]!is[system]sort[title]]\">\n<tr>\n<td><$edit-text field=\"color\" tag=\"input\" type=\"color\"/></td>\n<td><$transclude tiddler=\"$:/core/ui/TagTemplate\"/></td>\n<td><$count filter=\"[all[current]tagging[]]\"/></td>\n<td>\n<$macrocall $name=\"iconEditor\" title={{!!title}}/>\n</td>\n<td>\n<$macrocall $name=\"toggleButton\" state=<<qualifyTitle \"$:/state/tag-manager/\">> /> \n</td>\n</tr>\n<tr>\n<td></td>\n<td colspan=\"4\">\n<$reveal state=<<qualifyTitle \"$:/state/tag-manager/\">> type=\"match\" text=\"open\" default=\"\">\n<table>\n<tbody>\n<tr><td><<lingo Colour/Heading>></td><td><$edit-text field=\"color\" tag=\"input\" type=\"text\" size=\"9\"/></td></tr>\n<tr><td><<lingo Icon/Heading>></td><td><$edit-text field=\"icon\" tag=\"input\" size=\"45\"/></td></tr>\n</tbody>\n</table>\n</$reveal>\n</td>\n</tr>\n</$list>\n<tr>\n<td></td>\n<td>\n{{$:/core/ui/UntaggedTemplate}}\n</td>\n<td>\n<small class=\"tc-menu-list-count\"><$count filter=\"[untagged[]!is[system]] -[tags[]]\"/></small>\n</td>\n<td></td>\n<td></td>\n</tr>\n</tbody>\n</table>\n"
},
"$:/core/ui/TagTemplate": {
"title": "$:/core/ui/TagTemplate",
"text": "\\define tag-styles()\nbackground-color:$(backgroundColor)$;\nfill:$(foregroundColor)$;\ncolor:$(foregroundColor)$;\n\\end\n\n\\define tag-body-inner(colour,fallbackTarget,colourA,colourB)\n<$set name=\"foregroundColor\" value=<<contrastcolour target:\"\"\"$colour$\"\"\" fallbackTarget:\"\"\"$fallbackTarget$\"\"\" colourA:\"\"\"$colourA$\"\"\" colourB:\"\"\"$colourB$\"\"\">>>\n<$set name=\"backgroundColor\" value=\"\"\"$colour$\"\"\">\n<$button popup=<<qualify \"$:/state/popup/tag\">> class=\"tc-btn-invisible tc-tag-label\" style=<<tag-styles>>>\n<$transclude tiddler={{!!icon}}/> <$view field=\"title\" format=\"text\" />\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\" animate=\"yes\"><div class=\"tc-drop-down\"><$transclude tiddler=\"$:/core/ui/ListItemTemplate\"/>\n<hr>\n<$list filter=\"[all[current]tagging[]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n</$set>\n</$set>\n\\end\n\n\\define tag-body(colour,palette)\n<span class=\"tc-tag-list-item\">\n<$macrocall $name=\"tag-body-inner\" colour=\"\"\"$colour$\"\"\" fallbackTarget={{$palette$##tag-background}} colourA={{$palette$##foreground}} colourB={{$palette$##background}}/>\n</span>\n\\end\n\n<$macrocall $name=\"tag-body\" colour={{!!color}} palette={{$:/palette}}/>"
},
"$:/core/ui/TiddlerFieldTemplate": {
"title": "$:/core/ui/TiddlerFieldTemplate",
"text": "<tr class=\"tc-view-field\">\n<td class=\"tc-view-field-name\">\n<$text text=<<listItem>>/>\n</td>\n<td class=\"tc-view-field-value\">\n<$view field=<<listItem>>/>\n</td>\n</tr>"
},
"$:/core/ui/TiddlerFields": {
"title": "$:/core/ui/TiddlerFields",
"text": "<table class=\"tc-view-field-table\">\n<tbody>\n<$list filter=\"[all[current]fields[]sort[title]] -text\" template=\"$:/core/ui/TiddlerFieldTemplate\" variable=\"listItem\"/>\n</tbody>\n</table>\n"
},
"$:/core/ui/TiddlerInfo/Advanced/PluginInfo": {
"title": "$:/core/ui/TiddlerInfo/Advanced/PluginInfo",
"tags": "$:/tags/TiddlerInfo/Advanced",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/PluginInfo/\n<$list filter=\"[all[current]has[plugin-type]]\">\n\n! <<lingo Heading>>\n\n<<lingo Hint>>\n<ul>\n<$list filter=\"[all[current]plugintiddlers[]sort[title]]\" emptyMessage=<<lingo Empty/Hint>>>\n<li>\n<$link to={{!!title}}>\n<$view field=\"title\"/>\n</$link>\n</li>\n</$list>\n</ul>\n\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Advanced/ShadowInfo": {
"title": "$:/core/ui/TiddlerInfo/Advanced/ShadowInfo",
"tags": "$:/tags/TiddlerInfo/Advanced",
"text": "\\define lingo-base() $:/language/TiddlerInfo/Advanced/ShadowInfo/\n<$set name=\"infoTiddler\" value=<<currentTiddler>>>\n\n''<<lingo Heading>>''\n\n<$list filter=\"[all[current]!is[shadow]]\">\n\n<<lingo NotShadow/Hint>>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]]\">\n\n<<lingo Shadow/Hint>>\n\n<$list filter=\"[all[current]shadowsource[]]\">\n\n<$set name=\"pluginTiddler\" value=<<currentTiddler>>>\n<<lingo Shadow/Source>>\n</$set>\n\n</$list>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\">\n\n<<lingo OverriddenShadow/Hint>>\n\n</$list>\n\n\n</$list>\n</$set>\n"
},
"$:/core/ui/TiddlerInfo/Advanced": {
"title": "$:/core/ui/TiddlerInfo/Advanced",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Advanced/Caption}}",
"text": "<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo/Advanced]!has[draft.of]]\" variable=\"listItem\">\n<$transclude tiddler=<<listItem>>/>\n\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Fields": {
"title": "$:/core/ui/TiddlerInfo/Fields",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Fields/Caption}}",
"text": "<$transclude tiddler=\"$:/core/ui/TiddlerFields\"/>\n"
},
"$:/core/ui/TiddlerInfo/List": {
"title": "$:/core/ui/TiddlerInfo/List",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/List/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[list{!!title}]\" emptyMessage=<<lingo List/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/Listed": {
"title": "$:/core/ui/TiddlerInfo/Listed",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Listed/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]listed[]!is[system]]\" emptyMessage=<<lingo Listed/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/References": {
"title": "$:/core/ui/TiddlerInfo/References",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/References/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]backlinks[]sort[title]]\" emptyMessage=<<lingo References/Empty>> template=\"$:/core/ui/ListItemTemplate\">\n</$list>\n"
},
"$:/core/ui/TiddlerInfo/Tagging": {
"title": "$:/core/ui/TiddlerInfo/Tagging",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Tagging/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n<$list filter=\"[all[current]tagging[]]\" emptyMessage=<<lingo Tagging/Empty>> template=\"$:/core/ui/ListItemTemplate\"/>\n"
},
"$:/core/ui/TiddlerInfo/Tools": {
"title": "$:/core/ui/TiddlerInfo/Tools",
"tags": "$:/tags/TiddlerInfo",
"caption": "{{$:/language/TiddlerInfo/Tools/Caption}}",
"text": "\\define lingo-base() $:/language/TiddlerInfo/\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\">\n\n<$checkbox tiddler=<<config-title>> field=\"text\" checked=\"show\" unchecked=\"hide\" default=\"show\"/> <$transclude tiddler=<<listItem>>/> <i class=\"tc-muted\"><$transclude tiddler=<<listItem>> field=\"description\"/></i>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n"
},
"$:/core/ui/TiddlerInfo": {
"title": "$:/core/ui/TiddlerInfo",
"text": "<$macrocall $name=\"tabs\" tabsList=\"[all[shadows+tiddlers]tag[$:/tags/TiddlerInfo]!has[draft.of]]\" default={{$:/config/TiddlerInfo/Default}}/>"
},
"$:/core/ui/TopBar/menu": {
"title": "$:/core/ui/TopBar/menu",
"tags": "$:/tags/TopRightBar",
"text": "<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"no\">\n<$button set=\"$:/state/sidebar\" setTo=\"no\" tooltip={{$:/language/Buttons/HideSideBar/Hint}} aria-label={{$:/language/Buttons/HideSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-right}}</$button>\n</$reveal>\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"no\">\n<$button set=\"$:/state/sidebar\" setTo=\"yes\" tooltip={{$:/language/Buttons/ShowSideBar/Hint}} aria-label={{$:/language/Buttons/ShowSideBar/Caption}} class=\"tc-btn-invisible\">{{$:/core/images/chevron-left}}</$button>\n</$reveal>\n"
},
"$:/core/ui/UntaggedTemplate": {
"title": "$:/core/ui/UntaggedTemplate",
"text": "\\define lingo-base() $:/language/SideBar/\n<$button popup=<<qualify \"$:/state/popup/tag\">> class=\"tc-btn-invisible tc-untagged-label tc-tag-label\">\n<<lingo Tags/Untagged/Caption>>\n</$button>\n<$reveal state=<<qualify \"$:/state/popup/tag\">> type=\"popup\" position=\"below\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[untagged[]!is[system]] -[tags[]] +[sort[title]]\" template=\"$:/core/ui/ListItemTemplate\"/>\n</div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/body": {
"title": "$:/core/ui/ViewTemplate/body",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" class=\"tc-tiddler-body\" type=\"nomatch\" state=<<folded-state>> text=\"hide\" retain=\"yes\" animate=\"yes\">\n\n<$list filter=\"[all[current]!has[plugin-type]!field:hide-body[yes]]\">\n\n<$transclude>\n\n<$transclude tiddler=\"$:/language/MissingTiddler/Hint\"/>\n\n</$transclude>\n\n</$list>\n\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/classic": {
"title": "$:/core/ui/ViewTemplate/classic",
"tags": "$:/tags/ViewTemplate $:/tags/EditTemplate",
"text": "\\define lingo-base() $:/language/ClassicWarning/\n<$list filter=\"[all[current]type[text/x-tiddlywiki]]\">\n<div class=\"tc-message-box\">\n\n<<lingo Hint>>\n\n<$button set=\"!!type\" setTo=\"text/vnd.tiddlywiki\"><<lingo Upgrade/Caption>></$button>\n\n</div>\n</$list>\n"
},
"$:/core/ui/ViewTemplate/import": {
"title": "$:/core/ui/ViewTemplate/import",
"tags": "$:/tags/ViewTemplate",
"text": "\\define lingo-base() $:/language/Import/\n\n<$list filter=\"[all[current]field:plugin-type[import]]\">\n\n<div class=\"tc-import\">\n\n<<lingo Listing/Hint>>\n\n<$button message=\"tm-delete-tiddler\" param=<<currentTiddler>>><<lingo Listing/Cancel/Caption>></$button>\n<$button message=\"tm-perform-import\" param=<<currentTiddler>>><<lingo Listing/Import/Caption>></$button>\n\n{{||$:/core/ui/ImportListing}}\n\n<$button message=\"tm-delete-tiddler\" param=<<currentTiddler>>><<lingo Listing/Cancel/Caption>></$button>\n<$button message=\"tm-perform-import\" param=<<currentTiddler>>><<lingo Listing/Import/Caption>></$button>\n\n</div>\n\n</$list>\n"
},
"$:/core/ui/ViewTemplate/plugin": {
"title": "$:/core/ui/ViewTemplate/plugin",
"tags": "$:/tags/ViewTemplate",
"text": "<$list filter=\"[all[current]has[plugin-type]] -[all[current]field:plugin-type[import]]\">\n\n{{||$:/core/ui/TiddlerInfo/Advanced/PluginInfo}}\n\n</$list>\n"
},
"$:/core/ui/ViewTemplate/subtitle": {
"title": "$:/core/ui/ViewTemplate/subtitle",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal type=\"nomatch\" state=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-subtitle\">\n<$link to={{!!modifier}}>\n<$view field=\"modifier\"/>\n</$link> <$view field=\"modified\" format=\"date\" template={{$:/language/Tiddler/DateFormat}}/>\n</div>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate/tags": {
"title": "$:/core/ui/ViewTemplate/tags",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal type=\"nomatch\" state=<<folded-state>> text=\"hide\" tag=\"div\" retain=\"yes\" animate=\"yes\">\n<div class=\"tc-tags-wrapper\"><$list filter=\"[all[current]tags[]sort[title]]\" template=\"$:/core/ui/TagTemplate\" storyview=\"pop\"/></div>\n</$reveal>"
},
"$:/core/ui/ViewTemplate/title": {
"title": "$:/core/ui/ViewTemplate/title",
"tags": "$:/tags/ViewTemplate",
"text": "\\define title-styles()\nfill:$(foregroundColor)$;\n\\end\n\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<div class=\"tc-tiddler-title\">\n<div class=\"tc-titlebar\">\n<span class=\"tc-tiddler-controls\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]]\" variable=\"listItem\"><$reveal type=\"nomatch\" state=<<config-title>> text=\"hide\"><$transclude tiddler=<<listItem>>/></$reveal></$list>\n</span>\n<$set name=\"tv-wikilinks\" value={{$:/config/Tiddlers/TitleLinks}}>\n<$link>\n<$set name=\"foregroundColor\" value={{!!color}}>\n<span class=\"tc-tiddler-title-icon\" style=<<title-styles>>>\n<$transclude tiddler={{!!icon}}/>\n</span>\n</$set>\n<$list filter=\"[all[current]removeprefix[$:/]]\">\n<h2 class=\"tc-title\" title={{$:/language/SystemTiddler/Tooltip}}>\n<span class=\"tc-system-title-prefix\">$:/</span><$text text=<<currentTiddler>>/>\n</h2>\n</$list>\n<$list filter=\"[all[current]!prefix[$:/]]\">\n<h2 class=\"tc-title\">\n<$view field=\"title\"/>\n</h2>\n</$list>\n</$link>\n</$set>\n</div>\n\n<$reveal type=\"nomatch\" text=\"\" default=\"\" state=<<tiddlerInfoState>> class=\"tc-tiddler-info tc-popup-handle\" animate=\"yes\" retain=\"yes\">\n\n<$transclude tiddler=\"$:/core/ui/TiddlerInfo\"/>\n\n</$reveal>\n</div>"
},
"$:/core/ui/ViewTemplate/unfold": {
"title": "$:/core/ui/ViewTemplate/unfold",
"tags": "$:/tags/ViewTemplate",
"text": "<$reveal tag=\"div\" type=\"nomatch\" state=\"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar\" text=\"hide\">\n<$reveal tag=\"div\" type=\"nomatch\" state=<<folded-state>> text=\"hide\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=\"tc-fold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-up}}\n</$button>\n</$reveal>\n<$reveal tag=\"div\" type=\"nomatch\" state=<<folded-state>> text=\"show\" default=\"show\" retain=\"yes\" animate=\"yes\">\n<$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=\"tc-unfold-banner\">\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n{{$:/core/images/chevron-down}}\n</$button>\n</$reveal>\n</$reveal>\n"
},
"$:/core/ui/ViewTemplate": {
"title": "$:/core/ui/ViewTemplate",
"text": "\\define frame-classes()\ntc-tiddler-frame tc-tiddler-view-frame $(missingTiddlerClass)$ $(shadowTiddlerClass)$ $(systemTiddlerClass)$ $(tiddlerTagClasses)$\n\\end\n\\define folded-state()\n$:/state/folded/$(currentTiddler)$\n\\end\n<$set name=\"storyTiddler\" value=<<currentTiddler>>><$set name=\"tiddlerInfoState\" value=<<qualify \"$:/state/popup/tiddler-info\">>><$tiddler tiddler=<<currentTiddler>>><div class=<<frame-classes>>><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewTemplate]!has[draft.of]]\" variable=\"listItem\"><$transclude tiddler=<<listItem>>/></$list>\n</div>\n</$tiddler></$set></$set>\n"
},
"$:/core/ui/Buttons/clone": {
"title": "$:/core/ui/Buttons/clone",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/clone-button}} {{$:/language/Buttons/Clone/Caption}}",
"description": "{{$:/language/Buttons/Clone/Hint}}",
"text": "<$button message=\"tm-new-tiddler\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/Clone/Hint}} aria-label={{$:/language/Buttons/Clone/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/clone-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Clone/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/close-others": {
"title": "$:/core/ui/Buttons/close-others",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/close-others-button}} {{$:/language/Buttons/CloseOthers/Caption}}",
"description": "{{$:/language/Buttons/CloseOthers/Hint}}",
"text": "<$button message=\"tm-close-other-tiddlers\" param=<<currentTiddler>> tooltip={{$:/language/Buttons/CloseOthers/Hint}} aria-label={{$:/language/Buttons/CloseOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/close-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/CloseOthers/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/close": {
"title": "$:/core/ui/Buttons/close",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/close-button}} {{$:/language/Buttons/Close/Caption}}",
"description": "{{$:/language/Buttons/Close/Hint}}",
"text": "<$button message=\"tm-close-tiddler\" tooltip={{$:/language/Buttons/Close/Hint}} aria-label={{$:/language/Buttons/Close/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/close-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Close/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/edit": {
"title": "$:/core/ui/Buttons/edit",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/edit-button}} {{$:/language/Buttons/Edit/Caption}}",
"description": "{{$:/language/Buttons/Edit/Hint}}",
"text": "<$button message=\"tm-edit-tiddler\" tooltip={{$:/language/Buttons/Edit/Hint}} aria-label={{$:/language/Buttons/Edit/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/edit-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Edit/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/export-tiddler": {
"title": "$:/core/ui/Buttons/export-tiddler",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/export-button}} {{$:/language/Buttons/ExportTiddler/Caption}}",
"description": "{{$:/language/Buttons/ExportTiddler/Hint}}",
"text": "\\define makeExportFilter()\n[[$(currentTiddler)$]]\n\\end\n<$macrocall $name=\"exportButton\" exportFilter=<<makeExportFilter>> lingoBase=\"$:/language/Buttons/ExportTiddler/\" baseFilename=<<currentTiddler>>/>"
},
"$:/core/ui/Buttons/fold-bar": {
"title": "$:/core/ui/Buttons/fold-bar",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/language/Buttons/Fold/FoldBar/Caption}}",
"description": "{{$:/language/Buttons/Fold/FoldBar/Hint}}",
"text": "<!-- This dummy toolbar button is here to allow visibility of the fold-bar to be controlled as if it were a toolbar button -->"
},
"$:/core/ui/Buttons/fold-others": {
"title": "$:/core/ui/Buttons/fold-others",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/fold-others-button}} {{$:/language/Buttons/FoldOthers/Caption}}",
"description": "{{$:/language/Buttons/FoldOthers/Hint}}",
"text": "<$button tooltip={{$:/language/Buttons/FoldOthers/Hint}} aria-label={{$:/language/Buttons/FoldOthers/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-other-tiddlers\" $param=<<currentTiddler>> foldedStatePrefix=\"$:/state/folded/\"/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-others-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/FoldOthers/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/fold": {
"title": "$:/core/ui/Buttons/fold",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/fold-button}} {{$:/language/Buttons/Fold/Caption}}",
"description": "{{$:/language/Buttons/Fold/Hint}}",
"text": "<$reveal type=\"nomatch\" state=<<folded-state>> text=\"hide\" default=\"show\"><$button tooltip={{$:/language/Buttons/Fold/Hint}} aria-label={{$:/language/Buttons/Fold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/fold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Fold/Caption}}/>\n</span>\n</$list>\n</$button></$reveal><$reveal type=\"match\" state=<<folded-state>> text=\"hide\" default=\"show\"><$button tooltip={{$:/language/Buttons/Unfold/Hint}} aria-label={{$:/language/Buttons/Unfold/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-fold-tiddler\" $param=<<currentTiddler>> foldedState=<<folded-state>>/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\" variable=\"listItem\">\n{{$:/core/images/unfold-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\">\n<$text text={{$:/language/Buttons/Unfold/Caption}}/>\n</span>\n</$list>\n</$button></$reveal>"
},
"$:/core/ui/Buttons/info": {
"title": "$:/core/ui/Buttons/info",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/info-button}} {{$:/language/Buttons/Info/Caption}}",
"description": "{{$:/language/Buttons/Info/Hint}}",
"text": "<$button popup=<<tiddlerInfoState>> tooltip={{$:/language/Buttons/Info/Hint}} aria-label={{$:/language/Buttons/Info/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/info-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Info/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/more-tiddler-actions": {
"title": "$:/core/ui/Buttons/more-tiddler-actions",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/down-arrow}} {{$:/language/Buttons/More/Caption}}",
"description": "{{$:/language/Buttons/More/Hint}}",
"text": "\\define config-title()\n$:/config/ViewToolbarButtons/Visibility/$(listItem)$\n\\end\n<$button popup=<<qualify \"$:/state/popup/more\">> tooltip={{$:/language/Buttons/More/Hint}} aria-label={{$:/language/Buttons/More/Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/down-arrow}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/More/Caption}}/></span>\n</$list>\n</$button><$reveal state=<<qualify \"$:/state/popup/more\">> type=\"popup\" position=\"below\" animate=\"yes\">\n\n<div class=\"tc-drop-down\">\n\n<$set name=\"tv-config-toolbar-icons\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-text\" value=\"yes\">\n\n<$set name=\"tv-config-toolbar-class\" value=\"tc-btn-invisible\">\n\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/ViewToolbar]!has[draft.of]] -[[$:/core/ui/Buttons/more-tiddler-actions]]\" variable=\"listItem\">\n\n<$reveal type=\"match\" state=<<config-title>> text=\"hide\">\n\n<$transclude tiddler=<<listItem>> mode=\"inline\"/>\n\n</$reveal>\n\n</$list>\n\n</$set>\n\n</$set>\n\n</$set>\n\n</div>\n\n</$reveal>"
},
"$:/core/ui/Buttons/new-here": {
"title": "$:/core/ui/Buttons/new-here",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/new-here-button}} {{$:/language/Buttons/NewHere/Caption}}",
"description": "{{$:/language/Buttons/NewHere/Hint}}",
"text": "\\define newHereButtonTags()\n[[$(currentTiddler)$]]\n\\end\n\\define newHereButton()\n<$button tooltip={{$:/language/Buttons/NewHere/Hint}} aria-label={{$:/language/Buttons/NewHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-new-tiddler\" tags=<<newHereButtonTags>>/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/new-here-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewHere/Caption}}/></span>\n</$list>\n</$button>\n\\end\n<<newHereButton>>"
},
"$:/core/ui/Buttons/new-journal-here": {
"title": "$:/core/ui/Buttons/new-journal-here",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/new-journal-button}} {{$:/language/Buttons/NewJournalHere/Caption}}",
"description": "{{$:/language/Buttons/NewJournalHere/Hint}}",
"text": "\\define journalButtonTags()\n[[$(currentTiddlerTag)$]] $(journalTags)$\n\\end\n\\define journalButton()\n<$button tooltip={{$:/language/Buttons/NewJournalHere/Hint}} aria-label={{$:/language/Buttons/NewJournalHere/Caption}} class=<<tv-config-toolbar-class>>>\n<$action-sendmessage $message=\"tm-new-tiddler\" title=<<now \"$(journalTitleTemplate)$\">> tags=<<journalButtonTags>>/>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/new-journal-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/NewJournalHere/Caption}}/></span>\n</$list>\n</$button>\n\\end\n<$set name=\"journalTitleTemplate\" value={{$:/config/NewJournal/Title}}>\n<$set name=\"journalTags\" value={{$:/config/NewJournal/Tags}}>\n<$set name=\"currentTiddlerTag\" value=<<currentTiddler>>>\n<<journalButton>>\n</$set></$set></$set>"
},
"$:/core/ui/Buttons/open-window": {
"title": "$:/core/ui/Buttons/open-window",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/open-window}} {{$:/language/Buttons/OpenWindow/Caption}}",
"description": "{{$:/language/Buttons/OpenWindow/Hint}}",
"text": "<$button message=\"tm-open-window\" tooltip={{$:/language/Buttons/OpenWindow/Hint}} aria-label={{$:/language/Buttons/OpenWindow/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/open-window}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/OpenWindow/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/permalink": {
"title": "$:/core/ui/Buttons/permalink",
"tags": "$:/tags/ViewToolbar",
"caption": "{{$:/core/images/permalink-button}} {{$:/language/Buttons/Permalink/Caption}}",
"description": "{{$:/language/Buttons/Permalink/Hint}}",
"text": "<$button message=\"tm-permalink\" tooltip={{$:/language/Buttons/Permalink/Hint}} aria-label={{$:/language/Buttons/Permalink/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/permalink-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Permalink/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/core/ui/Buttons/permaview": {
"title": "$:/core/ui/Buttons/permaview",
"tags": "$:/tags/ViewToolbar $:/tags/PageControls",
"caption": "{{$:/core/images/permaview-button}} {{$:/language/Buttons/Permaview/Caption}}",
"description": "{{$:/language/Buttons/Permaview/Hint}}",
"text": "<$button message=\"tm-permaview\" tooltip={{$:/language/Buttons/Permaview/Hint}} aria-label={{$:/language/Buttons/Permaview/Caption}} class=<<tv-config-toolbar-class>>>\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/permaview-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$:/language/Buttons/Permaview/Caption}}/></span>\n</$list>\n</$button>"
},
"$:/DefaultTiddlers": {
"title": "$:/DefaultTiddlers",
"text": "GettingStarted\n"
},
"$:/temp/advancedsearch": {
"title": "$:/temp/advancedsearch",
"text": ""
},
"$:/snippets/allfields": {
"title": "$:/snippets/allfields",
"text": "\\define renderfield(title)\n<tr class=\"tc-view-field\"><td class=\"tc-view-field-name\">''$title$'':</td><td class=\"tc-view-field-value\">//{{$:/language/Docs/Fields/$title$}}//</td></tr>\n\\end\n<table class=\"tc-view-field-table\"><tbody><$list filter=\"[fields[]sort[title]]\" variable=\"listItem\"><$macrocall $name=\"renderfield\" title=<<listItem>>/></$list>\n</tbody></table>\n"
},
"$:/config/AnimationDuration": {
"title": "$:/config/AnimationDuration",
"text": "400"
},
"$:/config/AutoSave": {
"title": "$:/config/AutoSave",
"text": "yes"
},
"$:/config/BitmapEditor/Colour": {
"title": "$:/config/BitmapEditor/Colour",
"text": "#ff0"
},
"$:/config/BitmapEditor/LineWidth": {
"title": "$:/config/BitmapEditor/LineWidth",
"text": "3"
},
"$:/config/DefaultSidebarTab": {
"title": "$:/config/DefaultSidebarTab",
"text": "$:/core/ui/SideBar/Open"
},
"$:/config/Drafts/TypingTimeout": {
"title": "$:/config/Drafts/TypingTimeout",
"text": "400"
},
"$:/config/EditTemplateFields/Visibility/title": {
"title": "$:/config/EditTemplateFields/Visibility/title",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/tags": {
"title": "$:/config/EditTemplateFields/Visibility/tags",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/text": {
"title": "$:/config/EditTemplateFields/Visibility/text",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/creator": {
"title": "$:/config/EditTemplateFields/Visibility/creator",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/created": {
"title": "$:/config/EditTemplateFields/Visibility/created",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/modified": {
"title": "$:/config/EditTemplateFields/Visibility/modified",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/modifier": {
"title": "$:/config/EditTemplateFields/Visibility/modifier",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/type": {
"title": "$:/config/EditTemplateFields/Visibility/type",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/draft.title": {
"title": "$:/config/EditTemplateFields/Visibility/draft.title",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/draft.of": {
"title": "$:/config/EditTemplateFields/Visibility/draft.of",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/revision": {
"title": "$:/config/EditTemplateFields/Visibility/revision",
"text": "hide"
},
"$:/config/EditTemplateFields/Visibility/bag": {
"title": "$:/config/EditTemplateFields/Visibility/bag",
"text": "hide"
},
"$:/config/EditorTypeMappings/image/gif": {
"title": "$:/config/EditorTypeMappings/image/gif",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/jpeg": {
"title": "$:/config/EditorTypeMappings/image/jpeg",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/jpg": {
"title": "$:/config/EditorTypeMappings/image/jpg",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/png": {
"title": "$:/config/EditorTypeMappings/image/png",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/image/x-icon": {
"title": "$:/config/EditorTypeMappings/image/x-icon",
"text": "bitmap"
},
"$:/config/EditorTypeMappings/text/vnd.tiddlywiki": {
"title": "$:/config/EditorTypeMappings/text/vnd.tiddlywiki",
"text": "text"
},
"$:/config/Navigation/UpdateAddressBar": {
"title": "$:/config/Navigation/UpdateAddressBar",
"text": "no"
},
"$:/config/Navigation/UpdateHistory": {
"title": "$:/config/Navigation/UpdateHistory",
"text": "no"
},
"$:/config/OfficialPluginLibrary": {
"title": "$:/config/OfficialPluginLibrary",
"tags": "$:/tags/PluginLibrary",
"url": "http://tiddlywiki.com/library/v5.1.11/index.html",
"caption": "{{$:/language/OfficialPluginLibrary}}",
"text": "{{$:/language/OfficialPluginLibrary/Hint}}\n"
},
"$:/config/Navigation/openLinkFromInsideRiver": {
"title": "$:/config/Navigation/openLinkFromInsideRiver",
"text": "below"
},
"$:/config/Navigation/openLinkFromOutsideRiver": {
"title": "$:/config/Navigation/openLinkFromOutsideRiver",
"text": "top"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/advanced-search",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/close-all",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/encryption",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/export-page",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/fold-all",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/full-screen",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/home",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/refresh",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/import",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/language",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/tag-manager",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/more-page-actions",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/new-journal",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/palette",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/permaview",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/storyview",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/theme",
"text": "hide"
},
"$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all": {
"title": "$:/config/PageControlButtons/Visibility/$:/core/ui/Buttons/unfold-all",
"text": "hide"
},
"$:/config/Performance/Instrumentation": {
"title": "$:/config/Performance/Instrumentation",
"text": "no"
},
"$:/config/SaveWikiButton/Template": {
"title": "$:/config/SaveWikiButton/Template",
"text": "$:/core/save/all"
},
"$:/config/SaverFilter": {
"title": "$:/config/SaverFilter",
"text": "[all[]] -[[$:/HistoryList]] -[[$:/StoryList]] -[[$:/Import]] -[[$:/isEncrypted]] -[[$:/UploadName]] -[prefix[$:/state/]] -[prefix[$:/temp/]]"
},
"$:/config/Search/AutoFocus": {
"title": "$:/config/Search/AutoFocus",
"text": "true"
},
"$:/config/SearchResults/Default": {
"title": "$:/config/SearchResults/Default",
"text": "$:/core/ui/DefaultSearchResultList"
},
"$:/config/SyncFilter": {
"title": "$:/config/SyncFilter",
"text": "[is[tiddler]] -[[$:/HistoryList]] -[[$:/Import]] -[[$:/isEncrypted]] -[prefix[$:/status/]] -[prefix[$:/state/]] -[prefix[$:/temp/]]"
},
"$:/config/TiddlerInfo/Default": {
"title": "$:/config/TiddlerInfo/Default",
"text": "$:/core/ui/TiddlerInfo/Fields"
},
"$:/config/Tiddlers/TitleLinks": {
"title": "$:/config/Tiddlers/TitleLinks",
"text": "no"
},
"$:/config/Toolbar/ButtonClass": {
"title": "$:/config/Toolbar/ButtonClass",
"text": "tc-btn-invisible"
},
"$:/config/Toolbar/Icons": {
"title": "$:/config/Toolbar/Icons",
"text": "yes"
},
"$:/config/Toolbar/Text": {
"title": "$:/config/Toolbar/Text",
"text": "no"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/clone",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/close-others",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/export-tiddler",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/info",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/more-tiddler-actions",
"text": "show"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-here",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/new-journal-here",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/open-window",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permalink",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/permaview",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/delete",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-bar",
"text": "hide"
},
"$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others": {
"title": "$:/config/ViewToolbarButtons/Visibility/$:/core/ui/Buttons/fold-others",
"text": "hide"
},
"$:/config/shortcuts/cancel-edit-tiddler": {
"title": "$:/config/shortcuts/cancel-edit-tiddler",
"text": "escape"
},
"$:/config/shortcuts/save-tiddler": {
"title": "$:/config/shortcuts/save-tiddler",
"text": "ctrl+enter"
},
"$:/config/WikiParserRules/Inline/wikilink": {
"title": "$:/config/WikiParserRules/Inline/wikilink",
"text": "enable"
},
"$:/snippets/currpalettepreview": {
"title": "$:/snippets/currpalettepreview",
"text": "\\define swatchStyle()\nbackground-color: $(swatchColour)$;\n\\end\n\\define swatch(colour)\n<$set name=\"swatchColour\" value={{##$colour$}}>\n<div class=\"tc-swatch\" style=<<swatchStyle>>/>\n</$set>\n\\end\n<div class=\"tc-swatches-horiz\">\n<<swatch foreground>>\n<<swatch background>>\n<<swatch muted-foreground>>\n<<swatch primary>>\n<<swatch page-background>>\n<<swatch tab-background>>\n<<swatch tiddler-info-background>>\n</div>\n"
},
"$:/snippets/download-wiki-button": {
"title": "$:/snippets/download-wiki-button",
"text": "\\define lingo-base() $:/language/ControlPanel/Tools/Download/\n<$button class=\"tc-btn-big-green\">\n<$action-sendmessage $message=\"tm-download-file\" $param=\"$:/core/save/all\" filename=\"index.html\"/>\n<<lingo Full/Caption>> {{$:/core/images/save-button}}\n</$button>"
},
"$:/language": {
"title": "$:/language",
"text": "$:/languages/en-GB"
},
"$:/snippets/languageswitcher": {
"title": "$:/snippets/languageswitcher",
"text": "{{$:/language/ControlPanel/Basics/Language/Prompt}} <$select tiddler=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[description]]\">\n<option value=<<currentTiddler>>><$view field=\"description\"><$view field=\"name\"><$view field=\"title\"/></$view></$view></option>\n</$list>\n</$select>"
},
"$:/core/macros/CSS": {
"title": "$:/core/macros/CSS",
"tags": "$:/tags/Macro",
"text": "\\define colour(name)\n<$transclude tiddler={{$:/palette}} index=\"$name$\"><$transclude tiddler=\"$:/palettes/Vanilla\" index=\"$name$\"/></$transclude>\n\\end\n\n\\define color(name)\n<<colour $name$>>\n\\end\n\n\\define box-shadow(shadow)\n``\n -webkit-box-shadow: $shadow$;\n -moz-box-shadow: $shadow$;\n box-shadow: $shadow$;\n``\n\\end\n\n\\define filter(filter)\n``\n -webkit-filter: $filter$;\n -moz-filter: $filter$;\n filter: $filter$;\n``\n\\end\n\n\\define transition(transition)\n``\n -webkit-transition: $transition$;\n -moz-transition: $transition$;\n transition: $transition$;\n``\n\\end\n\n\\define transform-origin(origin)\n``\n -webkit-transform-origin: $origin$;\n -moz-transform-origin: $origin$;\n transform-origin: $origin$;\n``\n\\end\n\n\\define background-linear-gradient(gradient)\n``\nbackground-image: linear-gradient($gradient$);\nbackground-image: -o-linear-gradient($gradient$);\nbackground-image: -moz-linear-gradient($gradient$);\nbackground-image: -webkit-linear-gradient($gradient$);\nbackground-image: -ms-linear-gradient($gradient$);\n``\n\\end\n\n\\define datauri(title)\n<$macrocall $name=\"makedatauri\" type={{$title$!!type}} text={{$title$}}/>\n\\end\n\n\\define if-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"match\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n\n\\define if-no-sidebar(text)\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">$text$</$reveal>\n\\end\n"
},
"$:/core/macros/export": {
"title": "$:/core/macros/export",
"tags": "$:/tags/Macro",
"text": "\\define exportButtonFilename(baseFilename)\n$baseFilename$$(extension)$\n\\end\n\n\\define exportButton(exportFilter:\"[!is[system]sort[title]]\",lingoBase,baseFilename:\"tiddlers\")\n<span class=\"tc-popup-keep\">\n<$button popup=<<qualify \"$:/state/popup/export\">> tooltip={{$lingoBase$Hint}} aria-label={{$lingoBase$Caption}} class=<<tv-config-toolbar-class>> selectedClass=\"tc-selected\">\n<$list filter=\"[<tv-config-toolbar-icons>prefix[yes]]\">\n{{$:/core/images/export-button}}\n</$list>\n<$list filter=\"[<tv-config-toolbar-text>prefix[yes]]\">\n<span class=\"tc-btn-text\"><$text text={{$lingoBase$Caption}}/></span>\n</$list>\n</$button>\n</span>\n<$reveal state=<<qualify \"$:/state/popup/export\">> type=\"popup\" position=\"below\" animate=\"yes\">\n<div class=\"tc-drop-down\">\n<$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Exporter]]\">\n<$set name=\"extension\" value={{!!extension}}>\n<$button class=\"tc-btn-invisible\">\n<$action-sendmessage $message=\"tm-download-file\" $param=<<currentTiddler>> exportFilter=\"\"\"$exportFilter$\"\"\" filename=<<exportButtonFilename \"\"\"$baseFilename$\"\"\">>/>\n<$action-deletetiddler $tiddler=<<qualify \"$:/state/popup/export\">>/>\n<$transclude field=\"description\"/>\n</$button>\n</$set>\n</$list>\n</div>\n</$reveal>\n\\end\n"
},
"$:/core/macros/lingo": {
"title": "$:/core/macros/lingo",
"tags": "$:/tags/Macro",
"text": "\\define lingo-base()\n$:/language/\n\\end\n\n\\define lingo(title)\n{{$(lingo-base)$$title$}}\n\\end\n"
},
"$:/core/macros/list": {
"title": "$:/core/macros/list",
"tags": "$:/tags/Macro",
"text": "\\define list-links(filter,type:\"ul\",subtype:\"li\",class:\"\")\n<$type$ class=\"$class$\">\n<$list filter=\"$filter$\">\n<$subtype$>\n<$link to={{!!title}}>\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$link>\n</$subtype$>\n</$list>\n</$type$>\n\\end\n"
},
"$:/core/macros/tabs": {
"title": "$:/core/macros/tabs",
"tags": "$:/tags/Macro",
"text": "\\define tabs(tabsList,default,state:\"$:/state/tab\",class,template)\n<div class=\"tc-tab-set $class$\">\n<div class=\"tc-tab-buttons $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\"><$set name=\"save-currentTiddler\" value=<<currentTiddler>>><$tiddler tiddler=<<currentTab>>><$button set=<<qualify \"$state$\">> setTo=<<currentTab>> default=\"$default$\" selectedClass=\"tc-tab-selected\" tooltip={{!!tooltip}}>\n<$tiddler tiddler=<<save-currentTiddler>>>\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude tiddler=<<currentTab>> field=\"caption\">\n<$macrocall $name=\"currentTab\" $type=\"text/plain\" $output=\"text/plain\"/>\n</$transclude>\n</$set></$tiddler></$button></$tiddler></$set></$list>\n</div>\n<div class=\"tc-tab-divider $class$\"/>\n<div class=\"tc-tab-content $class$\">\n<$list filter=\"$tabsList$\" variable=\"currentTab\">\n\n<$reveal type=\"match\" state=<<qualify \"$state$\">> text=<<currentTab>> default=\"$default$\">\n\n<$transclude tiddler=\"$template$\" mode=\"block\">\n\n<$transclude tiddler=<<currentTab>> mode=\"block\"/>\n\n</$transclude>\n\n</$reveal>\n\n</$list>\n</div>\n</div>\n\\end\n"
},
"$:/core/macros/tag": {
"title": "$:/core/macros/tag",
"tags": "$:/tags/Macro",
"text": "\\define tag(tag)\n{{$tag$||$:/core/ui/TagTemplate}}\n\\end\n"
},
"$:/core/macros/thumbnails": {
"title": "$:/core/macros/thumbnails",
"tags": "$:/tags/Macro",
"text": "\\define thumbnail(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<$link to=\"\"\"$link$\"\"\"><div class=\"tc-thumbnail-wrapper\">\n<div class=\"tc-thumbnail-image\" style=\"width:$width$px;height:$height$px;\"><$reveal type=\"nomatch\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" style=\"width:$width$px;height:$height$px;\">\n[img[$image$]]\n</$reveal><$reveal type=\"match\" text=\"\" default=\"\"\"$image$\"\"\" tag=\"div\" class=\"tc-thumbnail-background\" style=\"width:$width$px;height:$height$px;background-color:$background-color$;\"></$reveal></div><div class=\"tc-thumbnail-icon\" style=\"fill:$color$;color:$color$;\">\n$icon$\n</div><div class=\"tc-thumbnail-caption\">\n$caption$\n</div>\n</div></$link>\n\\end\n\n\\define thumbnail-right(link,icon,color,background-color,image,caption,width:\"280\",height:\"157\")\n<div class=\"tc-thumbnail-right-wrapper\"><<thumbnail \"\"\"$link$\"\"\" \"\"\"$icon$\"\"\" \"\"\"$color$\"\"\" \"\"\"$background-color$\"\"\" \"\"\"$image$\"\"\" \"\"\"$caption$\"\"\" \"\"\"$width$\"\"\" \"\"\"$height$\"\"\">></div>\n\\end\n\n\\define list-thumbnails(filter,width:\"280\",height:\"157\")\n<$list filter=\"\"\"$filter$\"\"\"><$macrocall $name=\"thumbnail\" link={{!!link}} icon={{!!icon}} color={{!!color}} background-color={{!!background-color}} image={{!!image}} caption={{!!caption}} width=\"\"\"$width$\"\"\" height=\"\"\"$height$\"\"\"/></$list>\n\\end\n"
},
"$:/core/macros/timeline": {
"created": "20141212105914482",
"modified": "20141212110330815",
"tags": "$:/tags/Macro",
"title": "$:/core/macros/timeline",
"type": "text/vnd.tiddlywiki",
"text": "\\define timeline-title()\n<!-- Override this macro with a global macro \n of the same name if you need to change \n how titles are displayed on the timeline \n -->\n<$view field=\"title\"/>\n\\end\n\\define timeline(limit:\"100\",format:\"DDth MMM YYYY\",subfilter:\"\",dateField:\"modified\")\n<div class=\"tc-timeline\">\n<$list filter=\"[!is[system]$subfilter$has[$dateField$]!sort[$dateField$]limit[$limit$]eachday[$dateField$]]\">\n<div class=\"tc-menu-list-item\">\n<$view field=\"$dateField$\" format=\"date\" template=\"$format$\"/>\n<$list filter=\"[sameday:$dateField${!!$dateField$}!is[system]$subfilter$!sort[$dateField$]]\">\n<div class=\"tc-menu-list-subitem\">\n<$link to={{!!title}}>\n<<timeline-title>>\n</$link>\n</div>\n</$list>\n</div>\n</$list>\n</div>\n\\end\n"
},
"$:/core/macros/toc": {
"title": "$:/core/macros/toc",
"tags": "$:/tags/Macro",
"text": "\\define toc-caption()\n<$set name=\"tv-wikilinks\" value=\"no\">\n<$transclude field=\"caption\">\n<$view field=\"title\"/>\n</$transclude>\n</$set>\n\\end\n\n\\define toc-body(rootTag,tag,sort:\"\",itemClassFilter)\n<ol class=\"tc-toc\">\n<$list filter=\"\"\"[all[shadows+tiddlers]tag[$tag$]!has[draft.of]$sort$]\"\"\">\n<$set name=\"toc-item-class\" filter=\"\"\"$itemClassFilter$\"\"\" value=\"toc-item-selected\" emptyValue=\"toc-item\">\n<li class=<<toc-item-class>>>\n<$list filter=\"[all[current]toc-link[no]]\" emptyMessage=\"<$link><$view field='caption'><$view field='title'/></$view></$link>\">\n<<toc-caption>>\n</$list>\n<$list filter=\"\"\"[all[current]] -[[$rootTag$]]\"\"\">\n<$macrocall $name=\"toc-body\" rootTag=\"\"\"$rootTag$\"\"\" tag=<<currentTiddler>> sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\"/>\n</$list>\n</li>\n</$set>\n</$list>\n</ol>\n\\end\n\n\\define toc(tag,sort:\"\",itemClassFilter)\n<<toc-body rootTag:\"\"\"$tag$\"\"\" tag:\"\"\"$tag$\"\"\" sort:\"\"\"$sort$\"\"\" itemClassFilter:\"\"\"itemClassFilter\"\"\">>\n\\end\n\n\\define toc-linked-expandable-body(tag,sort:\"\",itemClassFilter)\n<$set name=\"toc-state\" value=<<qualify \"$:/state/toc/$tag$-$(currentTiddler)$\">>>\n<$set name=\"toc-item-class\" filter=\"\"\"$itemClassFilter$\"\"\" value=\"toc-item-selected\" emptyValue=\"toc-item\">\n<li class=<<toc-item-class>>>\n<$link>\n<$reveal type=\"nomatch\" state=<<toc-state>> text=\"open\">\n<$button set=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n<$button set=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n<<toc-caption>>\n</$link>\n<$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n<$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\"/>\n</$reveal>\n</li>\n</$set>\n</$set>\n\\end\n\n\\define toc-unlinked-expandable-body(tag,sort:\"\",itemClassFilter)\n<$set name=\"toc-state\" value=<<qualify \"$:/state/toc/$tag$-$(currentTiddler)$\">>>\n<$set name=\"toc-item-class\" filter=\"\"\"$itemClassFilter$\"\"\" value=\"toc-item-selected\" emptyValue=\"toc-item\">\n<li class=<<toc-item-class>>>\n<$reveal type=\"nomatch\" state=<<toc-state>> text=\"open\">\n<$button set=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible\">\n{{$:/core/images/right-arrow}}\n<<toc-caption>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n<$button set=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n<<toc-caption>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n<$macrocall $name=\"toc-expandable\" tag=<<currentTiddler>> sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\"/>\n</$reveal>\n</li>\n</$set>\n</$set>\n\\end\n\n\\define toc-expandable(tag,sort:\"\",itemClassFilter)\n<ol class=\"tc-toc toc-expandable\">\n<$list filter=\"[all[shadows+tiddlers]tag[$tag$]!has[draft.of]$sort$]\">\n<$list filter=\"[all[current]toc-link[no]]\" emptyMessage=\"<<toc-linked-expandable-body tag:'$tag$' sort:'$sort$' itemClassFilter:'$itemClassFilter$'>>\">\n<<toc-unlinked-expandable-body tag:\"\"\"$tag$\"\"\" sort:\"\"\"$sort$\"\"\" itemClassFilter:\"\"\"itemClassFilter\"\"\">>\n</$list>\n</$list>\n</ol>\n\\end\n\n\\define toc-linked-selective-expandable-body(tag,sort:\"\",itemClassFilter)\n<$set name=\"toc-state\" value=<<qualify \"$:/state/toc/$tag$-$(currentTiddler)$\">>>\n<$set name=\"toc-item-class\" filter=\"\"\"$itemClassFilter$\"\"\" value=\"toc-item-selected\" emptyValue=\"toc-item\">\n<li class=<<toc-item-class>>>\n<$link>\n<$list filter=\"[all[current]tagging[]limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button>\">\n<$reveal type=\"nomatch\" state=<<toc-state>> text=\"open\">\n<$button set=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible\">\n{{$:/core/images/right-arrow}}\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n<$button set=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n</$button>\n</$reveal>\n</$list>\n<<toc-caption>>\n</$link>\n<$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n<$macrocall $name=\"toc-selective-expandable\" tag=<<currentTiddler>> sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\"/>\n</$reveal>\n</li>\n</$set>\n</$set>\n\\end\n\n\\define toc-unlinked-selective-expandable-body(tag,sort:\"\",itemClassFilter)\n<$set name=\"toc-state\" value=<<qualify \"$:/state/toc/$tag$-$(currentTiddler)$\">>>\n<$set name=\"toc-item-class\" filter=\"\"\"$itemClassFilter$\"\"\" value=\"toc-item-selected\" emptyValue=\"toc-item\">\n<li class=<<toc-item-class>>>\n<$list filter=\"[all[current]tagging[]limit[1]]\" variable=\"ignore\" emptyMessage=\"<$button class='tc-btn-invisible'>{{$:/core/images/blank}}</$button> <$view field='caption'><$view field='title'/></$view>\">\n<$reveal type=\"nomatch\" state=<<toc-state>> text=\"open\">\n<$button set=<<toc-state>> setTo=\"open\" class=\"tc-btn-invisible\">\n{{$:/core/images/right-arrow}}\n<<toc-caption>>\n</$button>\n</$reveal>\n<$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n<$button set=<<toc-state>> setTo=\"close\" class=\"tc-btn-invisible\">\n{{$:/core/images/down-arrow}}\n<<toc-caption>>\n</$button>\n</$reveal>\n</$list>\n<$reveal type=\"match\" state=<<toc-state>> text=\"open\">\n<$macrocall $name=\"\"\"toc-selective-expandable\"\"\" tag=<<currentTiddler>> sort=\"\"\"$sort$\"\"\" itemClassFilter=\"\"\"$itemClassFilter$\"\"\"/>\n</$reveal>\n</li>\n</$set>\n</$set>\n\\end\n\n\\define toc-selective-expandable(tag,sort:\"\",itemClassFilter)\n<ol class=\"tc-toc toc-selective-expandable\">\n<$list filter=\"[all[shadows+tiddlers]tag[$tag$]!has[draft.of]$sort$]\">\n<$list filter=\"[all[current]toc-link[no]]\" variable=\"ignore\" emptyMessage=\"<<toc-linked-selective-expandable-body tag:'$tag$' sort:'$sort$' itemClassFilter:'$itemClassFilter$'>>\">\n<<toc-unlinked-selective-expandable-body tag:\"\"\"$tag$\"\"\" sort:\"\"\"$sort$\"\"\" itemClassFilter:\"\"\"$itemClassFilter$\"\"\">>\n</$list>\n</$list>\n</ol>\n\\end\n\n\\define toc-tabbed-selected-item-filter(selectedTiddler)\n[all[current]field:title{$selectedTiddler$}]\n\\end\n\n\\define toc-tabbed-external-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$tiddler tiddler={{$selectedTiddler$}}>\n<div class=\"tc-tabbed-table-of-contents\">\n<$linkcatcher to=\"$selectedTiddler$\">\n<div class=\"tc-table-of-contents\">\n<$macrocall $name=\"toc-selective-expandable\" tag=\"\"\"$tag$\"\"\" sort=\"\"\"$sort$\"\"\" itemClassFilter=<<toc-tabbed-selected-item-filter selectedTiddler:\"\"\"$selectedTiddler$\"\"\">>/>\n</div>\n</$linkcatcher>\n<div class=\"tc-tabbed-table-of-contents-content\">\n<$reveal state=\"\"\"$selectedTiddler$\"\"\" type=\"nomatch\" text=\"\">\n<$transclude mode=\"block\" tiddler=\"$template$\">\n<h1><<toc-caption>></h1>\n<$transclude mode=\"block\">$missingText$</$transclude>\n</$transclude>\n</$reveal>\n<$reveal state=\"\"\"$selectedTiddler$\"\"\" type=\"match\" text=\"\">\n$unselectedText$\n</$reveal>\n</div>\n</div>\n</$tiddler>\n\\end\n\n\\define toc-tabbed-internal-nav(tag,sort:\"\",selectedTiddler:\"$:/temp/toc/selectedTiddler\",unselectedText,missingText,template:\"\")\n<$linkcatcher to=\"\"\"$selectedTiddler$\"\"\">\n<$macrocall $name=\"toc-tabbed-external-nav\" tag=\"\"\"$tag$\"\"\" sort=\"\"\"$sort$\"\"\" selectedTiddler=\"\"\"$selectedTiddler$\"\"\" unselectedText=\"\"\"$unselectedText$\"\"\" missingText=\"\"\"$missingText$\"\"\" template=\"\"\"$template$\"\"\"/>\n</$linkcatcher>\n\\end\n\n"
},
"$:/snippets/minilanguageswitcher": {
"title": "$:/snippets/minilanguageswitcher",
"text": "<$select tiddler=\"$:/language\">\n<$list filter=\"[[$:/languages/en-GB]] [plugin-type[language]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"description\"><$view field=\"name\"><$view field=\"title\"/></$view></$view></option>\n</$list>\n</$select>"
},
"$:/snippets/minithemeswitcher": {
"title": "$:/snippets/minithemeswitcher",
"text": "\\define lingo-base() $:/language/ControlPanel/Theme/\n<<lingo Prompt>> <$select tiddler=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\">\n<option value=<<currentTiddler>>><$view field=\"name\"><$view field=\"title\"/></$view></option>\n</$list>\n</$select>"
},
"$:/snippets/modules": {
"title": "$:/snippets/modules",
"text": "\\define describeModuleType(type)\n{{$:/language/Docs/ModuleTypes/$type$}}\n\\end\n<$list filter=\"[moduletypes[]]\">\n\n!! <$macrocall $name=\"currentTiddler\" $type=\"text/plain\" $output=\"text/plain\"/>\n\n<$macrocall $name=\"describeModuleType\" type=<<currentTiddler>>/>\n\n<ul><$list filter=\"[all[current]modules[]]\"><li><$link><<currentTiddler>></$link>\n</li>\n</$list>\n</ul>\n</$list>\n"
},
"$:/palette": {
"title": "$:/palette",
"text": "$:/palettes/Vanilla"
},
"$:/snippets/paletteeditor": {
"title": "$:/snippets/paletteeditor",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/Editor/\n\\define describePaletteColour(colour)\n<$transclude tiddler=\"$:/language/Docs/PaletteColours/$colour$\"><$text text=\"$colour$\"/></$transclude>\n\\end\n<$set name=\"currentTiddler\" value={{$:/palette}}>\n\n<<lingo Prompt>> <$link to={{$:/palette}}><$macrocall $name=\"currentTiddler\" $output=\"text/plain\"/></$link>\n\n<$list filter=\"[all[current]is[shadow]is[tiddler]]\" variable=\"listItem\">\n<<lingo Prompt/Modified>>\n<$button message=\"tm-delete-tiddler\" param={{$:/palette}}><<lingo Reset/Caption>></$button>\n</$list>\n\n<$list filter=\"[all[current]is[shadow]!is[tiddler]]\" variable=\"listItem\">\n<<lingo Clone/Prompt>>\n</$list>\n\n<$button message=\"tm-new-tiddler\" param={{$:/palette}}><<lingo Clone/Caption>></$button>\n\n<table>\n<tbody>\n<$list filter=\"[all[current]indexes[]]\" variable=\"colourName\">\n<tr>\n<td>\n''<$macrocall $name=\"describePaletteColour\" colour=<<colourName>>/>''<br/>\n<$macrocall $name=\"colourName\" $output=\"text/plain\"/>\n</td>\n<td>\n<$edit-text index=<<colourName>> tag=\"input\"/>\n<br>\n<$edit-text index=<<colourName>> type=\"color\" tag=\"input\"/>\n</td>\n</tr>\n</$list>\n</tbody>\n</table>\n</$set>\n"
},
"$:/snippets/palettepreview": {
"title": "$:/snippets/palettepreview",
"text": "<$set name=\"currentTiddler\" value={{$:/palette}}>\n<$transclude tiddler=\"$:/snippets/currpalettepreview\"/>\n</$set>\n"
},
"$:/snippets/paletteswitcher": {
"title": "$:/snippets/paletteswitcher",
"text": "\\define lingo-base() $:/language/ControlPanel/Palette/\n<div class=\"tc-prompt\">\n<<lingo Prompt>> <$view tiddler={{$:/palette}} field=\"name\"/>\n</div>\n\n<$linkcatcher to=\"$:/palette\">\n<div class=\"tc-chooser\"><$list filter=\"[all[shadows+tiddlers]tag[$:/tags/Palette]sort[description]]\"><div class=\"tc-chooser-item\"><$link to={{!!title}}><div><$reveal state=\"$:/palette\" type=\"match\" text={{!!title}}>•</$reveal><$reveal state=\"$:/palette\" type=\"nomatch\" text={{!!title}}> </$reveal> ''<$view field=\"name\" format=\"text\"/>'' - <$view field=\"description\" format=\"text\"/></div><$transclude tiddler=\"$:/snippets/currpalettepreview\"/></$link></div>\n</$list>\n</div>\n</$linkcatcher>"
},
"$:/temp/search": {
"title": "$:/temp/search",
"text": ""
},
"$:/tags/AdvancedSearch": {
"title": "$:/tags/AdvancedSearch",
"list": "[[$:/core/ui/AdvancedSearch/Standard]] [[$:/core/ui/AdvancedSearch/System]] [[$:/core/ui/AdvancedSearch/Shadows]] [[$:/core/ui/AdvancedSearch/Filter]]"
},
"$:/tags/ControlPanel": {
"title": "$:/tags/ControlPanel",
"list": "$:/core/ui/ControlPanel/Info $:/core/ui/ControlPanel/Appearance $:/core/ui/ControlPanel/Settings $:/core/ui/ControlPanel/Saving $:/core/ui/ControlPanel/Plugins $:/core/ui/ControlPanel/Tools $:/core/ui/ControlPanel/Internals"
},
"$:/tags/ControlPanel/Info": {
"title": "$:/tags/ControlPanel/Info",
"list": "$:/core/ui/ControlPanel/Basics $:/core/ui/ControlPanel/Advanced"
},
"$:/tags/ControlPanel/Plugins": {
"title": "$:/tags/ControlPanel/Plugins",
"list": "[[$:/core/ui/ControlPanel/Plugins/Installed]] [[$:/core/ui/ControlPanel/Plugins/Add]]"
},
"$:/tags/EditTemplate": {
"title": "$:/tags/EditTemplate",
"list": "[[$:/core/ui/EditTemplate/controls]] [[$:/core/ui/EditTemplate/title]] [[$:/core/ui/EditTemplate/tags]] [[$:/core/ui/EditTemplate/shadow]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/EditTemplate/body]] [[$:/core/ui/EditTemplate/type]] [[$:/core/ui/EditTemplate/fields]]"
},
"$:/tags/EditToolbar": {
"title": "$:/tags/EditToolbar",
"list": "[[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/cancel]] [[$:/core/ui/Buttons/save]]"
},
"$:/tags/MoreSideBar": {
"title": "$:/tags/MoreSideBar",
"list": "[[$:/core/ui/MoreSideBar/All]] [[$:/core/ui/MoreSideBar/Recent]] [[$:/core/ui/MoreSideBar/Tags]] [[$:/core/ui/MoreSideBar/Missing]] [[$:/core/ui/MoreSideBar/Drafts]] [[$:/core/ui/MoreSideBar/Orphans]] [[$:/core/ui/MoreSideBar/Types]] [[$:/core/ui/MoreSideBar/System]] [[$:/core/ui/MoreSideBar/Shadows]]",
"text": ""
},
"$:/tags/PageControls": {
"title": "$:/tags/PageControls",
"list": "[[$:/core/ui/Buttons/home]] [[$:/core/ui/Buttons/close-all]] [[$:/core/ui/Buttons/fold-all]] [[$:/core/ui/Buttons/unfold-all]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/new-tiddler]] [[$:/core/ui/Buttons/new-journal]] [[$:/core/ui/Buttons/import]] [[$:/core/ui/Buttons/export-page]] [[$:/core/ui/Buttons/control-panel]] [[$:/core/ui/Buttons/advanced-search]] [[$:/core/ui/Buttons/tag-manager]] [[$:/core/ui/Buttons/language]] [[$:/core/ui/Buttons/palette]] [[$:/core/ui/Buttons/theme]] [[$:/core/ui/Buttons/storyview]] [[$:/core/ui/Buttons/encryption]] [[$:/core/ui/Buttons/full-screen]] [[$:/core/ui/Buttons/save-wiki]] [[$:/core/ui/Buttons/refresh]] [[$:/core/ui/Buttons/more-page-actions]]"
},
"$:/tags/PageTemplate": {
"title": "$:/tags/PageTemplate",
"list": "[[$:/core/ui/PageTemplate/topleftbar]] [[$:/core/ui/PageTemplate/toprightbar]] [[$:/core/ui/PageTemplate/sidebar]] [[$:/core/ui/PageTemplate/story]] [[$:/core/ui/PageTemplate/alerts]]",
"text": ""
},
"$:/tags/SideBar": {
"title": "$:/tags/SideBar",
"list": "[[$:/core/ui/SideBar/Open]] [[$:/core/ui/SideBar/Recent]] [[$:/core/ui/SideBar/Tools]] [[$:/core/ui/SideBar/More]]",
"text": ""
},
"$:/tags/TiddlerInfo": {
"title": "$:/tags/TiddlerInfo",
"list": "[[$:/core/ui/TiddlerInfo/Tools]] [[$:/core/ui/TiddlerInfo/References]] [[$:/core/ui/TiddlerInfo/Tagging]] [[$:/core/ui/TiddlerInfo/List]] [[$:/core/ui/TiddlerInfo/Listed]] [[$:/core/ui/TiddlerInfo/Fields]]",
"text": ""
},
"$:/tags/TiddlerInfo/Advanced": {
"title": "$:/tags/TiddlerInfo/Advanced",
"list": "[[$:/core/ui/TiddlerInfo/Advanced/ShadowInfo]] [[$:/core/ui/TiddlerInfo/Advanced/PluginInfo]]"
},
"$:/tags/ViewTemplate": {
"title": "$:/tags/ViewTemplate",
"list": "[[$:/core/ui/ViewTemplate/title]] [[$:/core/ui/ViewTemplate/unfold]] [[$:/core/ui/ViewTemplate/subtitle]] [[$:/core/ui/ViewTemplate/tags]] [[$:/core/ui/ViewTemplate/classic]] [[$:/core/ui/ViewTemplate/body]]"
},
"$:/tags/ViewToolbar": {
"title": "$:/tags/ViewToolbar",
"list": "[[$:/core/ui/Buttons/more-tiddler-actions]] [[$:/core/ui/Buttons/info]] [[$:/core/ui/Buttons/new-here]] [[$:/core/ui/Buttons/new-journal-here]] [[$:/core/ui/Buttons/clone]] [[$:/core/ui/Buttons/export-tiddler]] [[$:/core/ui/Buttons/edit]] [[$:/core/ui/Buttons/delete]] [[$:/core/ui/Buttons/permalink]] [[$:/core/ui/Buttons/permaview]] [[$:/core/ui/Buttons/open-window]] [[$:/core/ui/Buttons/close-others]] [[$:/core/ui/Buttons/close]] [[$:/core/ui/Buttons/fold-others]] [[$:/core/ui/Buttons/fold]]"
},
"$:/snippets/themeswitcher": {
"title": "$:/snippets/themeswitcher",
"text": "\\define lingo-base() $:/language/ControlPanel/Theme/\n<<lingo Prompt>> <$view tiddler={{$:/theme}} field=\"name\"/>\n\n<$linkcatcher to=\"$:/theme\">\n<$list filter=\"[plugin-type[theme]sort[title]]\"><div><$reveal state=\"$:/theme\" type=\"match\" text={{!!title}}>•</$reveal><$reveal state=\"$:/theme\" type=\"nomatch\" text={{!!title}}> </$reveal> <$link to={{!!title}}>''<$view field=\"name\" format=\"text\"/>'' <$view field=\"description\" format=\"text\"/></$link></div>\n</$list>\n</$linkcatcher>"
},
"$:/core/wiki/title": {
"title": "$:/core/wiki/title",
"type": "text/vnd.tiddlywiki",
"text": "{{$:/SiteTitle}} --- {{$:/SiteSubtitle}}"
},
"$:/view": {
"title": "$:/view",
"text": "classic"
},
"$:/snippets/viewswitcher": {
"title": "$:/snippets/viewswitcher",
"text": "\\define lingo-base() $:/language/ControlPanel/StoryView/\n<<lingo Prompt>> <$select tiddler=\"$:/view\">\n<$list filter=\"[storyviews[]]\">\n<option><$view field=\"title\"/></option>\n</$list>\n</$select>"
}
}
}
Introduction
The following tiddlers were imported: # [[unix.jpg]]
no
$:/palettes/Rocker
looking for the evidence by eye tracking
Learning English syntax via patterned Mnemonic devices
yes
no
yes
$:/themes/tiddlywiki/vanilla/themetweaks
$:/core/ui/ControlPanel/Appearance
$:/core/ui/SideBar/Recent
{
"tiddlers": {
"$:/info/browser": {
"title": "$:/info/browser",
"text": "yes"
},
"$:/info/node": {
"title": "$:/info/node",
"text": "no"
}
}
}
$:/themes/tiddlywiki/snowwhite
{
"tiddlers": {
"$:/themes/tiddlywiki/snowwhite/base": {
"title": "$:/themes/tiddlywiki/snowwhite/base",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline\n\n.tc-sidebar-header {\n\ttext-shadow: 0 1px 0 <<colour sidebar-foreground-shadow>>;\n}\n\n.tc-tiddler-info {\n\t<<box-shadow \"inset 1px 2px 3px rgba(0,0,0,0.1)\">>\n}\n\n@media screen {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow \"1px 1px 5px rgba(0, 0, 0, 0.3)\">>\n\t}\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\t<<box-shadow none>>\n\t}\n}\n\n.tc-page-controls button svg, .tc-tiddler-controls button svg, .tc-topbar button svg {\n\t<<transition \"fill 150ms ease-in-out\">>\n}\n\n.tc-tiddler-controls button.tc-selected,\n.tc-page-controls button.tc-selected {\n\t<<filter \"drop-shadow(0px -1px 2px rgba(0,0,0,0.25))\">>\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-edit-tags {\n\t<<box-shadow \"inset 0 1px 8px rgba(0, 0, 0, 0.15)\">>\n}\n\n.tc-tiddler-frame .tc-edit-tags input.tc-edit-texteditor {\n\t<<box-shadow \"none\">>\n\tborder: none;\n\toutline: none;\n}\n\ncanvas.tc-edit-bitmapeditor {\n\t<<box-shadow \"2px 2px 5px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-drop-down {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-block-dropdown {\n\tborder-radius: 4px;\n\t<<box-shadow \"2px 2px 10px rgba(0, 0, 0, 0.5)\">>\n}\n\n.tc-modal {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n}\n\n.tc-modal-footer {\n\tborder-radius: 0 0 6px 6px;\n\t<<box-shadow \"inset 0 1px 0 #fff\">>;\n}\n\n\n.tc-alert {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.6)\">>\n}\n\n.tc-notification {\n\tborder-radius: 6px;\n\t<<box-shadow \"0 3px 7px rgba(0,0,0,0.3)\">>\n\ttext-shadow: 0 1px 0 rgba(255,255,255, 0.8);\n}\n\n.tc-sidebar-lists .tc-tab-set .tc-tab-divider {\n\tborder-top: none;\n\theight: 1px;\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.15) 0%, rgba(0,0,0,0.0) 100%\">>\n}\n\n.tc-more-sidebar .tc-tab-buttons button {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.01) 0%, rgba(0,0,0,0.1) 100%\">>\n}\n\n.tc-more-sidebar .tc-tab-buttons button.tc-tab-selected {\n\t<<background-linear-gradient \"left, rgba(0,0,0,0.05) 0%, rgba(255,255,255,0.05) 100%\">>\n}\n\n.tc-message-box img {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n\n.tc-plugin-info {\n\t<<box-shadow \"1px 1px 3px rgba(0,0,0,0.5)\">>\n}\n"
}
}
}
{
"tiddlers": {
"$:/themes/tiddlywiki/vanilla/themetweaks": {
"title": "$:/themes/tiddlywiki/vanilla/themetweaks",
"tags": "$:/tags/ControlPanel/Appearance",
"caption": "Theme Tweaks",
"text": "\\define backgroundimage-dropdown()\n<div class=\"tc-drop-down-wrapper\">\n<$button popup=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> class=\"tc-btn-invisible tc-btn-dropdown\">{{$:/core/images/down-arrow}}</$button>\n<$reveal state=<<qualify \"$:/state/popup/themetweaks/backgroundimage\">> type=\"popup\" position=\"belowleft\" text=\"\" default=\"\">\n<div class=\"tc-drop-down\">\n<$linkcatcher to=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\">\n<$link to=\"\">\n(none)\n</$link>\n<hr>\n<$list filter=\"[all[shadows+tiddlers]is[image]] -[type[application/pdf]] +[sort[title]]\">\n<$link to={{!!title}}>\n<$transclude/> <$view field=\"title\"/>\n</$link>\n</$list>\n</$linkcatcher>\n</div>\n</$reveal>\n</div>\n\\end\n\n\\define backgroundimageattachment-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment\" default=\"scroll\">\n<option value=\"scroll\">Scroll with tiddlers</option>\n<option value=\"fixed\">Fixed to window</option>\n</$select>\n\\end\n\n\\define backgroundimagesize-dropdown()\n<$select tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize\" default=\"scroll\">\n<option value=\"auto\">Auto</option>\n<option value=\"cover\">Cover</option>\n<option value=\"contain\">Contain</option>\n</$select>\n\\end\n\nYou can tweak certain aspects of the ''Vanilla'' theme.\n\n! Options\n\n|[[Sidebar layout|$:/themes/tiddlywiki/vanilla/options/sidebarlayout]] |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\"><option value=\"fixed-fluid\">Fixed story, fluid sidebar</option><option value=\"fluid-fixed\">Fluid story, fixed sidebar</option></$select> |\n|[[Sticky titles|$:/themes/tiddlywiki/vanilla/options/stickytitles]]<br>//Causes tiddler titles to \"stick\" to the top of the browser window. Caution: Does not work at all with Chrome, and causes some layout issues in Firefox// |<$select tiddler=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\"><option value=\"no\">No</option><option value=\"yes\">Yes</option></$select> |\n\n! Settings\n\n|[[Font family|$:/themes/tiddlywiki/vanilla/settings/fontfamily]] |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/fontfamily\" default=\"\" tag=\"input\"/> | |\n|[[Code font family|$:/themes/tiddlywiki/vanilla/settings/codefontfamily]] |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/codefontfamily\" default=\"\" tag=\"input\"/> | |\n|[[Page background image|$:/themes/tiddlywiki/vanilla/settings/backgroundimage]] |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/settings/backgroundimage\" default=\"\" tag=\"input\"/> |<<backgroundimage-dropdown>> |\n|[[Page background image attachment |$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment]] |<<backgroundimageattachment-dropdown>> | |\n|[[Page background image size |$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize]] |<<backgroundimagesize-dropdown>> | |\n\n! Sizes\n\n|[[Font size|$:/themes/tiddlywiki/vanilla/metrics/fontsize]] |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/fontsize\" default=\"\" tag=\"input\"/> |\n|[[Line height|$:/themes/tiddlywiki/vanilla/metrics/lineheight]] |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/lineheight\" default=\"\" tag=\"input\"/> |\n|[[Font size for tiddler body|$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize]] |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize\" default=\"\" tag=\"input\"/> |\n|[[Line height for tiddler body|$:/themes/tiddlywiki/vanilla/metrics/bodylineheight]] |<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight\" default=\"\" tag=\"input\"/> |\n|[[Story left position|$:/themes/tiddlywiki/vanilla/metrics/storyleft]]<br>//how far the left margin of the story river<br>(tiddler area) is from the left of the page// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyleft\" default=\"\" tag=\"input\"/> |\n|[[Story top position|$:/themes/tiddlywiki/vanilla/metrics/storytop]]<br>//how far the top margin of the story river<br>is from the top of the page// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storytop\" default=\"\" tag=\"input\"/> |\n|[[Story right|$:/themes/tiddlywiki/vanilla/metrics/storyright]]<br>//how far the left margin of the sidebar <br>is from the left of the page// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storyright\" default=\"\" tag=\"input\"/> |\n|[[Story width|$:/themes/tiddlywiki/vanilla/metrics/storywidth]]<br>//the overall width of the story river// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/storywidth\" default=\"\" tag=\"input\"/> |\n|[[Tiddler width|$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth]]<br>//within the story river//<br> |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth\" default=\"\" tag=\"input\"/> |\n|[[Sidebar breakpoint|$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint]]<br>//the minimum page width at which the story<br>river and sidebar will appear side by side// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint\" default=\"\" tag=\"input\"/> |\n|[[Sidebar width|$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth]]<br>//the width of the sidebar in fluid-fixed layout// |^<$edit-text tiddler=\"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth\" default=\"\" tag=\"input\"/> |\n"
},
"$:/themes/tiddlywiki/vanilla/base": {
"title": "$:/themes/tiddlywiki/vanilla/base",
"tags": "[[$:/tags/Stylesheet]]",
"text": "\\define custom-background-datauri()\n<$set name=\"background\" value={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}>\n<$list filter=\"[<background>is[image]]\">\n`background: url(`\n<$list filter=\"[<background>!has[_canonical_uri]]\">\n<$macrocall $name=\"datauri\" title={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}}/>\n</$list>\n<$list filter=\"[<background>has[_canonical_uri]]\">\n<$view tiddler={{$:/themes/tiddlywiki/vanilla/settings/backgroundimage}} field=\"_canonical_uri\"/>\n</$list>\n`) center center;`\n`background-attachment: `{{$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment}}`;\n-webkit-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-moz-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\n-o-background-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;\nbackground-size:` {{$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize}}`;`\n</$list>\n</$set>\n\\end\n\n\\define if-fluid-fixed(text,hiddenSidebarText)\n<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/sidebarlayout\" type=\"match\" text=\"fluid-fixed\">\n$text$\n<$reveal state=\"$:/state/sidebar\" type=\"nomatch\" text=\"yes\" default=\"yes\">\n$hiddenSidebarText$\n</$reveal>\n</$reveal>\n\\end\n\n\\rules only filteredtranscludeinline transcludeinline macrodef macrocallinline macrocallblock\n\n/*\n** Start with the normalize CSS reset, and then belay some of its effects\n*/\n\n{{$:/themes/tiddlywiki/vanilla/reset}}\n\n*, input[type=\"search\"] {\n\tbox-sizing: border-box;\n\t-moz-box-sizing: border-box;\n\t-webkit-box-sizing: border-box;\n}\n\nhtml button {\n\tline-height: 1.2;\n\tcolor: <<colour button-foreground>>;\n\tbackground: <<colour button-background>>;\n\tborder-color: <<colour button-border>>;\n}\n\n/*\n** Basic element styles\n*/\n\nhtml {\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/fontfamily}};\n\ttext-rendering: optimizeLegibility; /* Enables kerning and ligatures etc. */\n\t-webkit-font-smoothing: antialiased;\n\t-moz-osx-font-smoothing: grayscale;\n}\n\nhtml:-webkit-full-screen {\n\tbackground-color: <<colour page-background>>;\n}\n\nbody.tc-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/fontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/lineheight}};\n\tcolor: <<colour foreground>>;\n\tbackground-color: <<colour page-background>>;\n\tfill: <<colour foreground>>;\n\tword-wrap: break-word;\n\t<<custom-background-datauri>>\n}\n\nh1, h2, h3, h4, h5, h6 {\n\tline-height: 1.2;\n\tfont-weight: 300;\n}\n\npre {\n\tdisplay: block;\n\tpadding: 14px;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n\tword-break: normal;\n\tword-wrap: break-word;\n\twhite-space: pre;\n\twhite-space: pre-wrap;\n\tbackground-color: <<colour pre-background>>;\n\tborder: 1px solid <<colour pre-border>>;\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\ncode {\n\tcolor: <<colour code-foreground>>;\n\tbackground-color: <<colour code-background>>;\n\tborder: 1px solid <<colour code-border>>;\n white-space: pre-wrap;\n\tpadding: 0 3px 2px;\n\tborder-radius: 3px;\n\tfont-family: {{$:/themes/tiddlywiki/vanilla/settings/codefontfamily}};\n}\n\nblockquote {\n\tborder-left: 5px solid <<colour blockquote-bar>>;\n\tmargin-left: 25px;\n\tpadding-left: 10px;\n}\n\ndl dt {\n\tfont-weight: bold;\n\tmargin-top: 6px;\n}\n\ntextarea,\ninput[type=text],\ninput[type=search],\ninput[type=\"\"],\ninput:not([type]) {\n\tcolor: <<colour foreground>>;\n\tbackground: <<colour background>>;\n}\n\n.tc-muted {\n\tcolor: <<colour muted-foreground>>;\n}\n\nsvg.tc-image-button {\n\tpadding: 0px 1px 1px 0px;\n}\n\nkbd {\n\tdisplay: inline-block;\n\tpadding: 3px 5px;\n\tfont-size: 0.8em;\n\tline-height: 1.2;\n\tcolor: <<colour foreground>>;\n\tvertical-align: middle;\n\tbackground-color: <<colour background>>;\n\tborder: solid 1px <<colour muted-foreground>>;\n\tborder-bottom-color: <<colour muted-foreground>>;\n\tborder-radius: 3px;\n\tbox-shadow: inset 0 -1px 0 <<colour muted-foreground>>;\n}\n\n/*\nMarkdown likes putting code elements inside pre elements\n*/\npre > code {\n\tpadding: 0;\n\tborder: none;\n\tbackground-color: inherit;\n\tcolor: inherit;\n}\n\ntable {\n\tborder: 1px solid <<colour table-border>>;\n\twidth: auto;\n\tmax-width: 100%;\n\tcaption-side: bottom;\n\tmargin-top: 1em;\n\tmargin-bottom: 1em;\n}\n\ntable th, table td {\n\tpadding: 0 7px 0 7px;\n\tborder-top: 1px solid <<colour table-border>>;\n\tborder-left: 1px solid <<colour table-border>>;\n}\n\ntable thead tr td, table th {\n\tbackground-color: <<colour table-header-background>>;\n\tfont-weight: bold;\n}\n\ntable tfoot tr td {\n\tbackground-color: <<colour table-footer-background>>;\n}\n\n.tc-csv-table {\n\twhite-space: nowrap;\n}\n\n.tc-tiddler-frame img,\n.tc-tiddler-frame svg,\n.tc-tiddler-frame canvas,\n.tc-tiddler-frame embed,\n.tc-tiddler-frame iframe {\n\tmax-width: 100%;\n}\n\n.tc-tiddler-body > embed,\n.tc-tiddler-body > iframe {\n\twidth: 100%;\n\theight: 600px;\n}\n\n/*\n** Links\n*/\n\nbutton.tc-tiddlylink,\na.tc-tiddlylink {\n\ttext-decoration: none;\n\tfont-weight: normal;\n\tcolor: <<colour tiddler-link-foreground>>;\n\t-webkit-user-select: inherit; /* Otherwise the draggable attribute makes links impossible to select */\n}\n\n.tc-sidebar-lists a.tc-tiddlylink {\n\tcolor: <<colour sidebar-tiddler-link-foreground>>;\n}\n\n.tc-sidebar-lists a.tc-tiddlylink:hover {\n\tcolor: <<colour sidebar-tiddler-link-foreground-hover>>;\n}\n\nbutton.tc-tiddlylink:hover,\na.tc-tiddlylink:hover {\n\ttext-decoration: underline;\n}\n\na.tc-tiddlylink-resolves {\n}\n\na.tc-tiddlylink-shadow {\n\tfont-weight: bold;\n}\n\na.tc-tiddlylink-shadow.tc-tiddlylink-resolves {\n\tfont-weight: normal;\n}\n\na.tc-tiddlylink-missing {\n\tfont-style: italic;\n}\n\na.tc-tiddlylink-external {\n\ttext-decoration: underline;\n\tcolor: <<colour external-link-foreground>>;\n\tbackground-color: <<colour external-link-background>>;\n}\n\na.tc-tiddlylink-external:visited {\n\tcolor: <<colour external-link-foreground-visited>>;\n\tbackground-color: <<colour external-link-background-visited>>;\n}\n\na.tc-tiddlylink-external:hover {\n\tcolor: <<colour external-link-foreground-hover>>;\n\tbackground-color: <<colour external-link-background-hover>>;\n}\n\n/*\n** Drag and drop styles\n*/\n\n.tc-tiddler-dragger {\n\tposition: relative;\n\tz-index: -10000;\n}\n\n.tc-tiddler-dragger-inner {\n\tposition: absolute;\n\tdisplay: inline-block;\n\tpadding: 8px 20px;\n\tfont-size: 16.9px;\n\tfont-weight: bold;\n\tline-height: 20px;\n\tcolor: <<colour dragger-foreground>>;\n\ttext-shadow: 0 1px 0 rgba(0, 0, 0, 1);\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour dragger-background>>;\n\tborder-radius: 20px;\n}\n\n.tc-tiddler-dragger-cover {\n\tposition: absolute;\n\tbackground-color: <<colour page-background>>;\n}\n\n.tc-dropzone {\n\tposition: relative;\n}\n\n.tc-dropzone.tc-dragover:before {\n\tz-index: 10000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour dropzone-background>>;\n\ttext-align: center;\n\tcontent: \"<<lingo DropMessage>>\";\n}\n\n/*\n** Plugin reload warning\n*/\n\n.tc-plugin-reload-warning {\n\tz-index: 1000;\n\tdisplay: block;\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbackground: <<colour alert-background>>;\n\ttext-align: center;\n}\n\n/*\n** Buttons\n*/\n\nbutton svg, button img {\n\tvertical-align: middle;\n}\n\n.tc-btn-invisible {\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n}\n\n.tc-btn-boxed {\n\tfont-size: 0.6em;\n\tpadding: 0.2em;\n\tmargin: 1px;\n\tbackground: none;\n\tborder: 1px solid <<colour tiddler-controls-foreground>>;\n\tborder-radius: 0.25em;\n}\n\nhtml body.tc-body .tc-btn-boxed svg {\n\tfont-size: 1.6666em;\n}\n\n.tc-btn-boxed:hover {\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n}\n\nhtml body.tc-body .tc-btn-boxed:hover svg {\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded {\n\tfont-size: 0.5em;\n\tline-height: 2;\n\tpadding: 0em 0.3em 0.2em 0.4em;\n\tmargin: 1px;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour muted-foreground>>;\n\tcolor: <<colour background>>;\n\tborder-radius: 2em;\n}\n\nhtml body.tc-body .tc-btn-rounded svg {\n\tfont-size: 1.6666em;\n\tfill: <<colour background>>;\n}\n\n.tc-btn-rounded:hover {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground: <<colour background>>;\n\tcolor: <<colour muted-foreground>>;\n}\n\nhtml body.tc-body .tc-btn-rounded:hover svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-icon svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-btn-text {\n\tpadding: 0;\n\tmargin: 0;\n}\n\n.tc-btn-big-green {\n\tdisplay: inline-block;\n\tpadding: 8px;\n\tmargin: 4px 8px 4px 8px;\n\tbackground: <<colour download-background>>;\n\tcolor: <<colour download-foreground>>;\n\tfill: <<colour download-foreground>>;\n\tborder: none;\n\tfont-size: 1.2em;\n\tline-height: 1.4em;\n\ttext-decoration: none;\n}\n\n.tc-btn-big-green svg,\n.tc-btn-big-green img {\n\theight: 2em;\n\twidth: 2em;\n\tvertical-align: middle;\n\tfill: <<colour download-foreground>>;\n}\n\n.tc-sidebar-lists input {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-sidebar-lists button {\n\tcolor: <<colour sidebar-button-foreground>>;\n\tfill: <<colour sidebar-button-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini {\n\tcolor: <<colour sidebar-muted-foreground>>;\n}\n\n.tc-sidebar-lists button.tc-btn-mini:hover {\n\tcolor: <<colour sidebar-muted-foreground-hover>>;\n}\n\nbutton svg.tc-image-button, button .tc-image-button img {\n\theight: 1em;\n\twidth: 1em;\n}\n\n.tc-unfold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 100%;\n width: calc(100% + 2px);\n margin-left: -43px;\n\ttext-align: center;\n\tborder-top: 2px solid <<colour tiddler-info-background>>;\n\tmargin-top: 4px;\n}\n\n.tc-unfold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n\tborder-top: 2px solid <<colour tiddler-info-border>>;\n}\n\n.tc-unfold-banner svg, .tc-fold-banner svg {\n\theight: 0.75em;\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-unfold-banner:hover svg, .tc-fold-banner:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n.tc-fold-banner {\n\tposition: absolute;\n\tpadding: 0;\n\tmargin: 0;\n\tbackground: none;\n\tborder: none;\n\twidth: 23px;\n\ttext-align: center;\n\tmargin-left: -35px;\n top: 6px;\n bottom: 6px;\n}\n\n.tc-fold-banner:hover {\n\tbackground: <<colour tiddler-info-background>>;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t\n\t.tc-unfold-banner {\n\t\tposition: static;\n\t width: calc(100% + 59px);\n }\n\n\t.tc-fold-banner {\n\t\twidth: 16px;\n\t\tmargin-left: -16px;\n\t font-size: 0.75em;\n\t}\n\n}\n\n/*\n** Tags and missing tiddlers\n*/\n\n.tc-tag-list-item {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin-right: 7px;\n}\n\n.tc-tags-wrapper {\n\tmargin: 4px 0 14px 0;\n}\n\n.tc-missing-tiddler-label {\n\tfont-style: italic;\n\tfont-weight: normal;\n\tdisplay: inline-block;\n\tfont-size: 11.844px;\n\tline-height: 14px;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n}\n\nbutton.tc-tag-label, span.tc-tag-label {\n\tdisplay: inline-block;\n\tpadding: 0.16em 0.7em;\n\tfont-size: 0.9em;\n\tfont-weight: 300;\n\tline-height: 1.2em;\n\tcolor: <<colour tag-foreground>>;\n\twhite-space: nowrap;\n\tvertical-align: baseline;\n\tbackground-color: <<colour tag-background>>;\n\tborder-radius: 1em;\n}\n\n.tc-untagged-separator {\n\twidth: 10em;\n\tleft: 0;\n\tmargin-left: 0;\n\tborder: 0;\n\theight: 1px;\n\tbackground: <<colour tab-divider>>;\n}\n\nbutton.tc-untagged-label {\n\tbackground-color: <<colour untagged-background>>;\n}\n\n.tc-tag-label svg, .tc-tag-label img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour tag-foreground>>;\n}\n\n.tc-tag-manager-table .tc-tag-label {\n\twhite-space: normal;\n}\n\n.tc-tag-manager-tag {\n\twidth: 100%;\n}\n\n/*\n** Page layout\n*/\n\n.tc-topbar {\n\tposition: fixed;\n\tz-index: 1200;\n}\n\n.tc-topbar-left {\n\tleft: 29px;\n\ttop: 5px;\n}\n\n.tc-topbar-right {\n\ttop: 5px;\n\tright: 29px;\n}\n\n.tc-topbar button {\n\tpadding: 8px;\n}\n\n.tc-topbar svg {\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-topbar button:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-sidebar-header {\n\tcolor: <<colour sidebar-foreground>>;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-sidebar-header .tc-title a.tc-tiddlylink-resolves {\n\tfont-weight: 300;\n}\n\n.tc-sidebar-header .tc-sidebar-lists p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-sidebar-header .tc-missing-tiddler-label {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-advanced-search input {\n\twidth: 60%;\n}\n\n.tc-search a svg {\n\twidth: 1.2em;\n\theight: 1.2em;\n\tvertical-align: middle;\n}\n\n.tc-page-controls {\n\tmargin-top: 14px;\n\tfont-size: 1.5em;\n}\n\n.tc-page-controls button {\n\tmargin-right: 0.5em;\n}\n\n.tc-page-controls a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n}\n\n.tc-page-controls img {\n\twidth: 1em;\n}\n\n.tc-page-controls svg {\n\tfill: <<colour sidebar-controls-foreground>>;\n}\n\n.tc-page-controls button:hover svg, .tc-page-controls a:hover svg {\n\tfill: <<colour sidebar-controls-foreground-hover>>;\n}\n\n.tc-menu-list-item {\n\twhite-space: nowrap;\n}\n\n.tc-menu-list-count {\n\tfont-weight: bold;\n}\n\n.tc-menu-list-subitem {\n\tpadding-left: 7px;\n}\n\n.tc-story-river {\n\tposition: relative;\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-sidebar-header {\n\t\tpadding: 14px;\n\t\tmin-height: 32px;\n\t\tmargin-top: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tpadding: 0;\n\t}\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-message-box {\n\t\tmargin: 21px -21px 21px -21px;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tposition: fixed;\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyright}};\n\t\tbottom: 0;\n\t\tright: 0;\n\t\toverflow-y: auto;\n\t\toverflow-x: auto;\n\t\t-webkit-overflow-scrolling: touch;\n\t\tmargin: 0 0 0 -42px;\n\t\tpadding: 71px 0 28px 42px;\n\t}\n\n\t.tc-story-river {\n\t\tposition: relative;\n\t\tleft: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\ttop: {{$:/themes/tiddlywiki/vanilla/metrics/storytop}};\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/storywidth}};\n\t\tpadding: 42px 42px 42px 42px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-story-river {\n\t\twidth: auto;\n\t}\n\n\">>\n\n}\n\n@media print {\n\n\tbody.tc-body {\n\t\tbackground-color: transparent;\n\t}\n\n\t.tc-sidebar-header, .tc-topbar {\n\t\tdisplay: none;\n\t}\n\n\t.tc-story-river {\n\t\tmargin: 0;\n\t\tpadding: 0;\n\t}\n\n\t.tc-story-river .tc-tiddler-frame {\n\t\tmargin: 0;\n\t\tborder: none;\n\t\tpadding: 28px;\n\t}\n}\n\n/*\n** Tiddler styles\n*/\n\n.tc-tiddler-frame {\n\tposition: relative;\n\tmargin-bottom: 28px;\n\tbackground-color: <<colour tiddler-background>>;\n\tborder: 1px solid <<colour tiddler-border>>;\n}\n\n{{$:/themes/tiddlywiki/vanilla/sticky}}\n\n.tc-tiddler-info {\n\tpadding: 14px 42px 14px 42px;\n\tbackground-color: <<colour tiddler-info-background>>;\n\tborder-top: 1px solid <<colour tiddler-info-border>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-border>>;\n}\n\n.tc-tiddler-info p {\n\tmargin-top: 3px;\n\tmargin-bottom: 3px;\n}\n\n.tc-tiddler-info .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour tiddler-info-tab-background>>;\n\tborder-bottom: 1px solid <<colour tiddler-info-tab-background>>;\n}\n\n.tc-view-field-table {\n\twidth: 100%;\n}\n\n.tc-view-field-name {\n\twidth: 1%; /* Makes this column be as narrow as possible */\n\ttext-align: right;\n\tfont-style: italic;\n\tfont-weight: 200;\n}\n\n.tc-view-field-value {\n}\n\n@media (max-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\tpadding: 14px 14px 14px 14px;\n\t}\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -14px 0 -14px;\n\t}\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\t.tc-tiddler-frame {\n\t\tpadding: 28px 42px 42px 42px;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth}};\n\t\tborder-radius: 2px;\n\t}\n\n<<if-no-sidebar \"\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\">>\n\n\t.tc-tiddler-info {\n\t\tmargin: 0 -42px 0 -42px;\n\t}\n}\n\n.tc-site-title,\n.tc-titlebar {\n\tfont-weight: 300;\n\tfont-size: 2.35em;\n\tline-height: 1.2em;\n\tcolor: <<colour tiddler-title-foreground>>;\n\tmargin: 0;\n}\n\n.tc-site-title {\n\tcolor: <<colour site-title-foreground>>;\n}\n\n.tc-tiddler-title-icon {\n\tvertical-align: middle;\n}\n\n.tc-system-title-prefix {\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-titlebar h2 {\n\tfont-size: 1em;\n\tdisplay: inline;\n}\n\n.tc-titlebar img {\n\theight: 1em;\n}\n\n.tc-subtitle {\n\tfont-size: 0.9em;\n\tcolor: <<colour tiddler-subtitle-foreground>>;\n\tfont-weight: 300;\n}\n\n.tc-tiddler-missing .tc-title {\n font-style: italic;\n font-weight: normal;\n}\n\n.tc-tiddler-frame .tc-tiddler-controls {\n\tfloat: right;\n}\n\n.tc-tiddler-controls .tc-drop-down {\n\tfont-size: 0.6em;\n}\n\n.tc-tiddler-controls .tc-drop-down .tc-drop-down {\n\tfont-size: 1em;\n}\n\n.tc-tiddler-controls > span > button {\n\tvertical-align: baseline;\n\tmargin-left:5px;\n}\n\n.tc-tiddler-controls button svg, .tc-tiddler-controls button img,\n.tc-search button svg, .tc-search a svg {\n\theight: 0.75em;\n\tfill: <<colour tiddler-controls-foreground>>;\n}\n\n.tc-tiddler-controls button.tc-selected svg,\n.tc-page-controls button.tc-selected svg {\n\tfill: <<colour tiddler-controls-foreground-selected>>;\n}\n\n.tc-tiddler-controls button.tc-btn-invisible:hover svg,\n.tc-search button:hover svg, .tc-search a:hover svg {\n\tfill: <<colour tiddler-controls-foreground-hover>>;\n}\n\n@media print {\n\t.tc-tiddler-controls {\n\t\tdisplay: none;\n\t}\n}\n\n.tc-tiddler-help { /* Help prompts within tiddler template */\n\tcolor: <<colour muted-foreground>>;\n\tmargin-top: 14px;\n}\n\n.tc-tiddler-help a.tc-tiddlylink {\n\tcolor: <<colour very-muted-foreground>>;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor, .tc-tiddler-frame textarea.tc-edit-texteditor {\n\twidth: 100%;\n\tpadding: 3px 3px 3px 3px;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tline-height: 1.3em;\n\t-webkit-appearance: none;\n\tmargin: 4px 0 4px 0;\n}\n\n.tc-tiddler-frame .tc-binary-warning {\n\twidth: 100%;\n\theight: 5em;\n\ttext-align: center;\n\tpadding: 3em 3em 6em 3em;\n\tbackground: <<colour alert-background>>;\n\tborder: 1px solid <<colour alert-border>>;\n}\n\n.tc-tiddler-frame input.tc-edit-texteditor {\n\tbackground-color: <<colour tiddler-editor-background>>;\n}\n\ncanvas.tc-edit-bitmapeditor {\n\tborder: 6px solid <<colour tiddler-editor-border-image>>;\n\tcursor: crosshair;\n\t-moz-user-select: none;\n\t-webkit-user-select: none;\n\t-ms-user-select: none;\n\tmargin-top: 6px;\n\tmargin-bottom: 6px;\n}\n\n.tc-edit-bitmapeditor-width {\n\tdisplay: block;\n}\n\n.tc-edit-bitmapeditor-height {\n\tdisplay: block;\n}\n\n.tc-tiddler-body {\n\tclear: both;\n}\n\n.tc-tiddler-frame .tc-tiddler-body {\n\tfont-size: {{$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize}};\n\tline-height: {{$:/themes/tiddlywiki/vanilla/metrics/bodylineheight}};\n}\n\n.tc-titlebar, .tc-tiddler-edit-title {\n\toverflow: hidden; /* https://github.com/Jermolene/TiddlyWiki5/issues/282 */\n}\n\nhtml body.tc-body.tc-single-tiddler-window {\n\tmargin: 1em;\n\tbackground: <<colour tiddler-background>>;\n}\n\n.tc-single-tiddler-window img,\n.tc-single-tiddler-window svg,\n.tc-single-tiddler-window canvas,\n.tc-single-tiddler-window embed,\n.tc-single-tiddler-window iframe {\n\tmax-width: 100%;\n}\n\n/*\n** Adjustments for fluid-fixed mode\n*/\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n<<if-fluid-fixed text:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 0;\n\t\tposition: relative;\n\t\twidth: auto;\n\t\tleft: 0;\n\t\tmargin-left: {{$:/themes/tiddlywiki/vanilla/metrics/storyleft}};\n\t\tmargin-right: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\t.tc-tiddler-frame {\n\t\twidth: 100%;\n\t}\n\n\t.tc-sidebar-scrollable {\n\t\tleft: auto;\n\t\tbottom: 0;\n\t\tright: 0;\n\t\twidth: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth}};\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 42px);\n\t}\n\n\"\"\" hiddenSidebarText:\"\"\"\n\n\t.tc-story-river {\n\t\tpadding-right: 3em;\n\t\tmargin-right: 0;\n\t}\n\n\tbody.tc-body .tc-storyview-zoomin-tiddler {\n\t\twidth: 100%;\n\t\twidth: calc(100% - 84px);\n\t}\n\n\"\"\">>\n\n}\n\n/*\n** Toolbar buttons\n*/\n\n.tc-page-controls svg.tc-image-new-button {\n fill: <<colour toolbar-new-button>>;\n}\n\n.tc-page-controls svg.tc-image-options-button {\n fill: <<colour toolbar-options-button>>;\n}\n\n.tc-page-controls svg.tc-image-save-button {\n fill: <<colour toolbar-save-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-info-button {\n fill: <<colour toolbar-info-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-edit-button {\n fill: <<colour toolbar-edit-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-close-button {\n fill: <<colour toolbar-close-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-delete-button {\n fill: <<colour toolbar-delete-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-cancel-button {\n fill: <<colour toolbar-cancel-button>>;\n}\n\n.tc-tiddler-controls button svg.tc-image-done-button {\n fill: <<colour toolbar-done-button>>;\n}\n\n/*\n** Tiddler edit mode\n*/\n\n.tc-tiddler-edit-frame em.tc-edit {\n\tcolor: <<colour muted-foreground>>;\n\tfont-style: normal;\n}\n\n.tc-edit-type-dropdown a.tc-tiddlylink-missing {\n\tfont-style: normal;\n}\n\n.tc-edit-tags {\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tpadding: 4px 8px 4px 8px;\n}\n\n.tc-edit-add-tag {\n\tdisplay: inline-block;\n}\n\n.tc-edit-add-tag .tc-add-tag-name input {\n\twidth: 50%;\n}\n\n.tc-edit-tags .tc-tag-label {\n\tdisplay: inline-block;\n}\n\n.tc-edit-tags-list {\n\tmargin: 14px 0 14px 0;\n}\n\n.tc-remove-tag-button {\n\tpadding-left: 4px;\n}\n\n.tc-tiddler-preview {\n\toverflow: auto;\n}\n\n.tc-tiddler-preview-preview {\n\tfloat: right;\n\twidth: 48%;\n\tborder: 1px solid <<colour tiddler-editor-border>>;\n\tmargin: 4px 3px 3px 3px;\n\tpadding: 3px 3px 3px 3px;\n}\n\n.tc-tiddler-preview-edit {\n\twidth: 48%;\n}\n\n.tc-edit-fields {\n\twidth: 100%;\n}\n\n\n.tc-edit-fields table, .tc-edit-fields tr, .tc-edit-fields td {\n\tborder: none;\n\tpadding: 4px;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(odd) {\n\tbackground-color: <<colour tiddler-editor-fields-odd>>;\n}\n\n.tc-edit-fields > tbody > .tc-edit-field:nth-child(even) {\n\tbackground-color: <<colour tiddler-editor-fields-even>>;\n}\n\n.tc-edit-field-name {\n\ttext-align: right;\n}\n\n.tc-edit-field-value input {\n\twidth: 100%;\n}\n\n.tc-edit-field-remove {\n}\n\n.tc-edit-field-remove svg {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n\tvertical-align: middle;\n}\n\n.tc-edit-field-add-name {\n\tdisplay: inline-block;\n\twidth: 15%;\n}\n\n.tc-edit-field-add-value {\n\tdisplay: inline-block;\n\twidth: 40%;\n}\n\n.tc-edit-field-add-button {\n\tdisplay: inline-block;\n\twidth: 10%;\n}\n\n/*\n** Storyview Classes\n*/\n\n.tc-storyview-zoomin-tiddler {\n\tposition: absolute;\n\tdisplay: block;\n\twidth: 100%;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-storyview-zoomin-tiddler {\n\t\twidth: calc(100% - 84px);\n\t}\n\n}\n\n/*\n** Dropdowns\n*/\n\n.tc-btn-dropdown {\n\ttext-align: left;\n}\n\n.tc-btn-dropdown svg, .tc-btn-dropdown img {\n\theight: 1em;\n\twidth: 1em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-drop-down-wrapper {\n\tposition: relative;\n}\n\n.tc-drop-down {\n\tmin-width: 380px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\ttext-shadow: none;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-drop-down {\n\tmargin-left: 14px;\n}\n\n.tc-drop-down button svg, .tc-drop-down a svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down button.tc-btn-invisible:hover svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-drop-down p {\n\tpadding: 0 14px 0 14px;\n}\n\n.tc-drop-down svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-drop-down img {\n\twidth: 1em;\n}\n\n.tc-drop-down-language-chooser img {\n\twidth: 2em;\n\tvertical-align: baseline;\n}\n\n.tc-drop-down a, .tc-drop-down button {\n\tdisplay: block;\n\tpadding: 0 14px 0 14px;\n\twidth: 100%;\n\ttext-align: left;\n\tcolor: <<colour foreground>>;\n\tline-height: 1.4;\n}\n\n.tc-drop-down .tc-prompt {\n\tpadding: 0 14px;\t\n}\n\n.tc-drop-down .tc-chooser {\n\tborder: none;\n}\n\n.tc-drop-down .tc-chooser .tc-swatches-horiz {\n\tfont-size: 0.4em;\n\tpadding-left: 1.2em;\n}\n\n.tc-drop-down .tc-file-input-wrapper {\n\twidth: 100%;\n}\n\n.tc-drop-down .tc-file-input-wrapper button {\n\tcolor: <<colour foreground>>;\n}\n\n.tc-drop-down a:hover, .tc-drop-down button:hover, .tc-drop-down .tc-file-input-wrapper:hover button {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-drop-down .tc-tab-buttons button {\n\tbackground-color: <<colour dropdown-tab-background>>;\n}\n\n.tc-drop-down .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour dropdown-tab-background-selected>>;\n\tborder-bottom: 1px solid <<colour dropdown-tab-background-selected>>;\n}\n\n.tc-drop-down-bullet {\n\tdisplay: inline-block;\n\twidth: 0.5em;\n}\n\n.tc-drop-down .tc-tab-contents a {\n\tpadding: 0 0.5em 0 0.5em;\n}\n\n.tc-block-dropdown-wrapper {\n\tposition: relative;\n}\n\n.tc-block-dropdown {\n\tposition: absolute;\n\tmin-width: 220px;\n\tborder: 1px solid <<colour dropdown-border>>;\n\tbackground-color: <<colour dropdown-background>>;\n\tpadding: 7px 0;\n\tmargin: 4px 0 0 0;\n\twhite-space: nowrap;\n\tz-index: 1000;\n\ttext-shadow: none;\n}\n\n.tc-block-dropdown.tc-search-drop-down {\n\tmargin-left: -12px;\n}\n\n.tc-block-dropdown a {\n\tdisplay: block;\n\tpadding: 4px 14px 4px 14px;\n}\n\n.tc-block-dropdown.tc-search-drop-down a {\n\tdisplay: block;\n\tpadding: 0px 10px 0px 10px;\n}\n\n.tc-drop-down .tc-dropdown-item,\n.tc-block-dropdown .tc-dropdown-item {\n\tpadding: 4px 14px 4px 7px;\n\tcolor: <<colour muted-foreground>>;\n}\n\n.tc-block-dropdown a:hover {\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n\ttext-decoration: none;\n}\n\n.tc-search-results {\n padding: 0 7px 0 7px;\n}\n\n/*\n** Modals\n*/\n\n.tc-modal-wrapper {\n\tposition: fixed;\n\toverflow: auto;\n\toverflow-y: scroll;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n}\n\n.tc-modal-backdrop {\n\tposition: fixed;\n\ttop: 0;\n\tright: 0;\n\tbottom: 0;\n\tleft: 0;\n\tz-index: 1000;\n\tbackground-color: <<colour modal-backdrop>>;\n}\n\n.tc-modal {\n\tz-index: 1100;\n\tbackground-color: <<colour modal-background>>;\n\tborder: 1px solid <<colour modal-border>>;\n}\n\n@media (max-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 1em;\n\t\tleft: 1em;\n\t\tright: 1em;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n@media (min-width: 55em) {\n\t.tc-modal {\n\t\tposition: fixed;\n\t\ttop: 2em;\n\t\tleft: 25%;\n\t\twidth: 50%;\n\t}\n\n\t.tc-modal-body {\n\t\toverflow-y: auto;\n\t\tmax-height: 400px;\n\t\tmax-height: 60vh;\n\t}\n}\n\n.tc-modal-header {\n\tpadding: 9px 15px;\n\tborder-bottom: 1px solid <<colour modal-header-border>>;\n}\n\n.tc-modal-header h3 {\n\tmargin: 0;\n\tline-height: 30px;\n}\n\n.tc-modal-header img, .tc-modal-header svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-modal-body {\n\tpadding: 15px;\n}\n\n.tc-modal-footer {\n\tpadding: 14px 15px 15px;\n\tmargin-bottom: 0;\n\ttext-align: right;\n\tbackground-color: <<colour modal-footer-background>>;\n\tborder-top: 1px solid <<colour modal-footer-border>>;\n}\n\n/*\n** Notifications\n*/\n\n.tc-notification {\n\tposition: fixed;\n\ttop: 14px;\n\tright: 42px;\n\tz-index: 1300;\n\tmax-width: 280px;\n\tpadding: 0 14px 0 14px;\n\tbackground-color: <<colour notification-background>>;\n\tborder: 1px solid <<colour notification-border>>;\n}\n\n/*\n** Tabs\n*/\n\n.tc-tab-set.tc-vertical {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tab-buttons {\n\tfont-size: 0.85em;\n\tpadding-top: 1em;\n\tmargin-bottom: -2px;\n}\n\n.tc-tab-buttons.tc-vertical {\n\tz-index: 100;\n\tdisplay: block;\n\tpadding-top: 14px;\n\tvertical-align: top;\n\ttext-align: right;\n\tmargin-bottom: inherit;\n\tmargin-right: -1px;\n\tmax-width: 33%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n}\n\n.tc-tab-buttons button.tc-tab-selected {\n\tcolor: <<colour tab-foreground-selected>>;\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-left: 1px solid <<colour tab-border-selected>>;\n\tborder-top: 1px solid <<colour tab-border-selected>>;\n\tborder-right: 1px solid <<colour tab-border-selected>>;\n}\n\n.tc-tab-buttons button {\n\tcolor: <<colour tab-foreground>>;\n\tpadding: 3px 5px 3px 5px;\n\tmargin-right: 0.3em;\n\tfont-weight: 300;\n\tborder: none;\n\tbackground: inherit;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-right: 1px solid <<colour tab-border>>;\n\tborder-top-left-radius: 2px;\n\tborder-top-right-radius: 2px;\n}\n\n.tc-tab-buttons.tc-vertical button {\n\tdisplay: block;\n\twidth: 100%;\n\tmargin-top: 3px;\n\tmargin-right: 0;\n\ttext-align: right;\n\tbackground-color: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tborder-right: none;\n\tborder-top-left-radius: 2px;\n\tborder-bottom-left-radius: 2px;\n}\n\n.tc-tab-buttons.tc-vertical button.tc-tab-selected {\n\tbackground-color: <<colour tab-background-selected>>;\n\tborder-right: 1px solid <<colour tab-background-selected>>;\n}\n\n.tc-tab-divider {\n\tborder-top: 1px solid <<colour tab-divider>>;\n}\n\n.tc-tab-divider.tc-vertical {\n\tdisplay: none;\n}\n\n.tc-tab-content {\n\tmargin-top: 14px;\n}\n\n.tc-tab-content.tc-vertical {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-top: 0;\n\tpadding-left: 14px;\n\tborder-left: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 70%;\n\tflex: 1 0 70%;\n}\n\n.tc-sidebar-lists .tc-tab-buttons {\n\tmargin-bottom: -1px;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tcolor: <<colour sidebar-tab-foreground-selected>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border-selected>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border-selected>>;\n}\n\n.tc-sidebar-lists .tc-tab-buttons button {\n\tdisplay: inline;\n\twidth: auto;\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tcolor: <<colour sidebar-tab-foreground>>;\n\tborder-left: 1px solid <<colour sidebar-tab-border>>;\n\tborder-top: 1px solid <<colour sidebar-tab-border>>;\n\tborder-right: 1px solid <<colour sidebar-tab-border>>;\n}\n\n.tc-sidebar-lists .tc-tab-divider {\n\tborder-top: 1px solid <<colour sidebar-tab-divider>>;\n}\n\n.tc-more-sidebar .tc-tab-buttons button {\n\tdisplay: block;\n\twidth: 100%;\n\tbackground-color: <<colour sidebar-tab-background>>;\n\tborder-top: none;\n\tborder-left: none;\n\tborder-bottom: none;\n\tborder-right: 1px solid #ccc;\n\tmargin-bottom: inherit;\n}\n\n.tc-more-sidebar .tc-tab-buttons button.tc-tab-selected {\n\tbackground-color: <<colour sidebar-tab-background-selected>>;\n\tborder: none;\n}\n\n/*\n** Alerts\n*/\n\n.tc-alerts {\n\tposition: fixed;\n\ttop: 0;\n\tleft: 0;\n\tmax-width: 500px;\n\tz-index: 20000;\n}\n\n.tc-alert {\n\tposition: relative;\n\tmargin: 28px;\n\tpadding: 14px 14px 14px 14px;\n\tborder: 2px solid <<colour alert-border>>;\n\tbackground-color: <<colour alert-background>>;\n}\n\n.tc-alert-toolbar {\n\tposition: absolute;\n\ttop: 14px;\n\tright: 14px;\n}\n\n.tc-alert-toolbar svg {\n\tfill: <<colour alert-muted-foreground>>;\n}\n\n.tc-alert-subtitle {\n\tcolor: <<colour alert-muted-foreground>>;\n\tfont-weight: bold;\n}\n\n.tc-alert-highlight {\n\tcolor: <<colour alert-highlight>>;\n}\n\n@media (min-width: {{$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint}}) {\n\n\t.tc-static-alert {\n\t\tposition: relative;\n\t}\n\n\t.tc-static-alert-inner {\n\t\tposition: absolute;\n\t\tz-index: 100;\n\t}\n\n}\n\n.tc-static-alert-inner {\n\tpadding: 0 2px 2px 42px;\n\tcolor: <<colour static-alert-foreground>>;\n}\n\n/*\n** Control panel\n*/\n\n.tc-control-panel td {\n\tpadding: 4px;\n}\n\n.tc-control-panel table, .tc-control-panel table input, .tc-control-panel table textarea {\n\twidth: 100%;\n}\n\n.tc-plugin-info {\n\tdisplay: block;\n\tborder: 1px solid <<colour muted-foreground>>;\n\tbackground-colour: <<colour background>>;\n\tmargin: 0.5em 0 0.5em 0;\n\tpadding: 4px;\n}\n\n.tc-plugin-info-disabled {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n\tbackground: repeating-linear-gradient(45deg, #ff0, #ff0 10px, #eee 10px, #eee 20px);\n}\n\n.tc-plugin-info-disabled:hover {\n\tbackground: -webkit-repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n\tbackground: repeating-linear-gradient(45deg, #aa0, #aa0 10px, #888 10px, #888 20px);\n}\n\na.tc-tiddlylink.tc-plugin-info:hover {\n\ttext-decoration: none;\n\tbackground-color: <<colour primary>>;\n\tcolor: <<colour background>>;\n\tfill: <<colour foreground>>;\n}\n\na.tc-tiddlylink.tc-plugin-info:hover .tc-plugin-info > .tc-plugin-info-chunk > svg {\n\tfill: <<colour foreground>>;\n}\n\n.tc-plugin-info-chunk {\n\tdisplay: inline-block;\n\tvertical-align: middle;\n}\n\n.tc-plugin-info-chunk h1 {\n\tfont-size: 1em;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk h2 {\n\tfont-size: 0.8em;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info-chunk div {\n\tfont-size: 0.7em;\n\tmargin: 2px 0 2px 0;\n}\n\n.tc-plugin-info:hover > .tc-plugin-info-chunk > img, .tc-plugin-info:hover > .tc-plugin-info-chunk > svg {\n\twidth: 2em;\n\theight: 2em;\n\tfill: <<colour foreground>>;\n}\n\n.tc-plugin-info > .tc-plugin-info-chunk > img, .tc-plugin-info > .tc-plugin-info-chunk > svg {\n\twidth: 2em;\n\theight: 2em;\n\tfill: <<colour muted-foreground>>;\n}\n\n.tc-plugin-info.tc-small-icon > .tc-plugin-info-chunk > img, .tc-plugin-info.tc-small-icon > .tc-plugin-info-chunk > svg {\n\twidth: 1em;\n\theight: 1em;\n}\n\n.tc-plugin-info-dropdown {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tmargin-top: -8px;\n}\n\n.tc-plugin-info-dropdown-message {\n\tbackground: <<colour message-background>>;\n\tpadding: 0.5em 1em 0.5em 1em;\n\tfont-weight: bold;\n\tfont-size: 0.8em;\n}\n\n.tc-plugin-info-dropdown-body {\n\tpadding: 1em 1em 1em 1em;\n}\n\n/*\n** Message boxes\n*/\n\n.tc-message-box {\n\tborder: 1px solid <<colour message-border>>;\n\tbackground: <<colour message-background>>;\n\tpadding: 0px 21px 0px 21px;\n\tfont-size: 12px;\n\tline-height: 18px;\n\tcolor: <<colour message-foreground>>;\n}\n\n/*\n** Pictures\n*/\n\n.tc-bordered-image {\n\tborder: 1px solid <<colour muted-foreground>>;\n\tpadding: 5px;\n\tmargin: 5px;\n}\n\n/*\n** Floats\n*/\n\n.tc-float-right {\n\tfloat: right;\n}\n\n/*\n** Chooser\n*/\n\n.tc-chooser {\n\tborder: 1px solid <<colour table-border>>;\n}\n\n.tc-chooser-item {\n\tborder: 8px;\n\tpadding: 2px 4px;\n}\n\n.tc-chooser-item a.tc-tiddlylink {\n\tdisplay: block;\n\ttext-decoration: none;\n\tcolor: <<colour tiddler-link-foreground>>;\n\tbackground-color: <<colour tiddler-link-background>>;\n}\n\n.tc-chooser-item a.tc-tiddlylink:hover {\n\ttext-decoration: none;\n\tcolor: <<colour tiddler-link-background>>;\n\tbackground-color: <<colour tiddler-link-foreground>>;\n}\n\n/*\n** Palette swatches\n*/\n\n.tc-swatches-horiz {\n}\n\n.tc-swatches-horiz .tc-swatch {\n\tdisplay: inline-block;\n}\n\n.tc-swatch {\n\twidth: 2em;\n\theight: 2em;\n\tmargin: 0.4em;\n\tborder: 1px solid #888;\n}\n\n/*\n** Table of contents\n*/\n\n.tc-sidebar-lists .tc-table-of-contents {\n\twhite-space: nowrap;\n}\n\n.tc-table-of-contents button {\n\tcolor: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents svg {\n\twidth: 0.7em;\n\theight: 0.7em;\n\tvertical-align: middle;\n\tfill: <<colour sidebar-foreground>>;\n}\n\n.tc-table-of-contents ol {\n\tlist-style-type: none;\n\tpadding-left: 0;\n}\n\n.tc-table-of-contents ol ol {\n\tpadding-left: 1em;\n}\n\n.tc-table-of-contents li {\n\tfont-size: 1.0em;\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li {\n\tfont-size: 0.95em;\n\tfont-weight: normal;\n\tline-height: 1.4;\n}\n\n.tc-table-of-contents li li a {\n\tfont-weight: normal;\n}\n\n.tc-table-of-contents li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n\tline-height: 1.5;\n}\n\n.tc-table-of-contents li li li a {\n\tfont-weight: bold;\n}\n\n.tc-table-of-contents li li li li {\n\tfont-size: 0.95em;\n\tfont-weight: 200;\n}\n\n.tc-tabbed-table-of-contents {\n\tdisplay: -webkit-flex;\n\tdisplay: flex;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents {\n\tz-index: 100;\n\tdisplay: inline-block;\n\tpadding-left: 1em;\n\tmax-width: 50%;\n\t-webkit-flex: 0 0 auto;\n\tflex: 0 0 auto;\n\tbackground: <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a,\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tdisplay: block;\n\tpadding: 0.12em 1em 0.12em 0.25em;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a {\n\tborder-top: 1px solid <<colour tab-background>>;\n\tborder-left: 1px solid <<colour tab-background>>;\n\tborder-bottom: 1px solid <<colour tab-background>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item > a:hover {\n\ttext-decoration: none;\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour tab-border>>;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a {\n\tborder-top: 1px solid <<colour tab-border>>;\n\tborder-left: 1px solid <<colour tab-border>>;\n\tborder-bottom: 1px solid <<colour tab-border>>;\n\tbackground: <<colour background>>;\n\tmargin-right: -1px;\n}\n\n.tc-tabbed-table-of-contents .tc-table-of-contents .toc-item-selected > a:hover {\n\ttext-decoration: none;\n}\n\n.tc-tabbed-table-of-contents .tc-tabbed-table-of-contents-content {\n\tdisplay: inline-block;\n\tvertical-align: top;\n\tpadding-left: 1.5em;\n\tpadding-right: 1.5em;\n\tborder: 1px solid <<colour tab-border>>;\n\t-webkit-flex: 1 0 50%;\n\tflex: 1 0 50%;\n}\n\n/*\n** Dirty indicator\n*/\n\nbody.tc-dirty span.tc-dirty-indicator, body.tc-dirty span.tc-dirty-indicator svg {\n\tfill: <<colour dirty-indicator>>;\n\tcolor: <<colour dirty-indicator>>;\n}\n\n/*\n** File inputs\n*/\n\n.tc-file-input-wrapper {\n\tposition: relative;\n\toverflow: hidden;\n\tdisplay: inline-block;\n\tvertical-align: middle;\n}\n\n.tc-file-input-wrapper input[type=file] {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tfont-size: 999px;\n\tmax-width: 100%;\n\tmax-height: 100%;\n\tfilter: alpha(opacity=0);\n\topacity: 0;\n\toutline: none;\n\tbackground: white;\n\tcursor: pointer;\n\tdisplay: inline-block;\n}\n\n/*\n** Thumbnail macros\n*/\n\n.tc-thumbnail-wrapper {\n\tposition: relative;\n\tdisplay: inline-block;\n\tmargin: 6px;\n\tvertical-align: top;\n}\n\n.tc-thumbnail-right-wrapper {\n\tfloat:right;\n\tmargin: 0.5em 0 0.5em 0.5em;\n}\n\n.tc-thumbnail-image {\n text-align: center;\n\toverflow: hidden;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-image svg,\n.tc-thumbnail-image img {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n min-width: 100%;\n min-height: 100%;\n max-width: 100%;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-image img {\n\tfilter: alpha(opacity=0.8);\n\topacity: 0.8;\n}\n\n.tc-thumbnail-background {\n\tposition: absolute;\n\tborder-radius: 3px;\n}\n\n.tc-thumbnail-icon svg,\n.tc-thumbnail-icon img {\n\twidth: 3em;\n\theight: 3em;\n\t<<filter \"drop-shadow(2px 2px 4px rgba(0,0,0,0.3))\">>\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon svg,\n.tc-thumbnail-wrapper:hover .tc-thumbnail-icon img {\n\tfill: #fff;\n\t<<filter \"drop-shadow(3px 3px 4px rgba(0,0,0,0.6))\">>\n}\n\n.tc-thumbnail-icon {\n\tposition: absolute;\n\ttop: 0;\n\tleft: 0;\n\tright: 0;\n\tbottom: 0;\n\tdisplay: -webkit-flex;\n\t-webkit-align-items: center;\n\t-webkit-justify-content: center;\n\tdisplay: flex;\n\talign-items: center;\n\tjustify-content: center;\n}\n\n.tc-thumbnail-caption {\n\tposition: absolute;\n\tbackground-color: #777;\n\tcolor: #fff;\n\ttext-align: center;\n\tbottom: 0;\n\twidth: 100%;\n\tfilter: alpha(opacity=0.9);\n\topacity: 0.9;\n\tline-height: 1.4;\n\tborder-bottom-left-radius: 3px;\n\tborder-bottom-right-radius: 3px;\n}\n\n.tc-thumbnail-wrapper:hover .tc-thumbnail-caption {\n\tfilter: alpha(opacity=1);\n\topacity: 1;\n}\n\n/*\n** Errors\n*/\n\n.tc-error {\n\tbackground: #f00;\n\tcolor: #fff;\n}\n"
},
"$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/bodyfontsize",
"text": "15px"
},
"$:/themes/tiddlywiki/vanilla/metrics/bodylineheight": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/bodylineheight",
"text": "22px"
},
"$:/themes/tiddlywiki/vanilla/metrics/fontsize": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/fontsize",
"text": "14px"
},
"$:/themes/tiddlywiki/vanilla/metrics/lineheight": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/lineheight",
"text": "20px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storyleft": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storyleft",
"text": "0px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storytop": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storytop",
"text": "0px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storyright": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storyright",
"text": "770px"
},
"$:/themes/tiddlywiki/vanilla/metrics/storywidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/storywidth",
"text": "770px"
},
"$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/tiddlerwidth",
"text": "686px"
},
"$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarbreakpoint",
"text": "960px"
},
"$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth": {
"title": "$:/themes/tiddlywiki/vanilla/metrics/sidebarwidth",
"text": "350px"
},
"$:/themes/tiddlywiki/vanilla/options/stickytitles": {
"title": "$:/themes/tiddlywiki/vanilla/options/stickytitles",
"text": "no"
},
"$:/themes/tiddlywiki/vanilla/options/sidebarlayout": {
"title": "$:/themes/tiddlywiki/vanilla/options/sidebarlayout",
"text": "fixed-fluid"
},
"$:/themes/tiddlywiki/vanilla/reset": {
"title": "$:/themes/tiddlywiki/vanilla/reset",
"type": "text/plain",
"text": "/*! normalize.css v3.0.0 | MIT License | git.io/normalize */\n\n/**\n * 1. Set default font family to sans-serif.\n * 2. Prevent iOS text size adjust after orientation change, without disabling\n * user zoom.\n */\n\nhtml {\n font-family: sans-serif; /* 1 */\n -ms-text-size-adjust: 100%; /* 2 */\n -webkit-text-size-adjust: 100%; /* 2 */\n}\n\n/**\n * Remove default margin.\n */\n\nbody {\n margin: 0;\n}\n\n/* HTML5 display definitions\n ========================================================================== */\n\n/**\n * Correct `block` display not defined in IE 8/9.\n */\n\narticle,\naside,\ndetails,\nfigcaption,\nfigure,\nfooter,\nheader,\nhgroup,\nmain,\nnav,\nsection,\nsummary {\n display: block;\n}\n\n/**\n * 1. Correct `inline-block` display not defined in IE 8/9.\n * 2. Normalize vertical alignment of `progress` in Chrome, Firefox, and Opera.\n */\n\naudio,\ncanvas,\nprogress,\nvideo {\n display: inline-block; /* 1 */\n vertical-align: baseline; /* 2 */\n}\n\n/**\n * Prevent modern browsers from displaying `audio` without controls.\n * Remove excess height in iOS 5 devices.\n */\n\naudio:not([controls]) {\n display: none;\n height: 0;\n}\n\n/**\n * Address `[hidden]` styling not present in IE 8/9.\n * Hide the `template` element in IE, Safari, and Firefox < 22.\n */\n\n[hidden],\ntemplate {\n display: none;\n}\n\n/* Links\n ========================================================================== */\n\n/**\n * Remove the gray background color from active links in IE 10.\n */\n\na {\n background: transparent;\n}\n\n/**\n * Improve readability when focused and also mouse hovered in all browsers.\n */\n\na:active,\na:hover {\n outline: 0;\n}\n\n/* Text-level semantics\n ========================================================================== */\n\n/**\n * Address styling not present in IE 8/9, Safari 5, and Chrome.\n */\n\nabbr[title] {\n border-bottom: 1px dotted;\n}\n\n/**\n * Address style set to `bolder` in Firefox 4+, Safari 5, and Chrome.\n */\n\nb,\nstrong {\n font-weight: bold;\n}\n\n/**\n * Address styling not present in Safari 5 and Chrome.\n */\n\ndfn {\n font-style: italic;\n}\n\n/**\n * Address variable `h1` font-size and margin within `section` and `article`\n * contexts in Firefox 4+, Safari 5, and Chrome.\n */\n\nh1 {\n font-size: 2em;\n margin: 0.67em 0;\n}\n\n/**\n * Address styling not present in IE 8/9.\n */\n\nmark {\n background: #ff0;\n color: #000;\n}\n\n/**\n * Address inconsistent and variable font size in all browsers.\n */\n\nsmall {\n font-size: 80%;\n}\n\n/**\n * Prevent `sub` and `sup` affecting `line-height` in all browsers.\n */\n\nsub,\nsup {\n font-size: 75%;\n line-height: 0;\n position: relative;\n vertical-align: baseline;\n}\n\nsup {\n top: -0.5em;\n}\n\nsub {\n bottom: -0.25em;\n}\n\n/* Embedded content\n ========================================================================== */\n\n/**\n * Remove border when inside `a` element in IE 8/9.\n */\n\nimg {\n border: 0;\n}\n\n/**\n * Correct overflow displayed oddly in IE 9.\n */\n\nsvg:not(:root) {\n overflow: hidden;\n}\n\n/* Grouping content\n ========================================================================== */\n\n/**\n * Address margin not present in IE 8/9 and Safari 5.\n */\n\nfigure {\n margin: 1em 40px;\n}\n\n/**\n * Address differences between Firefox and other browsers.\n */\n\nhr {\n -moz-box-sizing: content-box;\n box-sizing: content-box;\n height: 0;\n}\n\n/**\n * Contain overflow in all browsers.\n */\n\npre {\n overflow: auto;\n}\n\n/**\n * Address odd `em`-unit font size rendering in all browsers.\n */\n\ncode,\nkbd,\npre,\nsamp {\n font-family: monospace, monospace;\n font-size: 1em;\n}\n\n/* Forms\n ========================================================================== */\n\n/**\n * Known limitation: by default, Chrome and Safari on OS X allow very limited\n * styling of `select`, unless a `border` property is set.\n */\n\n/**\n * 1. Correct color not being inherited.\n * Known issue: affects color of disabled elements.\n * 2. Correct font properties not being inherited.\n * 3. Address margins set differently in Firefox 4+, Safari 5, and Chrome.\n */\n\nbutton,\ninput,\noptgroup,\nselect,\ntextarea {\n color: inherit; /* 1 */\n font: inherit; /* 2 */\n margin: 0; /* 3 */\n}\n\n/**\n * Address `overflow` set to `hidden` in IE 8/9/10.\n */\n\nbutton {\n overflow: visible;\n}\n\n/**\n * Address inconsistent `text-transform` inheritance for `button` and `select`.\n * All other form control elements do not inherit `text-transform` values.\n * Correct `button` style inheritance in Firefox, IE 8+, and Opera\n * Correct `select` style inheritance in Firefox.\n */\n\nbutton,\nselect {\n text-transform: none;\n}\n\n/**\n * 1. Avoid the WebKit bug in Android 4.0.* where (2) destroys native `audio`\n * and `video` controls.\n * 2. Correct inability to style clickable `input` types in iOS.\n * 3. Improve usability and consistency of cursor style between image-type\n * `input` and others.\n */\n\nbutton,\nhtml input[type=\"button\"], /* 1 */\ninput[type=\"reset\"],\ninput[type=\"submit\"] {\n -webkit-appearance: button; /* 2 */\n cursor: pointer; /* 3 */\n}\n\n/**\n * Re-set default cursor for disabled elements.\n */\n\nbutton[disabled],\nhtml input[disabled] {\n cursor: default;\n}\n\n/**\n * Remove inner padding and border in Firefox 4+.\n */\n\nbutton::-moz-focus-inner,\ninput::-moz-focus-inner {\n border: 0;\n padding: 0;\n}\n\n/**\n * Address Firefox 4+ setting `line-height` on `input` using `!important` in\n * the UA stylesheet.\n */\n\ninput {\n line-height: normal;\n}\n\n/**\n * It's recommended that you don't attempt to style these elements.\n * Firefox's implementation doesn't respect box-sizing, padding, or width.\n *\n * 1. Address box sizing set to `content-box` in IE 8/9/10.\n * 2. Remove excess padding in IE 8/9/10.\n */\n\ninput[type=\"checkbox\"],\ninput[type=\"radio\"] {\n box-sizing: border-box; /* 1 */\n padding: 0; /* 2 */\n}\n\n/**\n * Fix the cursor style for Chrome's increment/decrement buttons. For certain\n * `font-size` values of the `input`, it causes the cursor style of the\n * decrement button to change from `default` to `text`.\n */\n\ninput[type=\"number\"]::-webkit-inner-spin-button,\ninput[type=\"number\"]::-webkit-outer-spin-button {\n height: auto;\n}\n\n/**\n * 1. Address `appearance` set to `searchfield` in Safari 5 and Chrome.\n * 2. Address `box-sizing` set to `border-box` in Safari 5 and Chrome\n * (include `-moz` to future-proof).\n */\n\ninput[type=\"search\"] {\n -webkit-appearance: textfield; /* 1 */\n -moz-box-sizing: content-box;\n -webkit-box-sizing: content-box; /* 2 */\n box-sizing: content-box;\n}\n\n/**\n * Remove inner padding and search cancel button in Safari and Chrome on OS X.\n * Safari (but not Chrome) clips the cancel button when the search input has\n * padding (and `textfield` appearance).\n */\n\ninput[type=\"search\"]::-webkit-search-cancel-button,\ninput[type=\"search\"]::-webkit-search-decoration {\n -webkit-appearance: none;\n}\n\n/**\n * Define consistent border, margin, and padding.\n */\n\nfieldset {\n border: 1px solid #c0c0c0;\n margin: 0 2px;\n padding: 0.35em 0.625em 0.75em;\n}\n\n/**\n * 1. Correct `color` not being inherited in IE 8/9.\n * 2. Remove padding so people aren't caught out if they zero out fieldsets.\n */\n\nlegend {\n border: 0; /* 1 */\n padding: 0; /* 2 */\n}\n\n/**\n * Remove default vertical scrollbar in IE 8/9.\n */\n\ntextarea {\n overflow: auto;\n}\n\n/**\n * Don't inherit the `font-weight` (applied by a rule above).\n * NOTE: the default cannot safely be changed in Chrome and Safari on OS X.\n */\n\noptgroup {\n font-weight: bold;\n}\n\n/* Tables\n ========================================================================== */\n\n/**\n * Remove most spacing between table cells.\n */\n\ntable {\n border-collapse: collapse;\n border-spacing: 0;\n}\n\ntd,\nth {\n padding: 0;\n}\n"
},
"$:/themes/tiddlywiki/vanilla/settings/fontfamily": {
"title": "$:/themes/tiddlywiki/vanilla/settings/fontfamily",
"text": "\"Helvetica Neue\", Helvetica, Arial, \"Lucida Grande\", \"DejaVu Sans\", sans-serif"
},
"$:/themes/tiddlywiki/vanilla/settings/codefontfamily": {
"title": "$:/themes/tiddlywiki/vanilla/settings/codefontfamily",
"text": "Monaco, Consolas, \"Lucida Console\", \"DejaVu Sans Mono\", monospace"
},
"$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment": {
"title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimageattachment",
"text": "fixed"
},
"$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize": {
"title": "$:/themes/tiddlywiki/vanilla/settings/backgroundimagesize",
"text": "auto"
},
"$:/themes/tiddlywiki/vanilla/sticky": {
"title": "$:/themes/tiddlywiki/vanilla/sticky",
"text": "<$reveal state=\"$:/themes/tiddlywiki/vanilla/options/stickytitles\" type=\"match\" text=\"yes\">\n``\n.tc-tiddler-title {\n\tposition: -webkit-sticky;\n\tposition: -moz-sticky;\n\tposition: -o-sticky;\n\tposition: -ms-sticky;\n\tposition: sticky;\n\ttop: 0px;\n\tbackground: ``<<colour tiddler-background>>``;\n\tz-index: 500;\n}\n``\n</$reveal>\n"
}
}
}
fluid-fixed
yes
pop
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
iVBORw0KGgoAAAANSUhEUgAAAjAAAAEyCAYAAADk0er5AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAB3RJTUUH4AUQCA4ONUE4/AAAAAd0RVh0QXV0aG9yAKmuzEgAAAAMdEVYdERlc2NyaXB0aW9uABMJISMAAAAKdEVYdENvcHlyaWdodACsD8w6AAAADnRFWHRDcmVhdGlvbiB0aW1lADX3DwkAAAAJdEVYdFNvZnR3YXJlAF1w/zoAAAALdEVYdERpc2NsYWltZXIAt8C0jwAAAAh0RVh0V2FybmluZwDAG+aHAAAAB3RFWHRTb3VyY2UA9f+D6wAAAAh0RVh0Q29tbWVudAD2zJa/AAAABnRFWHRUaXRsZQCo7tInAAAgAElEQVR4nOy9v2sby/f/f/Tl9R+sMLhw4yJh1Vzk4kKqwC4uAk75QYJb7FZpAnFza4nd6lXcJhduk8oqXrBbJ5DiIoGbBFJoSWPhFGlcGIz1N8y38PtMzo5mf0myZVnPBwh7d+fHmZkzs2dnzu60lFKKAAAAAAC2iP9v0wIAAAAAADSltgHTbrep1WoV/sIwvEcxV+OxywcAAACAZtQ2YG5vbymKIiIimk6npJTSv+l0SldXV/cm5Cq0Wq1NiwAAAACANbOWJaRut0vj8XgdSa0duPgAAAAAT4+VDZgsyyiO43XIAgAAAABQi5UNmI8fP+r/syzL+cVkWZbzncmyjIiIOp1OLlyapjqNdrtNYRhSGIa5eHEcW/1t+LzMu9PplMpsyinz932fWq0W+b5Pvu/r8ywPjDUAAADgEaAaEEWRIqKFXxRFuXCO4yjHcZRSSrmuqzzPW0iDcV1Xua6r43GaQRDkznEaQRDo+FIezi9Jklz8/3tNXB9Pp1MdVqYxnU5VkiQ6H1NOAAAAADwelpqBkU687Ngrub29pfl8Tq1Wi37//fecf8xgMNB+Ke12m2azWS6e4zgUBAGdnZ0REdFvv/1GruvqNA4PD3Npcf63t7dERNTr9cjzPPr06ZNV9vfv32vZWq0WDYdDIvo1kzSZTChN05ycAAAAAHhcrLyE9Pr1a+t5Niy+ffu2cI2Xlf7991/yPG9VERY4ODgovHZ1dUVBEOTeolJK0WAwoF6vR67rUr/f18tIAAAAAHh8rGzAdLtdGgwGFMex9g/Jsoz+/vtvUkrRbDbLGQK+79Pe3h4ppajb7a6avZWrqyva29uzXjs4OLAaVczFxQUppcjzPJpMJvh+DAAAAPAIWctr1FmW0XA4pMFgQEREx8fHeklnOp3SZDLJGTE3Nzf6/+/fv69DhJzxNJlM9NKQyenpKc1ms5xhkqYpxXFMaZpqOcfj8b3MDgEAAABgDdR1lpEOtrYfO7+S4YTruq4+57qumk6nC/Ho/5xwzfMyruM42oGXf9PpVDvbcjpkOBXL8CwTO/pKufi8TIfPK/XLedh0WAYAAADAw9NSars9VeM4puFwCIdbAAAAYIfAZo4AAAAA2Dq22oAJw1D7usgP5QEAAADgabP1S0gAAAAA2D22egYGAAAAALsJDBgAAAAAbB0wYAAAAACwdTx6A6bT6VTuLl2HNE3v1dGXd7hedrdqW/x1lR08PHIXdt7tXO6w/ti2qWi32yvJ9FC6GoYhtdvt0jDmjvUAgKfJfzYtQBmdTodmsxm5rrtSOmmaUr/fX5NUdrrd7tLfosmyjI6OjhbOX1xcrCoW2ACdTofevXtHg8GAOp0ORVFEl5eX9O3bN1JK6W8XZVl2b9tpNKHdbtN8Pl8pjYfQ1TAMaTQakeM4peHwXgIAu8GjnoG5uLhYyXjhJ8Jer0dJkqwkSxiG+kl63XS7XZpOp/eSNoOZnIchyzKazWZ6k9OLiwu6uLigJEno999/J6JfO7Iva7ysWxd5F/gmbEKfzs7OKAiCB88XAPA4edQGzCqsc4o+yzIajUZrS++hCcMwt/8UuD9+/PhhPb+u+n8MuvjYlr8AALtJbQNGrulnWUa+7+tjXm/mczzAsd8J/6R/B19jvwC5rs152Z7yZB5FA2mn06HJZEKz2czql8Lpm2vpUtZWq6Xl5OWdfr9fuP7O5eEnY+lzU5SfrJ/3798vpGnzS5DtIK/FcZyTna/5vk+j0Yjm83murcy2KfMN6nQ6ubBVT/8yrPRFkD4g8hqXScps1hfH7XQ6FIZhTl6pi1UzA2Y9ybLwNZmXDfZXMtPwfV8vVR4dHelrrVaL5vM5jUajnD6aspTJmWVZbV30fV/7pMh6lvVf5UdS1FZFfcumq1JvzPw6nQ75vp8rp+ynZe1ttoHM1/Ql4+M0TXN9BwDwBGiycZLneXrTRqWU3kiRmU6nCxsmmmGjKMptpijTU0rpTRtlGuZmi7a8bbLKzRhlntPpVG8qmSSJNTyJzR/NsCYy7SRJFjaLlPnxZpAcZjqd6vzldd7cUtaPrW5YJhmX64bTDoJAOY6Tk9e2UaUNs55d183FNSmSw6xDM0/XdXNllTJPp9OcDpj1JjfYdBxnQadkWWQ9sAxJkmhZZbvbmE6nuTTMujblk3LJdKMoysnpeZ5Ot6zOq3RRbkYqwwRBkMvfbEdZb1VtZfYVm666rpvLz3EcXT65SSvHkeUva2+WxVZXcqPYKIoWNo7lNOSYAgDYXhoZMObAKo0SPuZBwhzAlMoPUraB3rzBcDrmYFY0eJt52QwYmZ+UnZGDXl0DxiZbVX5m/ZgGjlL5m4qtbmzIHbuLDBh5k5O/qnrlG1XR4B8EQa0bg8yfqTJgbG2llLKWo6ieHMdZSEPqV5VRzHLZ8iwyTGXepgFhS4cNpKJdz+vooqn7nL8tP3ndZvjZ2qoofY5vPrxIuaX+L9PeNmNc1rcZ11ZfptEJANhOGvnADAYDIiI9Pfvz50/yPE87yJ6fn2vHRNua/8HBQenbDj9//izNv9frkeu61O/31/4qKk81Hx8fk1KqsVNjU5r6RFTVDU+5E1Glw/L19TVFUUTqzoDVv16vZw3PU+///vsveZ5XmO7V1VVpvrzU8/LlS4qiqDSspNvtkud5NBwOc0s7vKxgluP29taajk339vf3G7XF1dUVBUGwkCf3jbrc3NxQkiQL6XS73ZXfCLIxn89pOp0u5FfEsm1FRHR5eblwjseFKj3msLb2XhfPnz9fa3oAgM3Q2ImXDZY0Tenw8JDevHlDs9mMsiyjg4ODXNhv374txK8yDKoG74uLC1JKked5NJlM1va9h+PjYwqCoPDmdx9U3fAlh4eHhXWTpimNRiOaTqd0dnZWmdb+/j6dn5/Xytf3fdrb26v11szBwUGhMRDHMU0mk6Vu9kRE4/GYlFIUBAHNZjPyfV/L0+SNHFu59/b2asc/ODiw6nVT9vb26PPnz9ZrjuPUutE3wXEc+vjxY62wq7YVY2uXw8PDWnFt7b0u2MB6DK+wAwCWp7EBwwbL58+faTAYUK/XI8dx6Pj4mF69eqXDvXv3jmazWc7A+PTpE717964w7dPTUyL69ZYDv5I6m82o0+lQmqb62ng8Lp0NkNQ1ctigyLKs0FhYl8F0cnJCk8lED/LsxDscDq0fw+MbiXwazbIsJw+/AVN0YyS6k//Nmzc0mUxy+cRxXGgISKPk+/fvhWmfnp7SfD7P3WzSNM3lw7MmNkPi+vpa/8+Ox+12m7Is0+U2X6X1PG/hGz9FN7sgCBbKPZlM9I7mdTg9PV3Qa7OMdej3+zQajXJ1zs6qJycnC9dsZWqiiycnJ/rbM2VpSsraqkyGwWBAjuPk2iWOY3Icp5ZBVNbey/Lhwwf9/99//43XsQF4Ciyz7kSGo6O5Ls1Ix0iyOHfyT65PSwdYx3EWfGDkmnyZv4XMwyaHPA6CIHeO8yXhZMg+BDYHT9Np9//9v/9XmZ9Sef+CIideKQPXvZSTMR0jZd2aDsy2NihyfDUdITntIj8TM7zN2dOUcTqdLtSh6RMhw9v8pIr0ycT0YTEdVc16smHKymU0fYtc110IK9M28zT7lK3vyHq06aKsC7OeTPnKdK2sraTuFMU3z0tZ5Hn2hTHrx9beNvnl8X//+9+F66yPZl8DAGw/LaXw2UoAwNOEv3KdJEmhjxcAYDt5sh+yAwAAAMDTBQYMAOBJYn74b9mNVgEAjxMsIQEAAABg68AMDAAAAAC2DhgwAAAAANg6/mM7+fXr14eWAwAAAAA7zosXL2qHtRowTRMBT5uvX7/unD7sYpkBAGCTNJ08wRISAAAAALYOGDAAAAAA2DpgwAAAAABg64ABAwAAAICtY6MGTKfToVarRa1Wq3JnXEmapjqe3J35Psiy7EHykXVRtCv0LsH1vq7dv4mI2u32SulJveOf3N25TtyHaFuuuyZfnvV9n9rt9j1Kdb9gLPkFxpLVabfbjfRIEoYhtVqt2uFZB+uOJeAXGzVgLi4uyHXdWmHTNNWdsdfrURAEa5Oj7Kb248cPIiK6ublZW342Li4u7jX9baPb7ZJSis7OztaSXrvdpvl8vlIavV6PlFLkui55nkdKKep2u43iPsSGglx3g8GgdpzxeEy3t7f3KNX90mQsybJMG3cYS4DJKmNFGIY0Go1qh0/TlPr9/lJ5gS1aQnr79u29pFtlZfONZ5sHd0B0e3tLjuPcW/phGOJpd0v4448/7iVdjCVPg1XGirOzs1oGMc/C9Xo9SpJkqbzAlhgwnU5n5adnG2EY0mQyWXu6YLfIsqzRUxfYHL7v02w2W3u6GEtAXZZdmgKLNDJg4jhe8AGwXfN9P7cOK9f2eB241WrVWnPvdDp6wOn3+9Y4vu9b8yqTV071jUYj6xpkkawyvaIyyPJ3Oh29LirlbLfbVl+Fy8vLhfV8M36apjn5NrXTrqx7sy7M+pczFHyNiHL1JGnqA8M+LlIm26yIrMtVZ03MHY+L9IHLK3VMylA2qHE9SN0x9UHWk+lvw3qSpmlOLyWdTidX/51Oh3zfz7WhqWNm32rif7KJscT3fW1kDIdDq5/CQ48lPAbY2oTZ9FhitocMyzLLc1x2WbaqfmyWkTH9zuS1OmOIWdaictXxWSkrj9SbqnJOJhOazWbWuuY8qsbSOnLGcbzQH2UZbL5YRWOKGddMt8gHjfsvX1+nTyMRESkLX758sZ1WRKQ4iud5ioiU53n6Op8jIpUkiTUMX59Op2o6nepjGUYiwyRJos8HQaDPR1Gkj2152eSdTqfKdV1FRCoIAmveSikVRZEiIuU4jk6H/1dK5f43cRxHyydlcF1XKaVUkiT6mpSX05R1Jcssy2imcR8U6YPnebosLC/XZRRFubph2VleLhu3T5IkuTbma2VtI+G6lvXN7WuG4TRd1y3Uu6Iy2+Kxjkr9lMjyclt6nqfDl8lh6oQtP65bpX7VI1+X/cesX1kPUi/5WOqaTe9lX2rSVrJcnPZDjSVmn5T199BjiWw3pR73WML1y/FZJllemZbjODosxy1KW+q/GVbmIceIOmNIEASFOhtF0YK+FYWtKo9tHCy4tVrDyz4rdZnLUSWrJAiCQrkcx1nQEVNuvs71y2Uuagel7tpPjn3cD8w+XIeycddGIwNGUjboyEFPHnOlyErjjl806CilrJXAHZDTMo/ryLvKoFM22DDc0KaMciAsK6et3DyQyU5639j0wTagSczOotRdfXNdcL2a6dk6Ql3MAbVsMFRqsYNL1mnAKLU4IJQNQiZlg78cJBhzgLHJZ9aFbBtbGc2bgSlTmRFWxUOOJWUGzEOPJfImXMVjGEtMnXEcZ+EhRcpq/mztwmGrkHUlb+xlY0hZn5RGuvzJGzbLW1Ye2zhoGqYmRQaMTEPqaJWskqK8zQdKmW+SJCoIgkJ9t8VlzAck/nFaZWOsjaYGzFI+MO12W0/FXl9f14738+fPZbJbmWXltcFOWvP5vHJKjN84mc1mlKYpvXr1Sr8pEccxHRwcNM7/3bt3REQURRFlWUaHh4fNC7EG+I2KImw+S/v7+/f+Boak7htCm+Cvv/7SOrTMUhZPWb98+ZKiKLonKYvxPC/nfDibzejly5eN09nlsWQwGOi2q1p+ewxjycnJCX369ImI7pZ23r17R/P5XL8hyvEvLy/JdV1Sdw/I+jcejxfSvLy8LM2Tl07Oz89pOp3WLlvVK8k3NzeUJMmCjLYxo6w8VePgOmgiK7+1aS4H2vrLs2fPiOiufFdXV4X5l/W1Hz9+kOM4C7I91JtwjQwYHjT/+ecf8jyvcWas4A91E1tV3iLOzs7067Sj0ajU/4TzjaKIer2efmXu77//plevXjXOezAYkOM4NJvN6I8//mj0quw6YeUv68Dn5+cL5/b29u5NJhMexJ4/f/5gedaFX3VWShHRnf9M3e9AxHFMk8mk8avS62Q8Hut1/FarRZ7nNZIFY8kdg8GAlFLkeR5NJpPSB6JNjyWnp6faYPnw4QMNBgNyXZc+fPhAnz9/1vGfP39e21Ga+6ZN97Mso+FwSEmSWI2fMvjmXmQg7e3t0efPn2vLWFWe+zRkmshKRHpccRyHhsOhfjiaz+fWen7+/DkdHBwU9qXDw8PCl2iePXtWmO5DUNuASdNUP3n0er2lnj5ev35NRPmKbPpGQF0nwaby1k03DEM9yPzvf/+rDM9Ppfv7+0REupPP5/OlvwnCT06///77UvHXQbfbJdd1F75hwPUYBAFNJpOccTeZTGg4HN6rXPyESET0559/kuu6D/LtFaauk5rv+3pgYSOmKdyHbIbifdPpdGg6nZY+XReBseQO6WRZp/42PZZwn//w4YOWpd/v02QyyT3B93o9chxnwUnUVi8c9vj4uDAsGyEfP36sWao7PM+j4XCYu7lyuv1+n0ajUW7mMwxD6424rDx8TX7mg8egOo7BdcaLJrKGYajHXPk6OM/MyHp+//69Hh/ZOJX1nqYpxXGs9UyWn18kYJ0oa797pck6FBnrf/w/Ow6RsQYmj3k9z1xPlOGK1vnleu90Oi1Ng+WpkteUxZa3ub7ned6Cc1KddX8y1mJt/gJmGcxjW5oPRZU/iJTTthbMP9PpVNa9TVdkW/Fx2Xoqr1tzOqbPhmwzKbdtfddWZttauFwzN+VlzPJNp1O95txE/0z/A5tu//e//83FOT09La1rsy5c182lzbpq6qIMY7axlLuITY0lpi/FJscSds6UeVex6bHE5mNRVGZTN8ow9Ykxx1rZZ+uMIabuFr0IItvS7Ft1ymPTjyKkrDa5bTIVyWpi3p/McKZeSEwdNa/La+aYabaHdGy3hS/iwZx4wWZ5COddZlP6UHYjsmE6Ga4C+kA5ZQMoE0VRoZM3eDw85FgCQBkP4sQLHh7+zoLv+xSGIZ2enm5apAeBlwrA4yEMQ/r27Zv1/KtXr7Sunp+fP2pH6l1lV8cS8PSAAbMl8I2A1+Kf6o1BfkgpSZLa5Wy1WjSfz2k0GuFLl/eM+aaD/LhWr9fTDspNHS/Bw7ArYwl4+vxn0wKA+qglnT23iWXLuAt185jAhoHbDfoLeApgBgYAAAAAWwcMGAAAAABsHTBgAAAAALB1wIABAAAAwNYBAwYAAAAAWwcMGAAAAABsHTBgAGhIp9NZ+AZKu90morv9Q+R5uX8I76xL9OsbKvzNmna7nfueCsMfHVt212oAAHiqwIABoAG+79PNzU1ux1fXden29paIiN6+fUtBEJBSipIkodlspjdF440sW60WKaUoiiKaTCbUarXo33//1d/m4A3esiyj4+NjnVcURY12rQYAgKcMDBgAGnB9fU2//fabPj45OcltQ397e0tnZ2cUx3Fup+7BYEBRFBHRr4+I8TYJ8ovDvHss0d1usfP5XM++sAHUdFdeAAB4isCAAaAB/X5ff4KdiOjbt285g4aXic7Pz2k6na6U19XVlZ7NkT/e3h4AAHYZGDAANGAwGJDrunpW5ObmRu/5k2UZDYdDSpJkLfsAHRwcWDdNBAAAAAMGgEaEYUj9fl/PhrDvi+Ty8pKIVl/qOT09pdlspn1iiEj70wAAwM6jLHz58sV2Guwou6gPRWX2PE8R0cIvCIKF6/J/x3Fy4aMoKj32PE8ppVSSJLnzrutqWcxjAADYZprea7AbNQANODg4sO7ky7MkTZaOTF8Wm29Lr9ejXq9njW+TAwAAdgUsIQFQkzRNaTQaWc8DAAB4WDADA0BNer0eff78eeFjc67r0sXFxYakAgCA3QQzMAA04OzsbOG1ZhgvAADw8MCAAQAAAMDWAQMGAAAAAFsHDBgAAAAAbB0wYAAAAACwdbSU5WMSX79+3YQsAAAAANhhXrx4UTts4WvUTRIBT5uvX7/unD7sYpkBAGCTNJ08wRISAAAAALYOGDAAAAAA2DpgwAAAAABg64ABAwAAAICtAwYMAAAAALaO2gZMp9OhVqtFrVYLu++CeyfLMmq1WhSG4aZF0aRpqvuA7ef7/qZFXDvtdrtxuR6y3ZrKF4bhwmacYD1wn43jeKn4nU6HOp1O7fBhGFK73V4qL/A0qG3AYMM68JB0u11SStHZ2dmmRdH0ej1SSpHrukREFAQBKaUoSRIiIppMJo/K4FoHt7e3NB6PG8V5yHZrKh9vxgnWS5ZldHR0tHT8TqdDs9msdvgwDGk0Gi2dH3gaYAkJgBXp9XraqPn06dOGpblf4jhe+gkbPF263S5Np9Ol419cXOg+VESapvoB4ezsjIIgWDo/8DSAAQMAqM1wONy0CGBHefv27aZFAI+MpQyYz58/59b+TdrtdqG/jPSlkXFt/gVZlhHR3VMfn+t0Ormwcs3UTJvjE/1a+36qvgqbwvd9Xa/merRsN1MX+BoRWduSz2/Dkkwcx3r6+59//sld2/a+wG3A/g1Ed0ZMkR+JzQ+CZQnDsDS/drudky1N04W6qNIRzlvqpSy77/s5PWU/CpbbVidmXdp03YaUgWeuzHLwOU5PylHH31CGlfUg69G85vv+gu6Y/UyW2axzWa4qn5Wq8nD/qEqn1WrRfD6n0Wi00KZlbVdXVpmGnOmxlcGsK1NHZRnNuObsZdE1W1+wUaabZX3HNv5y3ckxq6iO6ujmg6AsfPnyxXZaEZEiIuW6rlJKqSiKFBEpx3EWwiilVBAEiojUdDpVSinluq4+5mtBECillHIcZ+Ea56OUUp7n5c6ZYVgWmRf/z3GjKFLT6TSXL6imSB88z8u1kazXKIpyesHtlSSJbiupK0mS6Ouc1ibbqajMSv3SY/Nnsu19wdYGHNcGpyfDRFGk4wdBkNMJCZfZrEfHcXT8Kh2RbcH5O46jPM/LlZ1l4HqT58y68zwvJ7PjOLm2qMLsB1xHXAbOg6/JsKYsJmY9c1gzDy6nrAOb/jCu6+Zkkvl4npdrf1m/Ztiq8tjatqxuZXgpt9l2sl6LZDWRfUTmw2XiayynKbdNX8raQSmV+1/qdlFfMKnSzaK+Yxt/5TkuiyxnU91clrJx18ZSBozsfPIcF8ocSIMg0BVYNIBJlhm0OX1bpdoapo4c4A6bPpgd28RxnIUbneu6C7phpmfq1mM2YKRsPOiY5dv2vtDEgFFq8SbWZKAzb1ASOcCW6Ygpn7wZK7U46JtGlXlDMuOXGWE2TL3mY3nTZ3mlQWUzxiRBENQypKTBIs/JuLIvcvmLsMln3rDrlMc07JTKjw82bAZMWduVyWpSlLfneQtGjzREXNct1FlbXMY0IkxjvKwvSJnr6Kat79QZf6UMTXRzFZoaMGv1gfn58ycREc1mM2q1Wnq9/Orqii4vL2ul0el0tHf5zc1N7bx7vZ5+G+To6EhPl8mpxqOjIz0tNp/Pa6cNFvnx40fpdVv97u/vN2rTbeLdu3dEdKf7aZqiL/wfg8GAHMfR+TVdEuSp7vPz85WcRJel3+/TZDLRx9++faPffvutdvxut0uu69KHDx+IiOj9+/cURZFO8/379/T69WsiutMNfrNN/gaDwUK6V1dXpfny0snLly8piqLa8pbpJuuPKd/t7a01fFl5uH/cF01lHQ6Huq/KJarr6+uFsIeHhzqPsn5pi8v8/PmTPM9bkK/J23tVurnOvtNENx+SlQwYOSD2ej3dsI7j5Ao5Ho/p+fPnRHQ3WMp4DK/39ft9q3f5wcFBpTz8mmsQBDSbzcj3fep2u/p6kiQ5ucDyPHv2jIjKDZnz8/OFc3t7e/cm0yaRA/Ll5SX6guD29la/fj4ajWq/xZRlGQ2HQ0qSpPGr3OtiMBiQ67r6xnZzc9NYFnmjubq60oM+1wO3y8HBAX379q1WmgcHB4U3zziOaTKZLHWDYd206SXLWdf3oao892k4N5WV+wvf6OUr4d+/fy/MY29vr9CY3N/fLzRiDg8PC9OtS5lurrvvNNHNh2RpJ14ioo8fPxIRked5RET6SWI+n+vOyQ5RvV6PHMchIqI//viDiO4q2fd9yrJMP2m+fv268umCiBYqM01T/aR5dnam8yIi/XqefBJp8sEksAg/Wfb7/dx5dgQLgoAmk0nuZjWZTJ7kWyxSfx3HocFg8OT7QhzH1pucLRzPutR5VdYGzwrwePOQhGFI/X6/8gm+DDYifN+nv/76i4juxsy///47F+709JRms1lulipNU6vBd3p6SvP5POe0aobl9rE9SBTBunl8fJw7z/l4nlfY520yFpXn9PQ0FzfLMprNZjSbzSr1kZ27q2gia6fToSzLFl4HHw6HC/WcJIl+sGDjVNY7O72/efNmofxxHFOapjQYDBbSzbKs0QxlHd1cV99popsPSpN1KF5fk05G5jqddOQji1MWFaxHyjTluq1c4zPTlTIkSZKLZ1tflfHX7Xz0lGni0Crr1Vw3NZ3Z+GeuB/O6qk2/HgpbmaVvie1n6vq29wUZhtuB49rW9s3ysq9DURmK8jJ9Vmx1YerM69evF+SV9cj+ArJO5LEtTbMebfXBeUjfARumj4Xpr2GeL9KZsvo2HTht9SbPs4+DTRdkOPM2YepPkiTWtq8qj7zGDqhl5ZW+X3XarkhWG6a+yHBmGcwxycxbXjfjSt0264z7aVH4ovoo0s2ivmO2rW38tclQ1pZVulqXe3XiBbvJpvRBDoQPDfoAUEoVGtDyvHTEBeChqKOb28ZGnXgBWDe8FAPAQ5OmqfVz9XL5ot1u0/Hx8cadGcFuUUc3d4H/bFoAACTy40lJkuQcTwF4SHq9nv5op8R1Xb033DI+MQCsSh3d3AUwAwMeFUq8GdPr9TYtDthxePNH+dulGwR4vEA3YcAAAAAAYAuBAQMAAACAraOl1OJXrL5+/boJWQAAAACww7x48aJ22EIn3iaJgKfN169fd04fdrHMAACwSZpOnmAJCQAAAABbBwwYAAAAAGwdMGAAAAAAsHXAgAEAAADA1gEDBs6+hB8AACAASURBVAAAAABbR20DptPpUKvVolartXP7LdiQ9VG1/Tt4PLRaraW3gE/TVLe57ef7/pql3Q6a9gXf9zfaZ3zfp3a7vbH8txnuA8veA9rtdqN+smldAY+b2gbMrn2iuAzf92k2m1GSJOQ4Dt3c3GxaJFADc9+QpvR6PVJKkeu6REQUBAEppShJEiIimkwmFIbhqmJuFU37gu/7NJlMHkg6O+PxGHsYLUGaptTv95eO3263aT6f1w7/GHQFPG6whLQE379/1//f3t5iMNwSLN9sXAu9Xk8bNZ8+fbqXPB4rdfpCGIb6iX08HpPneQ8mH1gfvV5PG+vLcHt7S47jlIaJ41jPkEJXQBUwYAAA90aWZTQajTYtBtgShsPhpkUAW8RSBgxv480/k3a7XegvI9fLZVybf0GWZUR0Z5XLNXYZVq6PmmlzfKK7p8C6vgoyrFmGVqulp0H7/f7S/hRPgTAMqd1u59pD1i1f930/d81sa9lO7KMi21Jer6JufJapafo24jim2WxGRET//PNP7tou94U0Teno6EhfN/1OpOzm0puUv0zGIh0z689MW9YV+1mUyVOE6Rtoq1s+x3mW6b9JlmW5sLKOpQ6b1zqdDvm+n9MXs32kbpp1LK9V1UVVeeq0I5eT6M6IMdtsHboi00jTNFcfZhnMupL1aJbRjCv7SNVYJ/WlSA9kW5h93ZTLNv5KHeK64+OyPrmOsfHeURa+fPliO62ISBGRcl1XKaVUFEWKiJTjOAthlFIqCAJFRGo6nSqllHJdVx/ztSAIlFJKOY6zcI3zUUopz/Ny58wwLIvMi//nuFEUqel0msvXxJSL4yZJosOwrPLcU8amD1xPtjaIoih3PYoiHS9Jkly7cjilfumOrFvHcXL6VUad+KZMjuNYdaGoDyj1S4/NX5E8spy71hc4D3ndJr9sI9d1c+GLZCzSMc/zcvUl43O983WWxVafdQmCIJdfkiS5+ud8+FqR/puYdSfDmnl4nqfrUOon5yuvK5XXe05L9hlOl2Xg+jXDVpVHxmW9ZJls2NpyHbrC5bLlw2Vi5Dgmj2WeLE9ZO9QZ66rGNpkXx5P1Z5NTjhsyD3lOKXvb1tXN+6Js3LWxlAFjKgyf4wo0B9IgCHRD17kZLTNoc/rmwCFl5PNlcpgDsk0WGDB3mIOJUvkOZ7subxg2g8Nm8DSp66r45nXXda0Dah0DRg6UrBOm7u96XygyYGQa8gbB4c2fDG/WT5H8Mi3ZVuZNoUyeOpg3MT6WBgKXv0r/JZ7nld7sZXnMdjT1WtZTFEWFdSZ1R/6kASblLSuPadgpdacvTQ2YdelKUd6u6y4YPdIQcRwnJ1NVXJlGk7GuSGaZvlkfjDROWA/NvmEzrKUMTXTzvmhqwKzVB+bnz59ERDSbzajVaun1zKurK7q8vKyVRqfT0WvmTd7ukQ5mR0dHeopNToEdHR3pqckib/ii83jTqB77+/ul16+vrymKIlJ3xrP+9Xo9a/hnz56tJM+q8evy7t07IrrT/TRN0ReW5MePH+Q4zoJ+NHkLkqfMj4+PSSlV6Ti6Kr1ejxzHoffv3xPR3RJ7EATaofvDhw9av5vo//X1dWm+vHQyHA4pCILa8rJu2ri8vCTXdRfkG4/H1vBl5bm6uqot0zI01ZV3797RZDJZWFa06fPBwYHW/7I3p8r6QtOxzsbJyUnuxYDv37/T77//ro95CYqIVnKwXpe8D81KBowcEHu9Hh0eHhIRLSjVeDym58+fE9GdMtjW1bgh+v2+tTMeHBxUysOvuQZBQLPZjHzfp263q68nSZKTqwl7e3uNwu8q19fXpUbM/v4+nZ+f107vx48fRLS8IbJq/LrIm8Ll5SX6wpI8e/assF7qcnx8TEEQPOjbgXyjYblPT09pPp9Tmqa59mqi//v7+4VGTBiGdHNzs9QN5vDwsPCm/Pz5c+3PVVfGsvLcp7HbVFcGg0HuswfS/+Pbt28L4dnwdRyn0Ojb29srNNSajnU2zs7OiOiXz8re3p4+l6YpjUYjmk6n+twqrEPeh2ZpJ14ioo8fPxIR6VfdXr9+TUR3AzM7QbFjGz+lEBH98ccfRHRnAPm+n3tT4fXr17Usd1Ph0jTVT5pnZ2e5py5+xTWKIn2u6ONIfMPgp2SWRXrHc+ev+yT9lOFBmuiuDWazGf3111+F4d+8eUOTySTnJBfHcc7xTT5JRFFEnuflbr5VrBq/KVJ/HcehwWCAvmChjmNst9sl13Xp+Pg4d77pRwJZ1izLGn17ZFnYYPnzzz/p7OxMl+Pt27famCWqp/8y7Gw2y9WbDCvLZbsBFzEYDIgo3+5ZluV009SJovovK8+bN29oPp9r+dM0pfl8TpPJpLI94ziuNEya6gobLObr4O/evVuo50+fPulZ1ZOTExqNRrk24jz6/f5C+cMwpCzLGrV1Eb7v0z///FM6u8QPaXxfXpZ1yPvgNFmHkmuCZFlbVmpxXdJcr5PXTKcyPi/X4kyHJZmulCFJklw8m2+GjG/6BkjkeiIV+Pzwr2oN8ylQ5QMj67ZobVzC69hFbWxzrFTql25VraHb4pt6ybIX6amtzEX+AUVpoC/ky8M+EVIuM32WRdZBkYxFOib1S+on+w/IeqsjT516YpllGxX50pTpv4mpc0U6YLa3LGNRPRXpn3mN45iysC6UlUdec1230gemqK1W1RWlFnVZhjPLYOqyGVdeN+PKe6KtbmxjUVV9FPU102HbpgMcvuyYZShqyzpj7zq4VydesJs0ceJdlbIb4UPEZ9AHgEQ64gLwUJS9IfgUaTru/ocAAAAU0mq1yHVdbKcCHpQ4jq1f9o7jOLcsucvgS7xgKXzfp9FoRPP5fOGjU8tgfsiq6Z5Cq8YHoAjV8C0oANbBYDCg3377beEjdufn59qPadfBDAxYiqLXKpel2+2utFfRqvEBAOCxse5x9qmBGRgAAAAAbB0wYAAAAACwdbSUZd7969evm5AFAAAAADvMixcvaoct9IFpkgh42nz9+nXn9GEXywwAAJuk6eQJlpAAAAAAsHXAgAEAAADA1gEDBgAAAABbBwwYAAAAAGwdMGAAAAAAsHWsbMDITxxvAt/3df68XTp4fKRpSq1W63FvzV4Bl0H+sixrFPchys/bKsRxXDuO7/sb7z+yLzeRfV1wvW1Shl2k0+lQp9NZKm4Yho3uPdzG2zwOgV8sZcDIfWaSJFmXLEvJMZlMKIoicl2X5vP5xmQBxaRpSv1+f9NirEyv1yOlFLmuS57nkVKKut1uo7i9Xu+epfy1rUKT/VLG4zHd3t7eo1R25FgyHo/JcZwHl4E5Ojoix3H0mPbz58+NybIrdDodms1mS8UNw5BGo1Ht8FmW0dHR0VJ5gcdJYwPG9/37kGMpvn37pv+/uLjAXjiPlF6vt1FD9yEIwxBPdQ3JsqzRDeg+kW3HxubZ2dnmBNoRLi4uyHXdpeKenZ1REASV4Xh2p9vt0nQ6XSov8DhpZMDwjAcA4BeP6Ua8TeBpGNw3j+mBG6yf2gaMnK4bjUbW9f84jgvXj3mtstVq5ZSq3W7n/An4mOPLNOU6abvd1lOPw+EwNxUt17FlHJmW7/v6WK79dzodrIHXxPQJMdexZX1//vxZn5e6wHUv/Q+2aSYjTVN9I+73+4V+JFwXss/I8pYNtK1WK1dnWZbljvm6lEnWo1z3l/otMf0QOp1Oro/Y+oPpDyT7NudT5CMk8zfHBDN9m3+EzQ9J1kkYhvrYHDdMPYvjWC9xzufznGxmPUvdXHbsKsMco0y/HKJ8X+Gyy3atumnLsFKusv7Mcsm6N8tk1lVRuer4rMi6lbpNlPeVqirnZDKh2Wxm1d+ivmDWQ5mfm2xzs95lGap02CyjjGumW9TWYRhSu93W9bMTxpuy8OXLl4Vz0+lUua6riEgFQaDPJ0miiEgRkfI8Tx87jqPDeJ6niEhFUaSm02kuDT7mH8ePokgFQZALy3kwLE8URfocpyPTdl13QRZOy/M8LavjOIqI1HQ6VVEUaXl2HZs+KHVXX9w23G5cX1x/DLeVrE+ua+Yx1XVRmZW6K4vUQ9azIvm5LmR5ua/Y0pNwPNmfzPy4nyiV749Jklj7F6fLbcdtw/2Ej2V/k/1Eqbu252tmn65iOp3m5JRwH+TzfMxyc14sC/dnRsoeBIFyXVeXS6bLdcbtYRu3zPGH8zJlWWbsqqofs2/IvsayyDKb/aqoLaSucT48fhb1Z6m/pp5JHSzSjyiKcvKauiTbiONy2U0ZPc/LhbXpkMQML9tM9gVOP0mSXHjZt0yCICiUy3GchfuSKTdf5/rlMpeNq0VtzXKa98Nto2zctVHbgFFKVRowtmOlfikZN5AcKGwKxZiDFx+b8piKYFNwToMHIRlGys1y8XHdQecpU6VUcoCTbSU7ktkRlbprCxnmMXW8dRowSi0OUuYgXkbZoCQNcsasa5t85g3RvImYZTRvUKZMZUaYjSoDRt5U5TEP1JwXH/N1HhNMWcyxgY/NG4V5E7YZipzGKmNXFWb7OI6zYFyZMsifOb7JMlZh68/mA4mpU2X6L41K+eO+IHVP6oX8eZ5nNezKDAylig2Yor4g+5PN8JcU5R1F0ULfln2SDWsbtrim7EVtbfbRbaSpAXPv34GR029HR0d6us72xtCzZ89yxxym3+9Tq9XSx0VTemVvDVxeXuaO9/f3rdd5CpmnlK+vrwvT3HV4Wvj8/HzBOa7OG2Fv3ryhv//+m4iK2/Sp8tdff2ldW2bZjKeJX758SVEU3ZOUxXiel3PMns1m9PLly3vP9+rqioiIJpMJtVotvaxt9v2Dg4PcMV/n5YThcJhLz0aRDt/c3CycW3XsMjk5OaFPnz4R0d2Sxrt372g+n1OappSmKR0eHhIR0Y8fP8hxHFJ3D6P6d3FxsZCmOQaalPXnMqrKdHNzQ0mSLMhoe4Pv8vKSXNddCDsej+nHjx+1ZVqW6+triqJoIX/b24Ps5G0usdruQ6wfl5eXpTpXdg9r0ta7wr0bMFJJTSWugl+pNBWq7qurkufPn9e+DuWoJssyGg6HlCQJjcdja5iq11B5UIjjmN6/f9/otd9th1915n7Q7/dr39ziOKbJZNL4Vel1Mh6PtTHQarXI87wHkYUNE/MmV/XGEN/wzRtAke6Wsbe3Vxlm1bHr9PRUGywfPnygwWBAruvShw8f6PPnz7qunz17RvP5vJbu8BhnC1unPxfBZSoykPb29nI+cFUyVr1WfZ+GzP7+Pp2fn9cOz+3qOA4Nh0P9IFLUJs+fP6eDgwOrEUx0p6dFhnOTtt4VljZgmjgI8Wty8kmxjlPbb7/9RkSkn9LNeKwEfKPkQYzPc0O7rlv5/Q15nR2qsizbDUeoFeBB6+PHj7nznufRaDTSbfDhwwciurtRy9mGk5MTSpKk9KlkmzCd8YrwfV/XQx1j3gbXbZMBd110Oh2aTqcrGQIMOyXX4dWrV0R0N5MinXCrHO5fv35NRHc3Fg6bpqnOV87AMvyKLl9jHeXZmzKqxq4qut2uNlh4Zqvf79NkMsn1FQ53fHyci28bt3q9HjmOUxq2qD9X4XkeDYfD3M2V0+33+zQajXL9PgxD642YZTTryvd9fe3t27f6PM9S1XEMrqNjb968oclkktOnOI6tM6RhGOpwt7e32mjl+5Cs5/fv3+v7EBunst7TNKU4jrVhKsvP/aNJW+8MTdah5PokrzmTsRZnHjPmNemwxOds63fmmqS5psw/uV5cJIPpjGbzK5DXt309cV0U6YPpEG3Wq+kMKtuPKfIf4fXlTTn22spsW5839djmPGnq3XQ61evgZbpornmbPhG2uv/vf/+bi3N6erqg8/KYfQRkf5Fps2+LjGPmX9Y/y9qP8zUdcovGE9PhVpZBqV86Y8pSVJ+mP4xZxqo0lx27+HyV07PNx6JIV8z2kH4iVWFt8sr/zfBF42hReW31aDqQm2N1UXuY10wnbhPTn6eqL5hx5HmTIAhyZTbb06ZrTJEu2uKaumVra1sf3Uaa+sC0lFp8/Pv69Su9ePHCPA12lF3Uh10scxPCMLQu25jni8IB1A0AJk3H3f/coywAgCdIGIa5r2DL87zEw5+Itzwf7Ty+79NkMsFXYQFYEexGDQBohPn2hfwYGPuSYWuPYsbj8dIvIwAAfoEZGABAY/B2HgBg02AGBgAAAABbBwwYAAAAAGwdMGAAAAAAsHXAgAEAAADA1gEDBgAAAABbBwwYAAAAAGwdMGAAaEin01n4Bkq73Saiuz1N5Hm5pwnv9kv06xsqvI9Ju93OfU+FybIsl17TXasBAOCpAgMGgAb4vk83Nze5XWhd16Xb21siInr79i0FQUBKKUqSRG86GMex3gSw1WqRUoqiKKLJZEKtVov+/fdf/eE3uZno8fGxziuKoka7VgMAwFMGBgwADbi+vtY7DRPd7abNu58T3e1Ke3Z2RnEcU7/f1+cHg4HejZ0NFd4hOUkS/VVW3tGW6G4H2/l8rmdf2ABqulMwAAA8RWDAANCAfr9Pk8lEH3/79i1n0PAy0fn5+cp73VxdXenZHPkbDAYrpQsAAE8BGDAANGAwGJDrunpW5ObmhsbjMRHdLfkMh0NKkkSfW4WDgwPrpokAAABgwADQiDAMqd/v69kQ9n2RXF5eEtHqSz2np6c0m820TwwRaX8aAADYeZSFL1++2E6DHWUX9aGozJ7nKSJa+AVBsHBd/u84Ti58FEWlx57nKaWUSpIkd951XS2LeQwAANtM03sNdqMGoAEHBwfaCVfCsyRNlo5MXxabb0uv16Ner2eNb5MDAAB2BSwhAVCTNE1pNBpZzwMAAHhYMAMDQE16vR59/vx54WNzruvSxcXFhqQCAIDdBDMwADTg7Oxs4bVmGC8AAPDwwIABAAAAwNYBAwYAAAAAWwcMGAAAAABsHTBgAAAAALB1tJTlYxJfv37dhCwAAAAA2GFevHhRO2zha9RNEgFPm69fv+6cPuximQEAYJM0nTzBEhIAAAAAtg4YMAAAAADYOmDAAAAAAGDrgAEDAAAAgK0DBkwBrVZL/+6DTqej0+90OveSB1ik1WpRHMdrS8/3/Z1ovyzLtL622+17yUP2Od7du4x2u10r3H3RbrfJ9/2N5b/NxHFMrVaLsixrHJd1sUk/3rSugPsBBkwBSZIUXlu1I/i+T7PZjJIkIcdx6ObmZqX0QD3uwxidTCY0m82WGoi3iW63S1EUWa+labryjtxsFE2nUyIiurq6qgw/n89XynNVbm9vaTweb1SGbSSOYxoOh0vFzbKMjo6OGsV5DLoC7gcYMA1ZxxPX9+/f9f+3t7d0e3u7cpqgGssnj1ZCPgG+f/9+rWlvE2/fvl0pfpZl+gbT7XZJKWU1DHzf14bi7e0tOY6zUr5gMwwGg0JjuIput6uN3DKgK7sBDJgGhGFIk8lk02KAR8L5+Tm5rktERKPRaMPSbIZOp/MgT7dpmqLvgVpAV3aHRgYMr1sW+YdIv46y9U25ns6/siloMz8zjpRL+iOY8vLST7vdzqUh5S6SIwxDfZMajUal5QvDsLBsrVZLD/j9fn+t/hgPTRiG1G63KU1TXVY5Q8XXfd/PXZPhzXrktW3ZJk2WZ+rGZ5lWWYc/ODigfr+vz9naUpazzHekqm9JZP11Op3csa18csnT1E2W2WwP2UeK6qfT6dBsNiOiO10uK585NsiyyCUBW35xHOt6Pjo6WvA5kmUy+6+trEXy+b6vyx3H8cI4ZZbPrFv2syiTpwizbmR9sdx8jvOU+VT5JZn6JetYtnVRfyzqL2YdmXVct/6ryiN1vGy28yF0hdPodDoUhmGuPsz+ZeqyrEezjGZcs1y2a1z/Mq4N2z1X6pKUyyw/9w0pAy8b28b9MnnXjrLw5csX22lFRIqjeJ6niEh5nqeUUiqKIkVEajqdKqWUcl1X/2/iuq4iIpUkiY7nOI41rFJKJUmi8+Z4/DcIAkVEKggCLSPLJM9HUaT/n06nubRk2fhY5slxWG5Ox4YpD9cTp6uUUo7jLJx7zNj0gctJRMp1XaXULx3guubrURTpeEmS6PAyHaXUQhsrdVdXZbohqRPflMlxHGt7FvUBKTfrt1kPjOd5ubzLylHWt4ryl/nKepT9i/U4iiKt91z2IAj0/1Lfp9Npro9wOc2+autHNqQ8XA9y6JHpFMHyyTGF0+H2c103V2cyPTlmFMlnpi/TM+uOw3PeLIspj6kTZXA7MkEQ5HSGx0u+JsOW5cXtZgtr5uE4Tm78tPUXs064TqUOcnwpuwxr3i/KymO2PfcPOa5I7lNX+D5gyycIglwbsJxSbnldylPWDlEU5WTlcUX2myo9k3nJMcFWDjluyb7BMvA5c9yX44RN3jpUjbsL5Vo2EXOQNQfAujQ1YMy0TWNADo6m0jLLGDBKqVoGjCkPd2qpYE/BgFFqsdMpVT44KvVLb8yfbAfT4GlSV1XxzevmQFZVZlkOW5mkfnLb1+28Znp1DBgzbdMY4GNuE5tRqdRyBoxMr6h9bMaJ2Y9WMWBkX5Q3CJbV/BX13SI9MOtG1puZXpk8dTD7C7exHEtkXrby2XAcp/BmLzFvVHyuqL94nldYZ1X1b970yspjGnamMWlyn7pSlretH7AhwvGK7o1lfUgaEfIn+2nZ+GgLU/TgxnlJPTT7hs2wlmUrk7eKpgbMUj4w7XZbrzFeX18TEVGv19Nv7tim7mz4vq+90euuo3e73dyxXI6RyzNZlmnnraoln3VSVI5dedNof3+/9Pr19TVFUUTqznjWv16vZw3/7NmzleRZNb6NOI5pMpno6VG53i6nt8/OzigIAprP5wvLDUXY+lYZe3t7ueMfP37o/1utll6eYf1T/+fIPBwO73dq1yKPSdWbRqvw8+dP8jxvQc/Ozs5qp8FT5Kyv983p6SnN5/Pc0obruvThwwciytfXfD6n6XS6UD4bVWMr67FSSvt01aFMP5vWf1l57nvsbCJrt9slz/N0/+H7XNG9ZW9vj66vr0v7QdV96ebmhpIkWZDPvBcW0e12c3rETvOvXr3SYXh5cjgcUhAEtdK9L3mb0MiA4XWyf/75hzzPW7je6/VIKUVBENBsNit8Y4fXxw4ODpb2RmfYu9y8KXJl3d7eaq91HszvoyKrMG80T5Xr6+tSI2Z/f5/Oz89rp8cdf1lDZNX4Nmydk/Xw06dPubBnZ2f6xjAajQrX1qv6Vl1kOeUNQb7pppTSDxu8Dn8fhl4VBwcH95b24eFh7m2/Zej3+xRFEV1cXKxJqnLkjSaOY3r16hX1+32aTCaUZRm9fPlSh3Uchz5+/FgrXcdx6OfPn9ZrnU5H37ybsr+/X2jENK3/qvLcp7HbVNbxeFx4n/v8+fNC+P39fd2/bIYM348uLy+t+e3t7VnTbcL//vc//dB1dHREQRDoh8YwDOnm5qb0QbIJ65C3LrUNGOnZ3ev1FhSXnWGJ7gbtstfWeNbl1atXhR2rLr/99hsREf3999/6HMvRbrcpyzLqdrulVuUy37AoMs44H1ZG7njyuwf8RFSksNuEfGJM05Rmsxn99ddfheHfvHlDk8kkdyOP4zjXBvIbPFEUked5jYzOVeOXEYYh/f777wvn3717R0R39SGdLPn///3vf4VpVvWtJnS7Xd33/vzzT32e+wTPuvR6vVJDqe7NUWLrE71eTz/V85MmP1HzE64c1OvMktaZyRoMBjSfz3MyZVnW+BtOPD6t+p2buvT7ffr+/Tv9/PmTer0eDQYDIiI6Pj6m169f63AnJyc0HA5z9VU0Jp2cnNBoNMqVQYaV+sZO2XV48+YNzWazXJ1yX25a/2XlOTk5oclkouXnWc7hcFjLMbiKJrJmWZa7z/F4zzMzsp6zLNPjIRun0ulflpFndWzl7/f7C+1nOg9XcXx8XDq7JGfpvn37VjtdG+uQtzZN1qFIrGfJdf8gCFSSJLlzZev+pmMQ/1+0XizztYUx/Sp4rY+dh8zzSi06Qcr4RXkWrYWbyLTNfOX5qnQeC1U+MLL+ZN2bdcqYa87mmnuRTvBabplvSFF86WfBOit1w9QrW5mL9Ntsb5YhCIJcnCq5i/qWienUbgtj+hTYykDGurRZb7KsZv1xWWTZy9a4bX3MVpaydGSfMWUx5VVqsc2LxqQiPTDHCOlTZ9Z/lTxczip/KJuPRZEvjdmWTcYkm/O21D1Tf4r6iy2+WRaz/s32M51zbeUx+1FVee9LV6bTael9rqx/KbXYD4r6H1Hx/Yrbw6z7OvVR1NeKxh+zzW1tZJPZJq9s+yJZH8yJF+wOTZx4V6WqI953fAZ9ANwHZS8AAHBfFOndY9PHB3HiBQAAUB92CAbgofF93+pD5Ps+nZ6ebkCi9QEDBiyF7/s0Go30Gzarwh9aIrpb227qq7BqfADuE37BoclbUACsg/F4TN+/f1/4iN3Lly838kLLOvnPpgUA28m6N7HjPXA2FR8AAJ4qT3W/PczAAAAAAGDrgAEDAAAAgK0DBgwAAAAAto6WsjgOfP36dROyAAAAAGCHefHiRe2whU68TRIBT5uvX7/unD7sYpkBAGCTNJ08wRISAAAAALYOGDAAAAAA2DpgwAAAAABg64ABAwAAAICtAwYMAAAAALYOGDBgp2i1WhTH8drS832fOp3O2tID20en09H7y9TRhU3rjO/71G63N5b/NsObcqZpulT8drtNvu/XDr9pXXnswIABO8N97AY8mUxoNptRlmVrTxs8fnzfp9lsRkmSkOM4dHNzUxl+Mpk8kHR2xuPxk90b5z5J05T6/f7S8dvtNs3n89rhH4OuPHZgwICdYd2bPcqZnPfv3681bbAdfP/+Xf9/e3trNQzCMNRP7OPxmDzPezD5wPro9XqUJMnS8W9vb8lxnNIwcRzrcQW6Ug0MGACW5Pz8nFzXJSKi0Wi0YWnAYyTLMugGqM1wONy0fiymPAAAIABJREFUCFtFIwMmjmO91ss/iVwLbrVahdPqWZYtpFO1phiGYWH4smvyvJQ/DMPC+PLJmtc8W63WwrqxWY40TanT6ej8zbpot9vWupFyyfVOGV6GMddQzXapK/+qhGFI7XY7l4eUja/7vp+7JsObdcHyS11qsjxTNz7L1DR9JssyOjg4yE0p23xrZDnL6r+qb9kw+1uda7LuO51Orh5kvynry7K/mLpoa9t2u01Zli3oouw/Zt1IubivmuGlHGbdy/hN5DepGlt4SaDf7y/IkKYpHR0d6etmGWV9yPHIrP8yGYv6WNU4LccZ9rMok6cIKWeapta65XOcZ1n/NzHHWFnHZhvLa6zbsl+Z7SPHV7OO69Z/nfLUSYfLSXRnxJhttg5deZIoC1++fLGdVkSkOIrneYqIlOd5SimloihSRKSm06lSSinXdfX/Jq7rKiJSSZLoeI7jWMMqpVQQBIqIVBRFKkkSRUTKdd3ctSAIcnIlSaKUUjo8yyqPlVJqOp3qtDk9/p9l4zI6jqPz5Xgst0zXlvd0OtVxZD2Z8sv8ZHiuTzM+yxgEwYJMZfI3waYPLLdsC84viqLcda5PrhMpA4fjspt16DhOqW5I6sQ3ZXIcR9d9VZnN8nMbmPXAeJ6Xy7usHGV9ywb3oel0uqBDsn9xvrKrm23Dx2Y72voyyxZFkdY3ztfsm5yOTd9NHZV1I+XnNM0+yfna4ssxwOwDZfKbVI0tsm7lOQnnIa9zOnIMM8svwxfJWNTHPM/L6aJNN/g6y2IbU+sSBEEuP24zOf5z/Zf1fxOz7mRYMw/Z17iMZrubfdHUW86nrP7NsFXlseluWb+2teU6dGVbqBp3TRoZMBJzkDVv1nWpY8CUpWsOIOZgbBos5rFMXyqOUr86Ap+XNw0uPyuLNC6aGDCm/PJmY4avE7+u/E0o0gezM3EeRZ1NqfyAaTM4bAZP2Q3CpCq+ed11XeuAUtUHZBxZJlm35s26LlUGDJfJlq7UEYbbnXXV7CNlfcbUFfO8lMPUN1s6VQaMKT8fm0ZR3fgmZfKbVI0ttjBF7WEaMDINLoMpv/wVPXjY+piZt3lTk320Sp46mMYEH8ubPpe/qv9LPM8rvdnL8pjtaPZrWU9RFNWqM1v9m+NJWXlMw06pO31pasCsS1e2gaYGzFI+MO12W3tHX19fE1Heweno6Kj264S85lfknV01vV8Ur+ptAIn6P+dOc+qO0+Dzs9mMiIh+/PihnfcODw9r52NDTkHLKem6yxplXu1l8t8X+/v7pdevr68piiJSd8az/vV6PWv4Z8+erSTPqvFtxHFMk8lET9vKNwWkM+/Z2RkFQUDz+bz2tLytb5lcXl4Wxi9r26urq8r8iYr7stTJo6Mj3VdYB1m/nj9/XisfG1L+Vqull2Dq9uey8lfJb7KOsaUpP378IMdxFvrHxcVF7TR4OeL4+JiUUpWOo6vS6/XIcRyt+58/f6YgCOjTp09ERPThwwfdv5v0/yL9Z3jpZDgcUhAEteX9+fNn4bWm9V9Wnrr9bVnWoSvbTiMDhtcc//nnH6t3dK/XI6UUBUFAs9mscD2O1yUPDg4oiqLSPLvdrv7/48ePtWXd29urHZbozojhQZvXqjmNIAhq3WxN6tw8eXAxO4Esd534nz9/Xri2qvzLcH19XWrE7O/v0/n5ee30+Ia0rCGyanwbSZIsDBrcDjxoM2dnZ6SUItd1aTQaFX6DpqpvSdhAmM/njfx3Dg4Oaoe19WWpk2Yd1KXK4JftNJ1Odfp1X/uV8U2/unXIT9R8bGnCs2fPGreryfHxMQVB8KCvSp+cnNCnT5+03KenpzSfzylN05zeNen/+/v7hUZMGIZ0c3Oz1Hh2eHhYaJw2rf+q8tynsbsOXdl2ahswaZrqJ8Ner7egWOzASnQ3aJdZ/Tzr8urVq1JrmOEBXXpoc15sefNTKVu9Tby5+Ums1+vlbh6///47EeXfMPF9n7Iso5OTEyIibfTUmdWwGWC//fYbERH9/fff+lyTDxexHKPRSCsyxy+Tf13wIEV0pwOz2Yz++uuvwvBv3ryhyWSSu5HHcZy72chXFaMoIs/zaht064hfRhiGul4l7969I6K7+uCZljAM9f//+9//CtOs6lsm/MRLRPTHH38Q0d1Tt+/71Ov19JtR3M48iJ6dndUoYXlf5rTlgweH5b7z4cMHIiqfKWLMwb/b7er8/vzzz4U8quh2u1rGt2/fLsQvk9+kztjCN8I6Za0zA8fyHx8f5843dc5kWbMsa/TtkWVhg+XPP/+ks7MzXY63b9/mjNY6/V+Gnc1muXqTYWW5vn37VlvWwWBARPl2z7KMwjBsXP9l5Xnz5k1uPEjTlObzOU0mk8r2jOO4cpxel65sNU3WoUiss8m1vyAIVJIkuXNl6/6mkxXVWLuTcajA14BocT2VjLVB81ipxXXMsrRtDlZcXlv+Zvls9WPmb/rDcHjzuCp+lfx1qfKBkeUqWhuWSEdM1gGmTCd4zbdqDdkW31wvZtmLdM9W5iL9NuuYZQiCIBenSu6ivlUnjs0XyVb/0i/F1ifq9OWyvmjquC2MWe+2+pFhWH6zDU05quLXkd+k7thS1rdYFvaJkPVjpm/6tpXJWNTHZP+S/ZP9KWT91ZGnTj2xzLINinxpyvq/iamv5lhh6zOmfhXVU1n/sdW/KQvrQll55DXXdSt9YIraalVd2RYezIkX5LE58T4VmjjxrkrZjeAh4jPoA6uzrGM/eHxIR1wA7oum4+5/CAAAACig1WqR67o75RwKtgN8iXcNyA9WEdFK+2VsC77v02g00m/YrIr5Iae6H9JaV3ywXuI4zvUDc50ebA9qx95sAdtDS6lFF/yvX7/SixcvNiEPeITsoj7sYpkBAGCTNB13MQMDAAAAgK0DBgwAAAAAto61GzBlm28BAAAAAKyDtRswR0dH5DiO/phYnQ/VAQAAAAA0Ya2vUcuvKfZ6vXv9ZD0AAAAAdhf4wAAAAABg62hswLTbbe3fwpseEuW/+7Cub4MA8NhI01Trf5qmOR8vec3m/8WbmPJP7nVixpWzmeY1GY93ubZdk8h+yz/eC8aUS+6lEoYhtdvtnG8bf2PHNg5UyQsAAGujyed8ec8F/iw4GXtI8KfD1/15ebBZdvGz+mV9gCGxbQHrPsN7oPB1c18Y3odGxuV+5XmezidJktw+TbwfCudfp7/JvDieuaeMKed0Os3tvcJ5yHNK/dpCQ9ZDkbwAAFDGve2FZDNO2KAxB3EYME8LGDC/KNqMzXXdhY0XpSHiOE7hHk22uDINNhjkj/elkf2vCN4ITqZp2zhVGidsTJn7XZnGlilDlbwAAFBE03tN7SWksu3i8aYR2BXevXtHk8lEL48wNzc3C2EPDg5oPp8TEem/Nmxxmevra4qiiNTdw4b+NXGQPzk5oU+fPunj79+/0++//66PeQmKiPTbg8uyDnkBAKAOa3HiPTw8XEcyADx6BoMBKaX0jV76f3z79m0hvOM4+m+Rob+3t0dXV1fWa/v7+3R+fr6SzGdnZ0T0y2dlb29Pn0vTlEajEU2nU31uFdYhLwAA1KG2ATMYDMhxnNyT5Hw+J8dxaDAYENGvWZqyp00Athk2WHq9Xm624t27dzSbzXKbSH769InevXtHRHezIKPRKOecy86y/X6fJpNJzuk3DEPKsozevHmzcC2O41w6Vfi+T//884+eDbFtzPfjxw8iIvr8+XPtdG2sQ14AAKhF03Uo9nshw9eFnf/kDzwN4APzC+knQoYviNkHTN8UM668bsaVPivmNc/ztPOsLbyJ67pWvxTOX16XPiyyr3P4smOWwSavUr8cfm0+RAAA0PReg92oQSW7qA9PqcxhGFqXh4rOAwDAJsBu1AAATRzHOQdeeR6+awCAbWatWwkAAB4Xg8GAzs/PFz4s6XkejcfjDUkFAACrAwMGgCcODBUAwFMES0gAAAAA2DpgwAAAAABg64ABAwAAAICto/A1agAAAACAh6TJa9SFTrxP5RsYYHWe0jdR6rKLZQYAgE3SdPIES0gAAAAA2DpgwAAAAABg64ABAwAAAICtAwYMAAAAALYOGDAAAAAA2DpgwNwjrVZL/3adNE2p1WpRmqabFmVpuAzyl2VZo7gPUf4sy6jValEcx7Xj+L5P7Xb7HqUqxqxTltv3/Y3Isw34vr9QX6AZrVaLwjBcKm7T/hLHMe4D9wAMmDUjO0SSJJsT5BGRpin1+/1Ni7EyvV6PlFLkui55nkdKKep2u43i9nq9e5aSqNvtklKKBoNB7Tjj8Zhub2/vUapFwjDUg/p0OiWlFCml9OaT19fXDyrPYyeOY20wj8djchxnwxJtL6sYE77v02QyqR0+jmMaDodL5weKgQGzRsIwpKurq02L8ejo9XpP3pgLw3CrZ5cemjiOaTQaEdGd8SINwfF4TFEUbUq0RwtuguvD8v3W2ozHY/I8rzRMlmV6BnEwGECf7wkYMGtCDshgt8iyDG3fkL///puIiFzXtc5iDQYD2t/ff2ixHi2bWt4Dy/HHH39sWoSdoLEB0+l0Cn07iq5J34FOp5Nbv5VPrWZ86V/A082tVmthbdz0TciyjNrtNmVZlrvG5+SxRMrFS0FmeCkHrz3LKcLJZGL1dZDpyDJwmTudTtOm2DhmvZtl4HXfVqtFnz9/1udlHXIbyPrZppmMNE3p6OiIiIj6/X7hjYbrQuq0LG+Zvwfro9RveWyu5Zv+Nly3aZrm+pik0+nk2o/7qWxD09fC9F2x9c2iOpvP50RE9PvvvxeGG4/HC2WylVeWScory2PGN+Us82tqt9u5fPlny7vIN8Xs/4wZ3jY2tdttXV9HR0fWsUKmw2WQZa7qU1KfeDbRlEWes9VblS+OrEdZ/7Lc5rUwDBfGbbPtZNnN/mcba8ooKw+3dVU67XabZrNZ4b2gaLxsImvZ2FGm56YelvVp0z/I7AcMjxV8/UF9spSFL1++2E4r13UVEanpdKqCIFBEpIIgyF1LkkQppZTjOEomz+GJSEVRpI9d11VKKRVFkU6b0+P/Pc/T8abTaS7fJEms6ci0OC/HcXJh+NiUn9OMomghzSAIFuJPp1Mto+d5Ok1Oh+uBZTerXcZ5jBTpg+M4C+3A7c91xJj6oZTKtRGn8VgoKrNSd2WRbcbtWiS/TSc9z9PhzfQkHE/qqpkf67dSeZ1LkiSnczKOre9yH+Jjqc+e5+VkcBxHXzP7ZBVmf6qiqI/LuGY9meWV8iZJsiA7x+N+LMsp280mtxzXZBw+NuV3XXehLuW4UBTf7C9mOJZdyhZFUe1+xflIZPqch7xmxi3Kq2yssI218h5jG7tlP+J65bQ4nyAIcnXhum5h2KryyD5q6owNs09LnZfpy3tUmaySsrFDysxymnLbxg2Oa2sHpe7aj//ndKIoyo0VUjeXpWzctVHbgOEKtzWa7cbMBZPKJDuxeVzUSZVSC+elHJxPWWevMmBM+fnYHDDLDKA6BoyUhcOxUfaYqVIq2TnlDUMOfLYBzvO8XBj5/6ZZpwGjlH3gLRsAJeZNRMJ6Vzb42uSTNxQukxwwzTIGQZCT15SpzAgzaWrAmDdmW7+yGWjmDcjsn1wueZ6PoyjScsp6YaOhiQFjys/H5sNeUXw5PpUZMFIWOfY1wZaeLD+nJ9tQ/mz5RVFUS9elwSLll3HljZ/rpWj8lIah/Mmy1SmPzbCr6r9FBgxj9skqWevkHQTBgtEjxx3P8wr7qC0uI/ub/HFaTfp+FU0NmNpLSJeXl4XXfvz4UXitrlOrdPSU06RyOvfo6EhPX/KU6mw2IyKi58+f18rHhpS/1WrpJYGbm5ul0yzi7OyMiO6WmrIso58/f9Z+k+WxwVO/5+fnNJ1Oc9e4fcp48+aN9oWo+zryU+Gvv/6i+Xy+9LIZT5u/fPlyIw6CnuflHLNnsxm9fPmyVtzXr1/r/799+1YZvuxtpLp6c3FxQa7rLkzr8/jE59mX6efPn3R+fk5EtLIvDss/Go2o1WrpN1jKxtRlCYKAiIj+/PNPStOUXr161Si+bNc4jimKIprNZpRlGcVxrNP7+fOnfhNP/nh8k/z8+bM0T/k2WhNn/7L7DtHdGCTfbuOfjbLy3Ec7rSJr0dhhu9fyffHHjx+l/ajsPn15eUmu6y7IJpd4N0VtA4YrYj6fN7rZHBwc1A7Lr5oGQUCz2Yx838/d3JMkqWxcG4eHh6XXnz17pv+XSnRfr5XyIHN8fNx4gHksZFlGw+GQkiQpVOSqgYtfKY7jmN6/f9/otd9th191Zj3u9/u1+1UcxzSZTBq/Kr1OxuMxzWYzPYh6nldblm63q9/i4JujjTpr6U2M/4uLi4X65vHJHKBtN+Iiql5nZgPIvEHeR9vJB6QPHz40fm3/zZs3uk3Oz89pMBiQ4zj0/v17+vnzp07v8PCQvn//XivNw8PDwgeaNE1pNBrRdDptVOdEv8btIkPGcRz6+PFjbRmrynOfD1lNZC0bO/iB3uTZs2e0v79faMQcHBwUPrA/f/68MN1NU9uA6fV6uqOyhzW/Ktbr9ch1XX2O6NfsRV2lZAdDjiMHBU5bPmlyWB4IP3z4QET1nmr4yYrpdrs6vz///HMhj6aEYViq7LJOHuK7IPcJ17fZ+TzPo9FopOuB26ff7+dmG05OTihJkifz+nndD2P5vq/roYkxLuG6NfX5Ieh0Ojljv+nT2Hg81v2aZzwZdjTkmRp2kGcdYZ3jB4G68nJ9y3GEHyBms5m+HscxxXFMb968ISLKffOjamYxy7KFMDwzxbOuRKu9dl/lKM31UndGTMLj/J9//qnLf3JyQp8+fcr10cFgQPP5PCcLO5ebsKEmx1MzLBsh0tm/im63S67rLnxjimU6OTmh4XCYG4uL6q6sPCy/fLNoMpnQfD6vdLblmasqmshaNHb89ddfRJSv5w8fPpDnedTtdrVxKus9jmNK05ROT08Xyp+mKcVxrHXCvB8+ig9NNl2HIrEGZq7DSYcembS5hmaG43VGuZ5flbZc95TX5Fqibb3YzF+u3ZnrkErl159tspsOUlwes67M9UXT/+MxU6QPsr3k/1wus57J4idS5D/C6+Gbcuwt8wOz6aHNN4Ix19fZQVHWj00XTN2TaUtdlXX/3//+Nxfn9PQ0d2zKwk6QUk/NviLT535RtGYv1/Tr+D3Y6tQWzwxn+u+U9VGl1EI5bf5ZtjHBrC9bO8swXG5TP8x0TH+YItnNFxlkeYrGw+l0aq1D01+wCNPHoqiPmvpZ1d5FYW3jhDmW23TX9G+y1YVZT1x2W1uUlce8VuUDI/0upW+PrRymr1TZmMBpF+myTU5Jma7b7nVF7WcbB4p8aJpwb06820KZM/Bjoqlz3SbZZn1Yll0scxOK9Heb9HoZygzVx0SZfI9ddrC73JsTL1gd/o7ArjmsgqdFGIZW59swDLfWp2vb4W+0hGFIvu9bl+55/GnqawLAY+VJGTBxHOfWQ4+PjzcozSLszHd8fIxBBGwtrLvmR+yItt+nq4xWq6X9W0aj0aP64CI7tI5Go0LfF+nEDMBT4D+bFmCdDAaDR/0my2N47QyAdXBxcbFpER6cx3zz5zdTANglntQMDAAAAAB2AxgwAAAAANg6YMAAAAAAYOuAAQMAAACArQMGDAAAAAC2DhgwAAAAANg6YMAA0BD+IJj88Z4o/EEx/sn9Q3j3bqJf31Dh/UTa7XbueyoM7wu07K7VAADwVIEBA0ADfN+nm5sbvYmh4zjkuq7eufzt27cUBAEppShJEr1JYBzHelPCVqtFSimKoogmkwm1Wi36999/9Xc8eLO1LMvo+PhY5xVFUaNdqwEA4CkDAwaABlxfX9Nvv/2mj09OTnLb0N/e3tLZ2dnCV6EHg4HeBZkNFd5tOUkS6na7RES5Xdjfv39P8/lcz76wAWTu/A0AALsIDBgAGtDv92kymejjb9++5QwaXiY6Pz+n6XS6Ul5XV1d6Nkf+HvPXpgEA4KGAAQNAAwaDAbmuq2dFbm5u9BYRWZbRcDikJEnWsm3EwcGBddNEAAAAMGAAaEQYhtTv9/VsCPu+SC4vL4lo9aWe09NTms1m2ieGiLQ/DQAA7DzKwpcvX2ynwY6yi/pQVGbP8xQRLfyCIFi4Lv93HCcXPoqi0mPP85RSSiVJkjvvuq6WxTwGAIBtpum95kntRg3AfXNwcGDd9ZdnSZosHZm+LDbfll6vR71ezxrfJgcAAOwKWEICoCZpmtJoNLKeBwAA8LBgBgaAmvR6Pfr8+fPCx+Zc16WLi4sNSQUAALsJZmAAaMDZ2dnCa80wXgAA4OGBAQMAAACArQMGDAAAAAC2DhgwAAAAANg6WsryLubXr183IQsAAAAAdpgXL17UDlv4FlKTRMDT5uvXrzunD7tYZgAA2CRNJ0+whAQAAACArQMGDAAAAAC2DhgwAAAAANg6YMAA8P+3d/asjTtNAB/B8w1kAinSpIiRO6e7KiBxxUHaw4YrrOqag8s3sJGqK665NlVcHMh1AikOG9LcdRbXxPiKa64whPgz7L/IM8povKsXS47jZH7gQtK+zO7M7o60I1kQBEHYOcSBEQRBEARh51jbgfE8DyzLAsuyoNVq1SmTIGwMy7IgDMO18vq+n9i87rerf+oYx/FW5cf619XLa6fVaq09B6NNF2XbtiIIlLUdmPF4DK7r1imLkTiOZXITKlNmotaB/4OEuK6b/B8SAEC3230SZ340GtW2gMRxDMfHx7WUtS7tdhuUUtDv97cqxy7SarVgNputldf3fe2/q5t4DrYiCJSd2EL68OHDtkUQXgCabzbWRhRFAAAwm83A9/2N1QMA8OnTp8ploKPVbrdhOp1WLk/YDre3t+A4zlp5Ly4uoNfr5aYTWxGeK8/egfE8b+07DEF4KjqdDti2DQAAV1dXG6un1WrBcrmsVIbneTVJI7x0xFaE50xpB4bu+XNoXIzv+6mYAX5XSsuJ41hbl+d5MJlMAABgMBik6qR1ZZUhbA7f96HRaMBoNEr0QCc8vI66wms0PdcdxkK0Wq21dFs0P7Wfumxnb28PAACWyyXEcZySIQzDVJ18S7SILdPtgm63C41GI3Uta2zSdJPJBGazmVYOWg4lS2cUjJGgYx9gNX6IzgdYNm6L4XEcx9BoNMCyrFRbswjDMGWLKA+VhZ7DdtB25y3aVI9ULt5HdDsR5QIA7XVdH5naVWQrFPtNN/dS+bPYtK3QMnzfX+l32gbd1qzJnnheXq5J16b5isN1wWPgaN20/TR+CGVA+6E64dvDZWzz1aE0/Pz5U3da2batAEBFUaT+/x9KCgCU4zgraXq9nlJKKcdxUsfT6VQBgLJtWymllOu6yiCGmk6nSXlBECTnMQ+ewzqm06m2HKEaOnvo9Xor+g+CINELvU51F0VRyl4wnVKP9kRtzLbtxFbyKJKfy2TbdmKbeW3mZbiumzqPdkltUVcfPS47Hnj7lHq0f9pmUxlYB9WBrlwqY5bOTPLpyseyaf4oilJ102PsR8xP7SgLTE/nA65nqjvHcVL9SecrDu87mpbWge2IoigZF/jj17FPqJ3atp3IGARBSl7XdVNpHcdZmYOx7bzvdPJvw1awXdhfuvZTfXObonVi/2KbTXrAvtLp2jRfcXR6o3Wb9Ej7DfPTc3Qto+0sY5svgax5V0dhBwYVR5WDk20ZBwYVjgMSj01Go3Ng+CKBcvAFRagHk1HxwapUegDqrtNFXudw6BwevmBnkZefX3ccR2s3T+XAlB0PvL/oJEjbVGYR5g4Gyon583RG0ZVl6iOE6wiPqQNSxoHh8uMxtUV+Q8V/tH942/JulKjDgm3Cc7wsapemPkN98h/KQcccdwCprerkz3IwlNqsrXDHg57n8wa1kV6vp9WPKS+X3aRr3XxlkjmrPxA+T+T1nVLp/i5jmy+Fsg5M4S2k+XxeNGkm//79AwCAyWQClmUlUfB///4tlD/rceRisaguoFCJ/f39zOuLxQKCIEje3sFfp9PRpj86OqokT9X8Zfj9+zcAANi2De12u1CequPhz58/uWVXpazOdOAj8pOTEwiCoBa5sjg9PU1ikUajEXz+/BmWy2XyBtfh4SEAPPSfbdsrbbu9vV0pM6uvAR63Fm5ubkoFu+ZtYd7d3UEURSsy6mxsPp+D4zgracfjca78dVDGVvr9Pti2DcfHx6ltIJ3t4ziez+eZdp01bsro2gS+KYfbaZeXlwAAqfbhdo9Sau0A67rkfekUdmCazSYAQG4AIcYBmDg4OAAAWBlkFxcXRUUxkrd4CptnsVhk6mF/fx9ubm4Kl4eT7rqOSNX8RYnjOBkbp6enyXkM7DWxyfGAZVelrM44YRjCZDJ50lelz87OEofl/Pwc+v0+OI4D5+fncH19nchxdHSUxCzlgTakcwTiOIbBYABRFMF4PC4lKzoippvEvb09uL6+LlRWs9nMfelhk45MWVu5v79PFvrhcJg4BiadNJtNODg4gLu7O215h4eHxjWqjK6zCIIgiclEnSOtViv5vEJV6pL3JVPYgaEeJgYZ4R1nFnwwvXv3LjmP5YRhWOg7L57nQbvdTr4/gwMRn7x8/fo1twyhXnCRAHiwi9lslqmHjx8/wmQySek7DMNU4BqdEIIgANd1Cz/RqCP/Orx9+xYAHhwRk/NBnRyk6njodDrJXR5OdDi5F3GCirzyXURnRUD5qjhDRWm324nDcnJyAgAPgc+TySR1B4/pUH+ILlgS03a7XWNadELwzrworuvCYDBILVZYbrfbheFwmOpv3/e1Cxu+DceDXtFWbNtOvYaPT6mKBAbXbSthGCZl0tfB0W6pTr59+waO40Cn00mcU9rvo9EIwjBMHFPa/jiOwff9Uro2EcfxytMw/nSJ7gRUeYO2DnlfPGX2ofieHN2b5UFTujR8jxvYHqEO3X6yUqt7rRLAuzn2fnE2AAABsklEQVTyYmB0Oub6ofCgRqp/PAbNfi/aX5a9mPJz20XZdfWY2kwD/XQ/nQ3StmIcBk9fZjxQGWh9PE4iCz6maD6TbrJ0hujKQmi7qX6+fPmSyvP+/ftMeXq9XpI/L5hRF9/B5dLJlzef8L7msXi8jbxs3iYaYEvP0/mO2x6PMeQ2zG2T9wGX08SmbAXT8T4zycnHp24tMuXlcS06XWfNVxRTjBHWoRvLuvS6PqK65IHAWfb2kta+sjEwllKrz7p+/foFb9684aeFV4rJHnzfh6urK7i/v6+tLsuyIAiCtbcaquZHZAw8f3zfr2WrTRCKEscxXF5erswv+ISpTFyYsErZeffZf8hOEASBggHBZ2dn2xZFeGXw7RwkCAJxXraAODDCWnieB8PhEJbLZeX/GAJ4/MgTwMNHC8t+jr9qfmF3GI/HxrdwBGGT/PjxIwngpb/v379vW7RXyf+2LYCwm5R90yIP/EO/beUXBEHIQ+aZ54U8gREEQRAEYecQB0YQBEEQhJ3D+BaSIAiCIAjCU1LmLSStAyMIgiAIgvCckS0kQRAEQRB2DnFgBEEQBEHYOf4D7sgZ6gd8NsUAAAAASUVORK5CYII=
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
iVBORw0KGgoAAAANSUhEUgAAA8oAAAJ5CAYAAAB2RslbAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAB3RJTUUH4AUaBS8axGGKVQAAAAd0RVh0QXV0aG9yAKmuzEgAAAAMdEVYdERlc2NyaXB0aW9uABMJISMAAAAKdEVYdENvcHlyaWdodACsD8w6AAAADnRFWHRDcmVhdGlvbiB0aW1lADX3DwkAAAAJdEVYdFNvZnR3YXJlAF1w/zoAAAALdEVYdERpc2NsYWltZXIAt8C0jwAAAAh0RVh0V2FybmluZwDAG+aHAAAAB3RFWHRTb3VyY2UA9f+D6wAAAAh0RVh0Q29tbWVudAD2zJa/AAAABnRFWHRUaXRsZQCo7tInAAAgAElEQVR4nOzdaXRUdbro/2/tqsqcSiVVmQdCwhCSMAqCgDaggiCKigOnbbE9tgN2n+5z1ukX58Vdd/W6a511+571v20P93Zr3/bYqNB2K9Ago4BRGWSGhDAkhEwkZK5UqiqVGnf9X1TmiUpM0O7zfF5pktq/YT+72M/+DVvzs5/9LIAQQgghhBBCCCEAUL7pCgghhBBCCCGEEN8mkigLIYQQQgghhBD9SKIshBBCCCGEEEL0I4myEEIIIYQQQgjRjyTKQgghhBBCCCFEP5IoCyGEEEIIIYQQ/UiiLIQQQgghhBBC9COJshBCCCGEEEII0Y8kykIIIYQQQgghRD+SKAshhBBCCCGEEP1IoiyEEEIIIYQQQvSj+6Yr8DfL08LloqPcSF3LU3Pien+seu00Vd+k6lYDLe123KqOCIOZjGn5FEw1Ez7SownVTevNEkrK67F0BYiIT2P67LlMT4oY+DTDU8/nu06jXfQwS3Ni0YZcYRVH3VXKG12ow/1ao6CPiCEhJZM0U+QYjjtB1HbO/L9fsb+h+/+1U3n2X18kP+puV6RHF9e3/YIPb3i7/z+VtT95hcXxk/Nsqev6Nn7x4Q16S1v7E15ZHD8BT7Jc3Nz5a94vcXb/v4kHXnudVan6r31k8e3mt1dx4VIThoIFzEwIG/2PXTfZ+ev36QuTB3jt9VVMTph88zHpurmTX79fQl9zX+P1VanIVSGEEEKIHtoVK1b87JuuxN8atbOSI+9v5ag1l5UP5GHqzn7dNft5+/98zLGScixaM6kpZgzhftorznLiq684X6sha2YWcXrNwAN6mjm74x22fVaGKy6TTLMee8UpPis6y+2wqcxMj0XX8xFtBNGe6xz4+AjV4bnkZcSEmNT6aC8t4ui5G9y8conL18spr27G0tpAfX09dbU3uXr+HGdPn+DsDRvRGdkkx+jQ3PnAw3SQm9aKq5TXtxOITSB2cHuHownHPHM+C+enYSm+RptqJH/pPJK+sTtXLXG587hnwVQ810pp8MQwfckCMiInJ1HWxuUy754FTPVco7TBQ8z0JSzIiAwxUVZxt1Zwtbye9kAsCbH6fudNwTBlDgsWzEBbUcytrgiyFi4iJ/auPwoRd5WLqr3v8PGp61xrSWHh3CTCRrsuFQNT5ixgwQwtFcW36IrIYuGiHL5OmKjuViqullPfHiA2IZa+4r75mFQMU5izYAEztBUU3+oiImshi8b04FEIIYQQf+9kRHmsfK2c+/hPnGifwTNbHmZGbF8qo3a1Y1UVUle9wksPpNI7hrPiPs5ue4t9VUV8XDSVH67LIrzvQ1Qe3s6+aw7SH3qNF5cnBz/3wEKytr3N/k+3sy/hdZ7Ii+lOmsJIXLCB77m28vbBbeyNe5UnZsWGkFDpSV76XV5f6qZy1y95r7iL6MIneOXx7N66qO4WSg/+iZ0XL7D73U40rz/LPOM4bh0DnVQc2cnBJgOLX84hNeoOo1kAKITHGgnXt6L/ViwIUNBHx2HU20eeBTCRpemjiTPqsY+rsACdFUfYebAJw+KXyUmN6os9FHRRBoxhrrvSDvFtoScxfzaZDXUYC1OC1/ho16WiI8pgJMwVPmHrcQKdFRzZeZAmw2Jezkmlr7hvPiYVXRQGYxguuSiEEEIIMQK5SxgTP9bSAxyu8pO56kHyDEO7T6OfyrIF/ZJkAJ2Jgnuz0QO2G+W0eft+5Ws7z6dnrRA9l4cWJfd9Tmdm3oMLicNByaenaPT2P6CepIWPsNhop2TfUaq6hp1MPWZKeCJz1jzG/GjAVUbRqQY8E3JkIcTdpcUw61Fe/tFrbFxgkieiQgghhBBjJInyWHhbuHjsJl4li3tmGodM04uc8Q/82789T2HM0I8qYeHBv1f9qIGen/pou3KRRiAiO5+U8IGfCUvMIzcGsJRQ3DgoZQ1LYe5cEzhK+PKabfh1x+MRkURuYnCOZEdNI85BB1a9Tqwt9dTW3KLR4sQ3UeWGSHVbaa6rpba+Gav7zq0ea319na3crq2lrsWOZ0yd6qervYm6mlrqm22EUDXwddJ6u5bauhbsYytsAqh4bM3U1dbRZPPcIX7G0bZJdlfOq+rG2lxHbW09zVb3mK4x1WOjua6WuibbGOPoW0b1YGuuo7auCdukN2QsMQn+rnaa6mqorW/GNkFBGfJ5U704rS3U19Zwq9GC825/EQohhBBi0slAwxj4LNcobQMSp5EeNcwzBkUZYY2bh7aqelxAdM50zD3DxqqT+oo2AOIyTQyZoKxPIMsIFxw2qm7ZINPc75c6jFOziP6ijVvF1TjmzWOYAe5xCBDoSeQ1mu4nKSrOmq/4tOg8V6ot+CJiMeh92O1dBGKzWbxmPasKzYShYj2/lbf21eJSAWycfufnnO2uV1jmOl57cSHj2Q/L11HO8f2HOFHWhj8yluhAJ3aXFnPeMtasW850Q/9QDrW+/T7hrOWrvbsputrWm3Rp4mawasO9d7hh92Et+5L9h05SbgkQFRuF6rDj0pvJW7aWR5fnDl3nqTqp/Wovu4uu0tZXGDNWbeDeMd7vq9bzbH1rH7XBDsd2+h1+3tfhrHvtRRYO6vCAp4Gv/vxXDl+z9LYtdtqDPLNxGVkD1mCPo21DOLm2/Td8VOHu+5EmmvxNb/D09EhAxXrxA97e18bMTa/zxLRIANw1+3j7/fNYuyuoT1/Da99fRETdRJ3XJXgO/YkTLX4AlPiFbH51HVnhgK+D8uP7OXSijDZ/JLHRATrtLrTmPJatWcfy6YbeL0531Se8te0iHSqAjuTvvMDasJP89fA1LH2dy4PPbGRZ1uhrzp3XtvObjyro6ykN0fmbeOPp6UQCqvUiH7y9j7aZm3j9iWlEBjuKfW+/z/m+jmLNSyto/vOfuBisFLrkB3h2QRUfHxjLdRnA0/AVf/7rYa71NYRpDz7DxmVZjLpUX7Vyfutb7Kvt3jjQdpp3fn62d+lI5rrXeHHhwI3qQo9J8FnL+HL/IU6WWwhExRKlOrC79JjzlrH20eXkjmetc8BDw1d/vuN5U501fPVpEeevVGPxRRBr0OOz2+kKxJK9eA3rVxVi1lk5t/Ut9t/q/3AzkpnP/YjnZkYGN0777XZKHd1ftNpElr/0MqvSQlmiIoQQQoi7RRLlkKl01lXQBoSZEokJtee8NmoufMqu4+1oU+/jqQeziej5na+DRhuAlpi4iKFJtqInOi4C6lzYG22AecCv9cY0DFyks7GcJvc8DJHjb12vrkZutARv4OJzUolQAFQc1Re4VB1gwTM/5pGCBMIAn72KEzu2U/Txe3giX2d9bhQxeet5IamNK7s+5KQlisINz7EkMdgyTZiR2HEkyX7rZf76zg5KHUks2fTPPJRnRIeX9utH+fAvn7OtvpWNLz/J7N711KHXVwHwNnFy+1aO1PmJK1jLU6vnkxnto/n6cQ7sOYjDOWLNsJbs4g87r+BMWcp3/2UVM+J04LFQeuADPi56n2bHZn6wNoe+5ypemk5uZ+uROvxxBax9ajXzM6PxNV/n+IE9HBy5sGEpMXmsfyGJtiu7+PCkhajCDTy3JDEYS5owjEM63E3Nkd2o5kVs3JxKZNdtLn12mJKKo+w6lsOW1endieZ42jacCLJXf4/nsw6w7UgdgbRVPL9uOgmm7ukTqo2bF6vp8qlcv1RH17RgUqhPWcqzL2ZzfscOKvOf5cl5GRi0KpYJO6/7cXR6UVUTyzY9Qb4xFrMe8Fu5/Nd32FHqIGnJJv75oTyMOvC2X+foh3/h8231tG58mSdnB2eU6NOW89xLc2m7tIOPznbQUfEpuwNJLH72+6RFuLh96QgHL1VwdNcxcrasJn2UXCgiezXfez6LA9uOUBdIY9Xz65ieYOreQ0DFdvMi1V0+1OuXqOuaxvRgR7H02RfJPr+DHZX5PPvkPDJMccx47iXmtl1ix0dn6XD5iZi+nhdSxnBdums4slvFvGgjm1Mj6bp9ic8Ol1BxdBfHcrawerSGKDHkrX+BpLYr7PrwJJaoQjY8t4RgcRrCjIP3VAg1JsFvLWHXH3ZyxZnC0u/+C6tmxKHDg6X0AB98XMT7zQ42/2AtOaMH5RDumiPsVs0s2riZ1Mgubl/6jMMlQ8+b6qjmwqVqAgue4cePFJAQDECqTuxge9HHvOeJ5PX1U8h79AWM1/ez/bN6VPNSNm2YTaK5O+bD0lnxDy8y7fRH7KyaydNPLyLLLP8UCyGEEN82MvU6ZF46GmwARBii7rg7alfZR/zqP/4n/+Pff8G7B2qIX76Jf3p5Dbkx/brc78LhBtARrhtuZ2gNYeHBGyi33TXkt0p4bDBhd7fR2uUfT6MGUJ23Obd3d/AVMdEFPHRvSu8NqjYqgbR5j/DQrITen+lip7Js3XJM2Lj0RRkOFXTRiaSnJWHQB9sVbU4lIyODjIwM0pNixv5kRnVQdnAfpXYw3f8kD+YZu4+hJz7vQZ683wT2UvYdCpbfI9T6gkpH6UGK6vxgvI9nNixmSlwYii6KlMKH2LgyDpt3cKV6qlbGwX1XcGDi/idWBhNJgLAECtesZ340WM7u43Rz3wHUjlIOFtXhx8h9z2xg8ZQ4whQdUSmFPLRxJXEjFTYSXTSJ6WkkBTscXbSZ1O7+zkhPGuaBjpPmqJVseuw+CnKyySlYyqOPLSAGaL9e1rt+fjxtG55CpDmdqXMWkqVAoKUOT3wyCd2jhKq9kuK64Ilz3Szhdlf3p8LjSYyyUddpZt78aWR0x87En1c9huQ00lOMhCsqjrKD7AsGG08+GEySAfTxeTz45P2YsFO67xBl3cGmhMeTkp5GYmyw/53N0ax87lEW52WTmZ3H4rXrWRDsXMraRu8rJdJM+tQ5LAx2FHWeeJITukczVTuVxXXB0VbXTUr6Oor4xChsdZ2Y581nWkYSMfpw4lPSSUuM7X3dkXas16WzmaiVm3jsvgJysnMoWPoojwUbwvWyNkZviY7oxHTSkgzB8nXRmFO7YzIjnaQhQRlaTPZ8F1xxgOn+J1g5I6673mEkFK5hfTAo2Xe6+Q71G8rZHMXKTY9xX0EO2TkFLH30seHPmzaKhLR5PPLQLBL6ApCpy9ax3AS2S19Q5lCISUon557lzAgHWitoDk/E1DMyrkSQkAC3Kp2kLl5CXmYyhjD5p1gIIYT4tpF/nUOm0mULJqv6SP0dOy4sfTmPb3yaZ55ay/2zY6g//iFvbz3I1fb+i9lU/CqABq0yfKKs0QZ/HvAPMydXE0akHsCFzTn2RLmz+CN+++abvPnmm7z5v/8X//4fv2fvFTsxUxaz8aUNFPTO5dZhWvQ8rz4xc8jooS4mEaMW1NYa7pAHjIvquMHpcheQQMEs86D3nOoxzSogAXCVneFmb6Y8hvqqDm5eqMYPGAsKSRowUKZgyJ1PxrAnW8VRcZpyN2AqZJZ50HusIlLJy9ADbVy+1jPtV8Vx8wLVwcIoHFgYiiGX+cMXNoHCyJ6fM2AEMdyURTxAZysOX3c9x9y20SkxOczLUsBbTXFNd5KHir2ymKa42cxNALoqKL7d80DIj7W8hNb42cyM70msJvm8qg5unC7HBSQUzGJws/WmWRQEg40zNx3DTskPy55HzoDONTMlQQN00uoIoaeUGHLmZaHgpbq4ht6esldS3BTH7GBHUVF8m96espZT0hrP7JnxEzdFKCyb+Tn9R37DMWXFA9DZ6pjgvQlCiUlQHRWcDgYlhUO+CyJIzctAD7Rdvta3pCHUGmTPH3TeTASbO/C86UyLeP7VJ5g5NABJDAYgNd1fhEp0DksKY4Bmzp0fuDGis/oUpa4sFhcmyLQuIYQQ4ltK/o0OWQCfJ5iMarR3Tma0MalM7d7Ua9ace5ibtZ23953iLx9o+MdX1wTXQmp0hGkBr4rPHxjmKAFUX/fIVdgwY9gahWBV/Lh9w31+dGGZC1lxj7k7CDTowmOIT0kjyRA2zIMAD5by85y6WMatZiudHl9wU7KAF4cf8LnwTsJeP962GlpUQDGQFDf0pcp6QxIGBSxqCzUWL3MNPTuihVhfr4U6SwBQMKYah64TDzNgioYq+5CaYalp7U6WOqm6dI66Ab/3096dyVhvWfCQgg4vljoLAUAxpmIcWhiG4QubQFGYYgdd9rpwInSA30cwwsfTtjtQYpg6NxOluoaq4lo682cRrdqpvNRIzOyHWaJtoLiolYqS27hyc4jwW7lR0oqxcCYJAw4+iefV20ZNMNgwJMUxJNr0BpKCwUZLjQXvXAOD9t8jyhQ7qC+0hIVrAT++kJ5lKcRMnUumUk1NVTG1nfnMilaxV16iMWY2Dy/R0lBcRGtFCbddueRE+LHeKKHVWMjMhAn8Oo8yMTRMIgiGydefvTKosBBiEryWGlq7v2M6qy5xbmBQ4u8LSiweSBlDdww9bzrCgxUYct48lnLOn7pI2a1mrJ0efMEAxBsMQFy9X4ThpC9agOn8l7QVn6b6O5nMiAJUG+WnKmD6RmZMzMYSQgghhJgEkiiHTIPSPT06oI41KdVhnvMAs7+o5ELbOY5X3s93Z0WBNgpjJODy4hx211YVd2dwHCIyLmrY3weroqDTDjciPTp9wlTyZ2cPudkfWkwXtUXv8cdjDagxU1m05AGmmKLQKxrw3ubzHV/QMObSQ6O6ncFplNow9MMOuusJ1xLchbZnm9qx1Ff10uUD0BI27AuclRHe66zi6eoeQrfdpPh8PUOrZyY1FfTxWgIqoKh4g4WhDRt+VoIy6S+RHm72ggaNBvp2cRtP2+5UrkJszlwylBpqq4qpdc5ipq+SS40x5D+STKIyG3NREa03SrjtzmFK5w2KW43Mzus34jbZ51V14/T2fGb4GR76YLDhdQ6/K7NGqwzpK02wcwn1W0OJzWFuhkJNbRXFtU5mzfQFHyjkP0JyosJscxFFrTcoue0mZ0onN4pbMc7OYyLzZDRahoaJhgFhMnGFhRCToHq6uqdU27hZfJ76YU6RORiUaEMLyr7SQjpvKl21Rbz3x2M0qDFMXbSEB6aYiNIraPBy+/MdfDHoi1CfOI97045x4PZ1Tt2wMW2uAdVSyqnaCApfzGa4b3UhhBBCfDtIohwyhfCoMKALv8c39tcx6RNIN8AFh5fWhg6YFQX6OFJNOmj34Whz4CN64Anxd9Fu8wIa4jPihx5T9eHxAeiJnsQ1bj7LJQ4ca0AlhYdefJ7lif1q6VR7d8+dDEpYJDrA6/cy7KB5wEdwoF9HRHfmM6b6KnoidYDbj8c7XAEqvmFPtoI+Qgd40GY+zObN+SHc9Crog4Xh93iHTZzU4Qu7y8bTthCOGpvLvAyF2tpKimsdpLuKaYzJ5xGzHp0mj0JzEZ+33uDybSdxTcW0GmeT1y/7m/TzqoQFP+P14x0+2Hpnlegi7rz8YtyUWHLnZaDU1lJZXIsj3UVxYwz5j5jR6zTkFZop+ryVG5dv44xrGvpA4e+Uog+OaHu0mTy8eTP5dzvL9Fm4dOAYDSqkPPQizy9P7NfnTtThvgi1RvLvy+XIjgoqT13BUnAP7otnaY5fwJNpd3xEKYQQQohvkMz7CpkWQ3IsAC67a2iirNq59sl7fHSmefj1e70JHWiUnm6PIC0/DQVor26ia/BB3c1UWQCSmZU5zF2hrwu7B9DGYR48dXECeS21WABis5gSN7icwMS9w3kY+oRMTBpAtdFsH9qzPnszNhXQmMhK0I+9vvp40uMBVGxNHUM3AfI5sHQN/iGAnoQsExrAb+tbRznws1YqL5dwrb6zu0w98cHCUG1NdAwtDMfwhd1l42lbCJRYcuamo+Ch6lIZ1y41ED0rP7gWWGdiVoEJ6KS8uJyrxa0YCweOkk76edUnkBkMNmzN9qHXsc9OczDYMGUlDJ2aPWGCo+/pCniqLlF27RIN0bPID3YUplkFmIDO8mLKrxbTaiwc8EDh75U+ISv4XeC3jbDe24e18jIl1+rpnIwvJa+F2mAAkjUlbsiDicAID9Ripy0mLxJoOMPFumrOXrKTtngustG1EEII8e0miXLIdMSmZxANuNrau99H2p8Pe30lV0tqsQ+zhM9vq+J6K0AUmVOM3T9VMMy4j7wIUG+dp9zW/4Mq9soLVHlAn7uEgmFuhD22RuwACVMHbVY0sZTwqGBS4O4YkjT57E10DG5v79rpAD2z1H3Wqxz95BAXW8a245dimMGinODGUVfLLIOSFx+W8mu0AfrchUzr3oxnTPVVYsidPwUFsFy9RuuA6qk4qkuoG/bJh0LstEXk6oHWUsosg/9IxXnzCB/t2MvFjkDvZ2Jy5zMlWBjXBhaG6qimZPjC7kCD0r1uPtDX4Vw9+gmHLraMeQfg8bUttOMacueRrgF32WGO1kaTX9CzKZMO06zCYAJY8ilfNMVROGiUdNLPq2JgxqKc4IZQV8sY3GyfpZxrwWBj4bTBrziaWIohl3nBjuLw0Vqi8wt6NxfTmWZRGOwoPv2iibjCEKddT+B1GQqNog32UUDtnj3hw3r1KJ8cush4ilNip7EoGJSUDvkuANV5kyMf7WDvxY6Qp7mPrQLhRAUDkI6hAUjTkC/CbpFTWDw3DmjnzJ69XPZNZUle3IhvTlC7Grj81VeU1Dsn9SGkEEIIIUYnifIYhCcXkBsJtFXS7B7+bwJ1n7L7WCW2fvdRvo4bfL7jADV+CJ+2ivsz+6bcKTEzWL12FlH+Gg7vv0Bz99ao3rYSDh4sxxOey+q1hcQNOVMqztu1dACmWdN7X2MzGl+XDau1A6cneBupejqxWa1Ybc4Rphd3tztlDvlxgKeMw0ev0N59k+t3VHF83ynaAAJenDYrHZ3e4OtPzJGAk7YODyoqnVVnOHm+nA51pLXUKm57sC5eFQj46bJZsXaGk7d2NdMioOWLPRyv6bl5VHHWnmDvF80QPo3VjxTQsy/O2OqrYpy9hgdSNdB2jB2HSmlxq4APW/VJ9hxpJEIL4Mdl7wj2VXeNFUM+6x6ZQQTNfL7rcyp6R7xV3E0X2ftJKe605ayaFtN7oWmNs1nzQCoa2ji24xClLW5UwGer5uSeIzQGC8PvstNhteEMKW9WiEgwEwk42zrwqKB2VnHm5HnKO1RUlx1rRyfu7tcmuR0dWO1u/Kh4nbZgmwJAwEdX9zkcT9tCqqkhl7npGgi48MTld4+SBulMsyhMAFQnvoRC8kwDg3pyzuvAfjQUrGV1MNjYc7wGZ8+yd2ctJ/Z+QTPhTFv9SN+O8D4XdmsHnd17DKhuBx1WO24/qF4nNqsNZ7Bzg9dfR2dom94pBnLnpqMhgMsTR35+v12edSZmBTsKpy+BwjzTwNFN1dfdB8HYQnXj6LBic2mJH/G6VHHZh37GHmwITpsVm9NHMEy6sFk76LxDQ5SIBILFtdERDEqqzpzkfHkHXvfYYxLFQP66R5gRAc2f7+Lzir5Rf9XdxMW9n1DqTmP5qmnE3Ckox3Pe9CnMCQYgZYePcqUvAKk6vo9TwQAM1n/AeQ4jZcFCkgCvxUZ43hJyR3yhvIvKvVvZcegQO7fuoXxsr1UXQgghxATS/OxnP5uUh+9/nzzcPvIWvz/upPC7P+bpGVEDftdc/DmfnSqhvMGBqovFZI4hzOegtdWOVxtP7uIHWbuiEPPg0V/VTXPxQXYevEhjwEiSUYOtuR1/4hxWP7WOe1IjhiYj/nbO/vE37KtPZ92Pvs+9CXd6s7OHW/t/wztnhtlROaKA7/3zM0yLGOXTTefY85f9lLapoERiiNXi8UQx4/652I4eDr7yCNBN38R/ez4PT+MJtr97mGpPDInJ4dgb24iY+zQvPV5I3HBVVds58/tfsb9x0M9NK3ljy3cwthdzePdBzta5iDYlE4udprZOIjMXsebxh5mbOLBTx1pfv/0GRTt2cbzaSXBzoQB+fQZLN9yP/9CfON3RfeDo+Xz/xxvI7n3W4aH18hH2HDxDbWc4xqQEIlQ7La1dxOWt4PH1y8gefNfut3OjaAe7jlfjJLiRUMCvJ2PpBu73H+JPfYUx//s/ZkN2CGsZPY2c2P4uh6s9xCQmE25vpC1iLk+/tA7T2bd4+3j7MP16Lx07f8m2qwOf+ig5z/LfN+ePr213pNJ+9j/59b464pa9yg8fTus3hdlL42e/460vLZhWbGHLiuQh01sn/rymsPYnr7I4vl87PC0UH97NwbN1uKJNJMeCvamNzshMFq15nIfnJvbuou1tOMJv3z7OwN41sfKNLdzbsZNfbrvKgN5Vcnj2p6Gtr1Xbz/Kfv95HXdwyXv3hw6T1m+vtbfyM3731JRbTCrZsWUFy/45y3WTHL9/n8qBXr4fnP88PH2hm53DX5ToTZ996m6Fh8gZb7u1g5y+3MTBMFHKe/SmbR22Ih8YT23n3cDWemESSw+00tkUw9+kXWNT4AX8YV0yCp/UyR/Yc5ExtJ+HGJBIiVOwtrXTF5bHi8fUsy77zw5txnzddE+f2/IX9pW2oKEQaYtF6PETNuJ+5tqMc7gtANv3r88Ep1wCqlfNbf80nNQaWvvIGq9NHmgLkpmbv/+XdczaImc/mH20gZ5TvZSGEEEJMHkmUx0jtvMGe322jxPAQr//jcpKGGcn1u6y0NLbQ3ulGVcKINJhJTU4IbhQ0Gp+D5voG2pwBIuNTSU+JHWEdpEpX1X5+t/UcEd95lR+sTBv6+pvJoLqxNtTR2OFGExlPakYyhlF2aVY9VhpqG7C6NUSZM8hMjvmaGw6puC23qWu24SYcQ1IGaQnhI98Uj7G+4MPZXEddaydqRAJpmXf6+4FltTfU0dzhwq+LwZSaRmLs6Bs++ZzN1NW10qlGkJCWSbLha24QpXqwNtTSYHWjiTKTkZlMzESsgxxH2ybVRJxXtZbdv/4jFzszeeqnLzMnZrhiLNyua8bmhnBDEhlpCYT/HczBmfjrctTS8FgbqG2w4tZEYc7IJHlighJ3ewN1zadZpagAACAASURBVB24/DpiTKmkJcaOsEP9RFNxWxuoa+zArYkkPjUjhGvXTfWe3/De7fvY8oNlJI7WBT4Ht2saCSRlkz6Je08IIYQQYnSSKI+ZiuvWl7y/9Uvc92zixTUzGHEW3STxtF5g57t7qM18nJefXoBJ7qWEGMpvo7KkCt302WQNGvlWred455d7qY9byis/XM2IA3xCTARnOR/95iM6V/+IzfPjZM2TEEII8TdA/r0eM4WIzAfY/IN1pFXuYWeJ7e4W77nNsb8U4ZzzHK9KkizEyHwWLh/Zzd7zzQM3NFNd1J39ino0pC6aR7IkyWKiuSrZ/8EertlVwI/lynHKNTNZOnNyN4ETQgghxMSRNGtcFMJTFvLU6wXY3JP3kphh6Uzcu/mfWBkTJjdcQoxKg6JRaS56l/9suYf8DCNhaifNN0u4eLOd+DlP8MySJPkSFBNPddJ48wKlOzXUJ3dx/WwDqQ89Rk6UfGsLIYQQfytk6rUQ4u+Wz9FAxbUyqm+30G534dPoiY5PITt/HrOzjZP4LmTxX5q3lZJjJylrsuEORJI4417uX5CJ5MlCCCHE3w5JlIUQQgghhBBCiH7k+bYQQgghhBBCCNGPJMpCCCGEEEIIIUQ/kigLIYQQQgghhBD9SKIshBBCCCGEEEL0I4myEEIIIYQQQgjRjyTKQgghhBBCCCFEP5IoCyGEEEIIIYQQ/UiiLIQQQgghhBBC9COJshBCCCGEEEII0Y/um67A3yxPC5eLjnIjdS1PzYnr/bHqtdNUfZOqWw20tNtxqzoiDGYypuVTMNVM+GiPJlQXTZe/5Pi1Dgz3rOXB6TEjPsnw1H/OrtNaFj28lJxYbcjVVh11XC1vxKUO91sNij6CmIQUMtNMRIZ+2Amjtp/h//1qPw3d/6+d+iz/+mI+UXe/KgB0Xd/GLz68gbf7/1PX/oRXFsdP0hOmLq5v+wUf3ugtjbU/eYXF8V+/NNfNnfz6/RKc3f9veuA1Xl+Viv5rHznkGnBz5695v6S3Bjzw2uusSr17NRB3IudICCGEEKKHdsWKFT/7pivxt0btrOTI+1s5as1l5QN5mLqzX3fNft7+Px9zrKQci9ZMaooZQ7if9oqznPjqK87XasiamUWcXjPkmD5rOV98/AEfn7xJc2sLnvSF3JMROWJCpo2IxnP9AB8fqSY8N4+MmNCyWl97KUVHz3Hj5hUuXb5OeXk1zZZWGurrqa+r5ebV85w7e5oTZ29gi84gOzkG3dDqhtZP7lYqrpZT3x4gNiGWYZo9hCbczMz5C5mfZqH4WhuqMZ+l85LuYkI3kDYul3n3LGCq5xqlDR5ipi9hwSjn5WuWRlzuPO5ZMBXPtVIaPDFMX7KAjMgQS1PdtFZcpby+nUBsArH9OlwxTGHOggXM0FZQfKuLiKyFLMqJ5e49C1EwTJnDggUz0FYUc6srgqyFi8b0kOfvl4q7tYKr5fW0B2JJiNUzzksutNJGvC7lHAkhhBBC9JAR5bHytXLu4z9xon0Gz2x5mBmxfUmM2tWOVVVIXfUKLz2QSljPL1bcx9ltb7GvqoiPi6byw3VZhPd+yE3jhX18fKAEZ+Y9zDed52JbCPUIS2TBhu/h2vo2B7ftJe7VJ5gVe+eESp+8lO++vhR35S5++V4xXdGFPPHK42T3VEh101J6kD/tvMiF3e/SqXmdZ+cZx5VQBTorOLLzIE2Gxbyck0pU2J0/gxJOrDEcfav+W7EuQNFHE2fUYx91KsCElYY+Og6j3j76zIORBDqpOLKTg00GFr+cQ2q/Dld0URiMYbjuSjuGo6CLMmAMc42vbX/XAnRWHGHnwSYMi18mJzWKUC6VcZc24nUp50gIIYQQoofcDo2JH2vpAQ5X+clc9SB5hqHdp9FPZdmC1IE3ujoTBfdmowdsN8pp8/b7ndrBzVILmWtf4Z82P0hu9Biqo09i4SOLMdpL2He0iq5hp1OPkRJO4pw1PDY/GnBRVnSKBs8EHFcIIYQQQggh/kbIiPJYeFu4eOwmXiWbe2YOHWWNnPEP/Nu/gXaY4VclLBwt4FX9qIF+v9CZWfy9f0SnU6B3BWnowlLmMtd0ki9KvuTaiqksME7Es48IknIT0VzsJNBRQ6NTJSOs/3FVvE4b1nYbTjWMWJOZhKi7GUoqbmsrLTYXmggDZrPxDmu/vThtVtptTtSwWEzmBEatrq+T1uY2nGok8UkmYscyvOfvor21DZtbQ6TRjNkQfsenUb7OVprbnKiR8SSZYid1NHEw1WOjtdmKR28kKdFA2GiVHUfbQqgBHlsrzVYPemMSiYawEY75NxZzAz7qwdbajNWjx5iUiGHUTp7EenyNMkM7R0H+rnZa22y4NZEYzWYM3/Tw9Ne+/kOp/7clPoQQQggxUSRRHgOf5RqlbUDiNNKjhrmZUZQRpih7aKuqxwVE50zHPCATUtB9nbOgMzI1K5ov2m5RXO1g3jzDhEwTCAR6snkNmp4Dqk5qvvqUovNXqLb4iIg1oPfZsXcFiM1ezJr1qyg0h4Fq5fzWt9hX60IFsJ3mnZ+f7a5XGJnrXuPFhePZEMtHR/lx9h86QVmbn8jYaAKddlxaM3nL1rBu+XQM/fpSddbw1adFnL9SjcUXQaxBj89upysQS/biNaxfVTjwXKhOar/ay+6iq7T5epofx4xVG7j3TqP1PitlX+7n0MlyLIEoYqNUHHYXenMey9Y+yvLcoeuBVWctX+3dTdHVNvqKm8GqDfcytskBKtbzW3lrX233Jm02Tr/zc852d3BY5jpee3EhA/YEC3ho+OrP/PXwNSw9hcVO48FnNrIsa9Aa7HG0LRQBTwNf/fmvHL5moa8KD/LMxmVk9azLDinmdFjPbeWt/bfoP/khcuZz/Oi5mUTi4ubO37K91EEwqrUkLn+JLavSQqjlGGLOXcUnb23jYkewNbrk7/DC2jBO/vUw1/o6mWkPPsPGZVlEKqBaz7P1rX3Udu+uZzv9Dj/vO3Gse+1FFsYrY6vHSMZxXYZ0jnp6ylrGl/sPcbLcQiAqlijVgd2lx5y3jLWPLic3hLXOzmvb+c1HFbh7f6IhOn8Tbzw9nUhAtV7kg7f30TZzE68/MY1IAHcN+95+n/PW7hrq01nz2vdZFFE3Ydf/Es8h/nSiBT+AEs/Cza+yLit8bOdlHPEhhBBCiG+OJMohU+msq6ANCDMlEhNqz3lt1Fz4lF3H29Gm3sdTD2YTMaH10mNMM8DFThrLm3DPMwRvHr+WLhpvtASTivgcUiN6khYH1RcuUR1YwDM/foSChDDAh73qBDu2F/Hxex4iX19PblQMeetfIKntCrs+PIklqpANzy0hUQugIcwYO44k2Y/18l95Z0cpjqQlbPrnh8gz6sDbzvWjH/KXz7dR37qRl5+cjVHbU91qLlyqJrDgGX78SAHB6tqpOrGD7UUf854nktfX5xJ85uGl6eR2th6pwx9XwNqnVjM/Mxpf83WOH9jDQccoo/1+KyW7/sDOK05Sln6Xf1k1gzgdeCylHPjgY4reb8ax+QeszYnqa7e3iZPbt3Kkzk9cwVqeWj2fzGgfzdePc2DPQUYrbiiFmLz1vJDUxpVdH3LSEkXhhudYEuxwNGFGBi9fd9ccYbdqZtHGzaRGdnH70mccLqng6K5j5GxZTXpPAjGetoXETc2R3ajmRWzcnEpk120ufXaYkoqj7DqWw5bV6cGR9RBjbkreo7xgvM7+7Z9Rr5pZumkDsxPN3XsBhJG+4h94cdppPtpZxcynn2ZRljmEOo4x5vRpLH/uJea2XWLHR2fp6Kjg090BkhY/y/fTInDdvsSRg5eoOLqLYzlbWJ0ehhKTx/oXkmi7sosPT1qIKtzAc0sSgw8eNGEYY5Wx12MkylivyxDPEeC3lrDrDzu54kxh6Xf/hVUz4tDhwVJ6gA8+LuL9Zgebf7CWnOEeMPYTkb2a7z2fxYFtR6gLpLHq+XVMTzB1n0cV282LVHf5UK9foq5rGtMjAX0KS599kezzO9hRmc+zT84jw6BFtUzc9b/f0YlXVTEt28QT+UZizfq7Eh9CCCGE+ObIM+uQeelosAEQYYi64whaV9lH/Oo//if/499/wbsHaohfvol/enkNuTET3eUK4bEx6AB3Wytd/q95ONXJ7XN72V3iBKIpeOheUnrv17REJaQx75GHmJXQ80MdsVOXsW65CWyX+KLMgYqO6MR00pIMwd2qddGYUzPIyMggIyOdpJCfMvSrlqOMg/tKsWPi/icfDN6QAujjyXvwSe43gb10H4fKHH2jsdooEtLm8chDs+irbixTl60jWN0vKHME/1rtKOVgUR1+jNz3zAYWT4kjTNERlVLIQxtXEmfzDq5ST81wlB1k3xUHmO7niZXBRBIgLKGQNevnE42Fs/tO0+zt+0xH6UGK6vxgvI9nNixmSlwYii6KlMKH2LgyjhGLG4EuOpH0tCQMwQ4n2pza3d8ZpCfFDHki5myOYuWmx7ivIIfsnAKWPvoYC2KA9uuU9S6iH0/bQuWkOWolmx67j4KcbHIKlvLoYwsIVqGs3zr+0GJOiUkiPecels8IB1qpaA4n0dQzMq4QkZAAtypxpi5mSV4myYY7JyFjjjklnPiUdNISY4Nx72wmeuVzPLo4j+zMbPIWr2V9sJO5XtYWfOWYLprE9DSSgicOXbSZ1O7zlpGeRIxunLE/rLFelyGeI9VB2cF9BMPkCVbOiOuOtzASCtewfn40WM6y73QzdwoTJdJM+tQ5LMxSINBCnSee5ITu86jaqSyuC7bRdZOS213dHwonPjEKW10n5nnzmZYR7LfJuP71hmTS0lMwhit3Jz6EEEII8Y2RRDlkKl02FwD6yDvvyByWvpzHNz7NM0+t5f7ZMdQf/5C3tx7karvvDp8cO01YZPDGy2XDOdZEubOYj377Jm+++SZvvvm/+V///h/8fu8V7DFTWLzxJTYU9JvKrTOx6PlXeWLm4NFDHTGJRrSotNZMxg2eiuPGacpdQEIBs8yDXhalNzGrIAFwUXbmJt33vuhMi3j+1SeYOXgUSxdDolELais1bd7g8W9eoNoPGAsoTBqYRCmGXOZnjHDGVQcVp8txA6bCWQyuWkRqHhl6oO0y13rmc6oObl6oJlhcIUmDpuIbcuczUnETJSx7Pjn9h5nDTWTFA3TS6uir55jbFnoNyJ6fw8AqZBGsQis9VRhTzCnR5CwpJAZoPnd+4CZ0zmpOlbrIWlxIQkjPacYXcwObmM28nP6jtOGYpySgATpbHYTWYxNQj3EL7RypjgpOl7sBE4WzzINe5RZBal4GwTC5RkhhosSQMy8LBS/VxTV0p8Oo9kqKm+KYPTcB6KKi+Dau7t/5reWUtMYze2Z870Ohyb3+vy3xIYQQQojJIlOvQxbA5wlmoRrtnbMYbUwqU2OC/z1rzj3MzdrO2/tO8ZcPNPzjq2vICh/982OhUbTBmy2/G1/gTn89SFgmC1fcg7k7EjS6cGLiU0hLGmFjJ4+F8vOnuFh2i2ZrJx6fSgAIeB34AZ/LO8b1taHw0lbTggoohiTihrxUWY8hyYCCBbWlBot3LobwnuqWc/7URcpuNWPt9OBTA0AAr8MP+HB5VcCLpc5CAFCMqRiHDDaGYTBFQ5V9mKpZqGntbnFnFZfO1Q38vb+9+2beyi2LB1J04LVQZwkACsZU49DNu8IMjFTcRIkyxQ66+HWER+gAP76ehy3jaVvoNcAUO+jvdeEEq+BjwPOeMcRcePoiFpjO82VbMaerv0PmjChAxVZ+igqms3FGqGv4xx9zfU00MbiJ2u5N/fy+UJ9oTUA9xi20c+S11NAXJpcYGibd6az1FqGFiULM1LlkKtXUVBVT25nPrGgVe+UlGmNm8/ASLQ3FRbRWlHDblUtOhB/rjRJajYXMHPQUZPKu/29LfAghhBBiskiiHDINik4DQEAdazaqwzznAWZ/UcmFtnMcr7yf786KmriqqcHEAUWHVjPGz+oTmJo/u+89yqMV01VL0Xt/5FiDSszURSx5YAqmKD2KBry3P2fHFw1jr3tIVNzO4Di1NkzPcE3U6IM3mKrXiUcNfqartoj3/niMBjWGqYuW8MAUE1F6BQ1ebn++g77qqni7fL3HHy6RUvQjjSh76OoeQrfdLOZ8/TC1M6eSip54bSB4Y616CRanJWzY4yqMVNxE0WiVIf2o0WiAAL3RPZ62hV4DtMqQGhCsQt/1NeaY0ycy7940jh24zfVTN7BNm4tBtVB6qpaIwhfJDvmyG0/MDf4DLUObqGFQEye/HuMW4jnydHXPIrFxs/g8w4dJKujj0QZCixIlNoe5GQo1tVUU1zqZNdNH5aVGYvIfITlRYba5iKLWG5TcdpMzpZMbxa0YZ+f1my0w2df/tyU+hBBCCDFZJFEOmUJ4VBjQhd/jG/uoqT6BdANccHhpbeiACUyUVZ8nOE1PHz36632+Fh+WSwc41qBCykO8+PxyEvtFj1M9O4nz+BXCInWAF7/Xx3D3kAGfJzjCpYsIJpk+C5cOHCNY3Rd5fnliv2B3op7tX1sFfaQOcOP3eIc9vuob4Ywr+uAIm0dL5sOb2ZwfwnlV9ASL8+PxDlsaIxV3V42nbRNqPDGnxZh/H7lHdlBReYorlgLucV/kbHM8C55MI/TB1nHE3KT4ttRjZIo+gmCYZPLw5s1MSJgoseTOy0CpraWyuBZHuovixhjyHzGj12nIKzRT9HkrNy7fxhnXRHGrkdl5CX3X+KRf/9/+8yKEEEKIr0f++Q6ZFkNyLAAuu2tooqzaufbJe3x0pnn4tWUBH90zt9EoE9vtvi47HkAbZx4ylW/ieLHUWgCIzZrSu6lTr8BkZnZ6EjJNaADV1ox9SAf7sDfbUAGNKYsEPeC1EKxuLFlT4oY8ERpYXT3x6fEAqLYmOoYssvbhsHQN/mH3RxPIMmkAP7YR1hX6rJVcLrlGfWfP62viCRanYmvqGLqm2+dgpOLuqvG0bUKNL+aU2GkszosEGjhzsY7qs5ewpy1mrnksF8c4Ym5SfFvqMUoNE7IIhomtb337AD6slZcpuVZP6GGiEJszl3QFPFWXKLt2iYboWeSb9YAO06wCTEBneTHlV4tpNRaS13/a9aRf/9/+8yKEEEKIr0cS5ZDpiE3PIBpwtbV3v6+2Px/2+kqultRiH2Z5md9WxfVWgCgypxgnsF4ebI3BtXMJU5OGrnedMArhUcG7PXfH4KTJh72pg8HN7l07HeieGo4P69WjfHLoIi1j2vFLwTBjETl6oO0qZZZBd6U+C+XX2gA9uQunBTcfUsIJVtdNx+Cbd5+dpo7+tVWIyZ3PFAWwXOVa68DKqY5qSupG2FpHiWXaolz0QGtpGYOrhurk5pGP2LH3Ih09w05KDLnzpxAs7hoDi1NxVJcwUnGj0igEl88H6Fkd4LNe5egnh7g4tg7vruc42jahxh5zQZFMWTyXOKD9zB72XvYxdUkecWN62fM4Ym7cNCjd+x4E+k4cV49+wqGLbUROcD0m7roMUmKnsShXD7RSWmYZ8kBFdd7kyEc72HuxY9iR1xGPa8hlXroG3GUcPlpLdH5B74ZyOtMsCk1AZwmfftFEXGHewE3aJv36v5vxAWpXA5e/+oqSeuck7AEhhBBCiOFIojwG4ckF5EYCbZU0u4f/m0Ddp+w+Vomt332Tr+MGn+84QI0fwqet4v7MgRNAVY8Dq9WK1WrrXrsKfpeDDqsVq9WOe7Q7I9XJ7doOwMSs6cY7z6X3dWGzWulweoI3raqHTluwbOeo833DSZmTTxzgKTvM0Svt3SOhfhxVx9l3qi3Yfq8Tm7WDTq+KEpGAORJwttHhUUHtpOrMSc6Xd6COtJZadWO3WrE5gxs0BfzB+naG57F29TQiaOGLPcepcaq97a89sZcvmiF82moe6dmlOzyFOflxgIeyw0e50t598+t3UHV8H8HqBvA6bVg7OlENs1nzQCoa2ji24xClLW5UwGer5uSeIzRGBLMsv8tOh9WGs/f8Khjy1/HIjAho/pxdn1f0jS6pbpou7uWTUjdpy1cxrffVYFqMs9fwQKoG2o6x41ApLW4V8GGrPsmeI40Ei/PjsndgtTlD2wFXiSAh2OG0dXhQUemsOsPJ8+V0eN3YrR10dgeT6nbQYbXj9gfXUNqsNpy+4EZHvq5gn3jV8bRtZD6XHWtHZ3c8q7gdHVjtbvyowfNgcwY3owv46LJZ6ehUxhxzPcJSFrAwCfBasIXnsSR37O/uVgwFY4s5fLjsVjo6g7GD6sbRYcUe7GScNis2Z3CabsDX1a/OChEJZoKXSgfBS6WKMyfPU96hoh1zPe7QrlGuS697rOfIC4qB/HWPEAyTXXxeYacvTJq4uPcTSt1pLF81jTG9HU8xkDs3HQ0BXJ448vP77aitMzGrMAFQcfoSKMwzDfzum6Trf2D17lZ8uKjcu5Udhw6xc+seysf0jnUhhBBCjJfmZz/7mWwbEjIPt4+8xe+POyn87o95ekbUgN81F3/OZ6dKKG9woOpiMZljCPM5aG2149XGk7v4QdauKMQ8aNjXUfwH/r9dg7aK7ZXMmh+/yn0Jww+H+dvP8sff7KM+fR0/+v69jPBnfbW8tZ/fvHOGoRsqR1DwvX/mmWkRo32apnN7+Mv+UtpUUCINxGo9eKJmcP9cG0cPV3eP8OmYvulfeT5PS+OJ7bx7uBpPTCLJ4XYa2yKY+/RLPF4YN+y7qNX2M/z+V/tpHPRz08o32PIdI+3Fh9l98Cx1rmhMybFgb6KtM5LMRWt4/OG5JPbvW08T5/b8hf2lbagoRBpi0Xo8RM24n7m2oxyu7h5V0k1n078+T16YnRtFO9h1vBonwQ2vAn49GUs3cL//EH863dF94Gjmf//HbOi/A5qnlctH9nDwTC2d4UaSEiJQ7S20dsWRt+Jx1i/LHpIk+O03KNqxi+PVToIbJwXw6zNYuuF+/If+RF9x8/n+jzeEtOGap/EE2989TLUnhsTkcOyNbUTMfZoXFjXywR+O0z6wV1n5xhbu7djJL7ddZcCzHyWHZ3/avd50HG0bykvDkd/y9vGBNcC0kje23EvHzl+y7erAp09KzrP8983Txhhzkd2fVrGe38qvP6nBsPQV3lidPs7ZFh5aQo05bwNHfvs2Q5v4Blvu7WDnL7cxsIkKOc/+NLj229PIie3vcrjaQ0xiMuH2Rtoi5vL0S49TGKcdWz1CaNPw1+ULLGr8gD+M+RzlB4/aepkjew5ypraTcGMSCREq9pZWuuLyWPH4epZlx4z5YYXafpb//PU+6uKW8eoPHyat3xRmb+Nn/O6tL7GYVrBlywqSBz8lnITrP2XtT3h1cXy/dtyN+NBSs/f/8u45G8TMZ/OPNpAz2te0EEIIISaEJMpjpHbeYM/vtlFieIjX/3E5ScMM4fpdVloaW2jvdKMqYUQazKQmJwQ3cJrQynRRtf93bD0XwXde/QEr0yZv4vWAYt1WGuoa6XBriIxPJSPZMMpmNSoeawO1DVbcmijMGZkkx3zNjlDdWG7X0WxzQ7iBpIw0EsJHqoCK29pAXWMHbk0k8akZJBtGfw+2z9lMXV0rnWoECWmZd/z7gVVrp6GumQ6XH12MidS0RGJH3cnHh7O5jrrWTtSIBNIykzF8zZ1/VI+VhtoGrG4NUeYMMpNjJmTXvrG3beKMLeaC3NV7+M17t7lvyw9Ylng3Y268ZXiwNtTSYHWjiTKTkZnMkEtlwuoxCddl93Hd7Q3UNXfg8uuIMaWSlhj7DW5mNRHXv0rt7l/zx4udZD71U16eEzNMMZMcHz4Ht2saCSRlkz55G1EIIYQQoh9JlMdMxXXrS97f+iXuezbx4poZX3v92fh4aL2wk3f31JL5+Ms8vcAkW5gL0ctJ+Ue/4aPO1fxo83ziZJGJGJUfW2UJVbrpzM4aNPKtWjn3zi/ZWx/H0ld+yOr0u/NAUgghhBDfLLl9HDOFiMwH2PyDdaRV7mFnie0bqYXn9jH+UuRkznOvSpIsBC4q93/Anmt2VMBvucLxcg0zl878hh5kib8tPiyXj7B773maB22u56o7y1f1oEldxLxkSZKFEEKI/yokvxoXhfCUhTz1egE29zfz3g+d6V42/9NKYibvxclC/A1RcTbe5ELpTjT1yXRdP0tD6kM8lhMlTwNFSDSKBrW5iHf/s4V78jMwhql0Nt+k5OJN2uPn8MQzS4ZdaiOEEEKIv08y9VoI8XfAS2vJMU6WNWFzB4hMnMG99y8gM0rSZBEin4OGimuUVd+mpd2Oy6dBHx1PSnY+82ZnY5R3IQshhBD/pUiiLIQQQgghhBBC9CPDLUIIIYQQQgghRD+SKAshhBBCCCGEEP1IoiyEEEIIIYQQQvQjibIQQgghhBBCCNGPJMpCCCGEEEIIIUQ/kigLIYQQQoj/n707DW/qyBN//9VqW7ZkWZb3FbxgG5vVYAdMWBMCpCGdhGx0ks5ksvQy//Qzd/rdfe4zL+7z3Hkxd25Pz9yedN+ku5N0ku5OAwkQEgJpwhIwizGLwRiwMV7wJtnaLEuydHRfyNjyLss2S1KfV9i4pDp1qn5VdU6dOoIgCEIQMVEWBEEQBEEQBEEQhCBioiwIgiAIgiAIgiAIQcREWRAEQRAEQRAEQRCCiImyIAiCIAiCIAiCIAQRE2VBEARBEARBEARBCCImyoIgCIIgCIIgCIIQREyUBUEQBEEQBEEQBCGImCgLgiAIgiAIgiAIQhAxURYEQRAEQRAEQRCEIGKiLAiCIAiCIAiCIAhBxERZEARBEARBEARBEIKIibIgCIIgCIIgCIIgBBETZUEQBEEQBEEQBEEIIibKgiAIgiAIgiAIghBETJQFQRAEQRAEQRAEIYiYKAuCIAiCIAiCIAhCEDFRFgRBEARBEARBEIQgYqIsCIIgCIIgCIIgCEHERFkQBEEQBEEQBEEQgoiJDJmxaQAAIABJREFUsiAIgiAIgiAIgiAEERNlQRAEQRAEQRAEQQgiJsqCIAiCIAiCIAiCEERMlAVBEARBEARBEAQhiJgoC4IgCIIgCIIgCEIQMVEWBEEQBEEQBEEQhCBioiwIgiAIgiAIgiAIQcREWRAEQRAEQRAEQRCCKO91BgCQHLRcuUa7Sxr+e3kUKQWFpGmmOZ931bPr1x9w0Tnwc/zDvPHmOlJU0/vYGSf1cPr/+0/2tw38rJjDM//byxRp7mmuhO+rvqt8+B9/5nr/wM8pm3jrtTLipn15zUX9rl/zwVCD5OE33mTdfdcgx/Ig5318Ut9tas41QE4pxcmRIV1B9XYc4e3/OYxp4OfI+Tv4xfY8Imczo3eLz87Nc+fp0M1nyTwD6nudn0n47Dc5d74D3fwlzDPMdm77uPrhf/DnocDAprdeo2z6gWGKfNhvnuN8h475S+Yx64c9mRmJlx7MNUf48uh5Gjp78cmUROmTyF74CD94OJvpDoXuWw/KGE2YAfdZu50KTxeXDn/N9ZRNPLkg9l7nRrhLFGvWrPnXe50JvD3UHP6as9fruXz+ElevXaOxsxtTp4PonELSo4N6B8mN6cYVrrX24Nca0Kpkk3++XEfWgiUsyVdw40IzfZGZlC6bi1Yxe4cUFlkExnmLKV2cSveFWsySnqIVi0gUnYUQRHKbuHHlGq09frQGLaE0gbAoYslZtJQlczzU1rThicmjfEk6USEO1sbPpxxd1gKWLMlHceMCzX2RZJYuY+5MN8hwYsX9kve7qo8bn/6Ov1Ze41pPKssXJjAYcrw91F++RrO5nxhDLOqgcy+PTKRgyWKy3bXUtHswlq5lWXrUd2KZkuvmPt79WyVXa7tILl1I4l0YzIXfrl3c3Pcuf6u8Sm1XMqULE2d5Yq8gNmcRS5fMwVNbQ5snhrzyJaSHGhhmiusm+979G5VXa+lKLmXh3ThJE5lmvAToa9jPOx+fwpzwMC+8vJ3HHspFefMkZ9qTKJ3iZ91/JNymG1y51kqPX4tBq2IorD4gY7QZ5aWn/jLXms30xxiIVT/QJzd096LdTmMsMPgRvQ0c+uA9vrbksPbhAuIjvifnS7hPxjSqJFa88CY/e20bRVEA0RQ/8Ro/e+M5yhNH3PT293Lj0C4+3bWf82ZvaJ8vV6LR6YmNjrhPDng8ciK0evQ6Dar7O6PCPeTvvcGhXZ+ya/95Qm0CYZGriI7Vowuz3YyfTzlKjQ59bDSz2teEEysGk97jvN9VCmKS00lIzGPVquxhd4T7u86xb+dudv/9Jk7/iGRKDTqdGqfJAcSQmhTNd2Vcq0oooiTDSEpRMckRd+c7w2/XKhKKSsgwplBUnMzsZ1eOKjoWve4etwFVAkUlGRhTiii+WydpItOMl+Ck8eRFbESSv2oZc+M0RMVmsWzDapbOS0A9WxdE7xo/vTcOsevTXew/b2Z4WH1QxmgzqL+Lc/t2snv337k5Krh+h92LdjuNsQAAXhNn//Yx3/bk88PnHyH/u30FRxjh/lh6LQiCINwjalJW/YifrRr5ewlXVxNWIDI5Fd1YvUW/mVtmP8gMZMV/d5a+KHSFbHm18F5nI0QKdIVbeGCyO1MUOgq3vMp35rC9Trqt/UAM+qihgXhEegWPp9+7bAmzQ3J10RQIrqSOGVy/ox64duvDUvMFB2/6yNiyngLd9+ZSjjDge9Q6xyB5sJk6sXhU6BMT0I279EWi32nD0mPDKanRxhsxaMYvOq+zB5PZhhs1WkMC+mjlNK+S+ujr6aTL5iNCn0BCbAhXXX199JjM2NwyovRGjLpZSjNA8tgwdVrwqPQkJuiY+ioiL84eE2abG9RaDAl6opWzFJC8vZg6zTilKOIS49GGktlw0uCjb+CYZFF6jEbdJHdgZr4MfH0DdVEWhd5oRDfpLSAvvaZOzE6JqLhE4rV3czmjhMdmotPiQaVPJEGnHrf+Sf1ObJYebE4JtTYeo0Fzj4NZ6HmHcM7LvdBPd1M3EhCXGT/mcl6fo43bTiAuk4RIOUhuLF1d2PrVxCUZ0d6NpTFSP06bhR6bE0mtJd5oYILwHMSLw9SBuddPhM6AMS6UOjS1viA43VTqx4zxOgdiOqi1BhL00YQbUry9JjrNTqSoOBLjtVNa3j2d+u51mOgw9+KP0GEwxoV4bsNzb+OlhG9gmxbZZHePvQ5MHWZ6/RHoDEbixiwUCbfFRJfNhSxSh9GoD30FgOTG1tWFxRuJMck4rMx9fRa6THb80UYSDVGzu4ok5DEaTL2/De377WYTPU4faq0RoyEqxH5Got/eTWdPHwptAolxo/d96O9uojsQXImfrNqEnY/pCjfehdduw+3Xpz/+nEB/F9XH6umXZ7N0nn7C+j4z/fromHI/jg6+Tx6gibKEpeo93v68icCeXzZOvftvnBmoQeqMzbzxcmmIG2f48bSd5C+fHqS2+84GYlpy12/nqZWZQ88BSU5unfyKw1WXaez2EqnVofLasff50WaXsfHxdRQbhyKc13KVw3v2c7LBhiJah0bmxupwE2mcS+GSh9lQnk30FGu8r+cSez/YS1WbZ/B3Mdkr2PLEOgr1Y5w+r4W6o/s5cOIa3X4NWo2Ew+5CZSxg5aYtVORoRzf0KaRx39zL2x9WY5UAlCStfpFN6hN8erCWoaLMZf32p1iZGcrzil4sVw+zZ/9JGmwKonUaZG4rDnckxrmFLHl4A+XZ0ci9XZz4wzscagvslKIwruDH/7iBNDXgvsX+333A2Z5ABiLznuHnzxcwag80yUnTyX18dvjK0NJGWSz567ZR7jnAx9924QOQx1H60utszowILw1eLHVH2X/gBNe6/Wi0GiSHHZfKSMHKTWypyBnx7FWIZSBZqHrvbT5vchFoAqd499/ODJSxmozNb/ByaRxywGup4+j+A5y41o1fo0UjObC7VBgLVrJpSwU5o5YOSTibTrLvs8NcGTpQYvPXsW35iE32JjOFfN7h97Rx8i+fcrA2MDED0OauZ/tTK8kcapA4b53kq8NVXG7sxhupRafyYrf34ddmU7bxcdYVG1FPJ1bMWt4Dpn5exsqjnQt/+g2fNbpBFk3Rcz/l6byo4G/BfPpD3jlopfhHb7AlK7C8zd3wGf/z0QVskgLjyh/zj2ujqXn/bfY1DcSWqDye/unzFEVLWM69z9v7mnBJgSNq2/9f/J9fji4/j6kJC6AypiC7foA/7D/JLcdANhSJlG7/EZsKdOMOLiTLWd57ez/NnqBfRs3j2Z8/y7wocNXv4jcf1eAYWJmoSKjglVfXkaoGyXmLk18dpupyI93eSLQ6FV67nT6/luyyjTy+rhijGnDfZO/bH1IdCFook1bz4pZIKnd/xWWzb/BrUza/xWvLNdza+zYfVlsD51KZxOpXX2V1gifEvsDNzZHpX9yE+sQE9SOMOjdojGN79dXVJGHh6uE97D/ZgE0RjU4jw2114I40MrdwCQ9vKCc7xM5IcjZxct9nHL4ytFxWFpvPum3LmSwyhF7fxyq3LURW7uary2YGz1LKZt56bTmaW8H9kIL4PCO26x30B3131Lxn+fmz84jCRf2u3/BRjYNANVKQUPEKP1mXGkY+B0tl5uLl4LFb8EoAPRz73f/FtzLwy9So8dDvhzv97ZbISnZ/dZmhqpvC5rdeY/lgQPNivXac/Qe+pc7sI0objb/XjkthpGDlRjZX5A2tDhmzbURxcueXXBnoT4lMo/yHz/JIroyGb3bx2bGb3GniUVmr2L59LXNjJq5LkqWK997+nKaBDVttp97l34YCMpvfeJnSYQE5xDHawPFOrb8NgcfEleOHOHzqKl0+DdooCbvdhdJQwOqtP2BldvRAe3Ry9S+/4a91zsFj2fTyWtxH9nD4avdgvdXO28SLT5WRqAbJco73395Hk0sK1PW2/fzXUHAdXhYh52PMQufse2+zf3hwZd6zP+fZQHBl128+omYouFLxyqusCwTXacS7UNutkqTVr/Lq6gQ8IfXr4Yw/pz9v8HbXUmMGEnLH3Vh4Rvr1iWJKuYcDH39LV2CwSVzpS/zT5swQPlOYCffHZl53+Hq4WnmBDq+alEVlzBs2EZShjE0np2AukbdqaO7TULxtBz+oWMrixYtZWJiOIWbiKy9S7y3OnrmJU+7HXN+BbtlGHl1VSn6in46GZlobGvHnLyFHpxjMz4W9eznvX8T211/hyfUVrKhYydIsBY0njnPiSi8ZC/MwqGTg7eTEB3/kSHsqj/7jmzz32CpWrFjJQ0WxdFVVcrE9hpLSEDen8HZzpfIiXf399NxqI3LpU7zwzFY2PFRIou82l2qucOlqL+kLBr57sPwsXNz9Dp+c7SC2/Hlee2kraysqWLHAiPXCUU6eqqMvs4TcuKBNNKaYRq5JZM68IrLl9VxudSL5TNR36inbtJHVpQUk0059UwsNjX7yl+Sgm+R4vZ0n+OCPR2hPfZR/fPM5Hlu1ghUrH6Iotouqyou0x5RQOleLQq5Gn5FL4dwIGi810atIYfHyPGIVgDwKY/Y85iVYuHytG4+2kJWLEhm+ELSfjm//xO8P1dOrnc+mF37EM1s38FBhLKbTX1DZasPh9GFY8SzPP7qU3EQdkUpvGGkkLBd3884nZ+mILef5115i69oKKlYswGi9wNGTp6jry6QkN25ws56Qy0CmJDY9h4K5kdyqaaZPU8y2HT+gYuliFi9eSGG6gRi1HJ/lIrvf+YSzHbGUP/8aL21dS0XFChYYrVw4epJTdX1kluQSF1R3+ju+5U+/P0R9r5b5m17gRwP1LdZ0mi9OteN09iHF5FG+NIQNZULMJ1Ivt86e4aZTjt9cT4duGRsfXUVpfiL+jgaaWxto9OezJOfORMtHz4W97D3vZ9H213nlyfVUrKhg5dIsFI0nOH7iCr0ZC8kzqFGFGytmLe+EdV7G5JehSc7EYL9KXZcTWeoSlmRoBo9Hct7gwF+P0eruQ5FdxqLkCGSATG0gY04c3bVNaMvWsDA+gujUXAqyZNRfbsUVU0RF+Vy0Cj/y6FRy8+Ix19zAShobXnqGtaWLWbx4MYuLs4iPViGjH9OFI5xu6iNK10fj7UiKV2+gojQfo7uJhq4ebrepmb90DuONo2VKHWk5c9C2X6LBJhH/0LM890gJKbEaVDKQa5KYk5eK93otzpKneH5DIYnaCBQy8PVcYO/e8/gXbef1V55kfcUKKlYuJUvRyInjJ7jSm8HCPAMqhYakuYXMnyunvqaFXknCVHcL5YJHeHRtOfOT+rlV34Uqt5wl6RqiE+cwrygbef1lWp0qMpYuY67GFmJfoEAzLL2Ez1RPp76MTRtXU1qQDO31NLUE1Y9Q69xY5BoS58yjKFtO/eVWnKoMli7LpO/UB/zxSDupj/4jbz73GKtWrGDlQ0XEdlVRebGdmJLS0Dag6+/g2z/9nkP1vWjnb+KFHz3D1g0PURhr4vQXp2h3OumTYsgrXzpqM6+p1Xc5mqS5FM6fi7y+hpZeCclUxy3lAh55dC3l85Pov1VPlyqX8iXpaKKH90Pq3M08syaJzksN2KR4Hnr2OR4pSSFWo0KGHE3SHPJSvVyvdVLy1PNsKEwkJkIRdruc0XiJfKDOzEHRcIXbbi2Ln3yBLSuWsrgkj3lLllGgbKCmpRdJMlF3S8mCRx5lbfl8kvpvUd+lIndwMzUflkuf8u5fT9OmXc5zr73ME+sqqFixkGTXFY4eP8ml7niK5iURKQ/Un+Ftw0/PzS70ZY/xyMqFzImx09jQTOO1LtTSFY43p/DwpvWsKElH1d3ArZZG6l3ZLJkXN+FdF5kylvScAuZG3qKmuQ9N8TZ2/KCCpYsXs3hhIemGGAJhdYpjNHxT7m8nIzlv8vV7v+eLy/3kbHqRHz+zidUrV1Cep+bW6dNUX2ghsqiEjGg5ICMycQ4FeTG0XGzEIYvC39aMd85KNqx9iAUZKjqvt9JtasGZVcp8gxK/PJrU3DzizTXcsELahpd4Zm1pILYuLiYrPhqVbKr5GLPQ0aXlMEfbzqUGG1L8Qzz73COUpMSiCQRXkubkkeq9Tq2zhKee30BhopaIQHANPd5No92qMpaybK4GW0j9ugrFlMef0503SNjrvubv1+yoM8tYvcDIyAeMZqpfnzCmVLZiczjxGVbw7POPsjQ3kZjIB+g+5wPugbqjr4xOIC01EZ0KQEm0MYX09HTS09NJS4wJ/fa4sxPN2uf4wUPzmZs9l/krtvCDJTFAD1frzEFXpRVoDKksemwDhYN72CvRzlnJ5op4sJ3nSJ0DCfBZb3CpzQ9JiyhJvbPMRk5E4iI2rEoJc3lSL+6CbfygLAu9Wo5Sk0zxI9vZnK0ASxX7T7QzdK1QwlH3JZ9fdkD8Kp5Ym0/sQIGoDcVsfHwx0XRz5vNTdPaHn0YeEUdyWioJWtVAUUaz9tktlBVkk5FdQNmmxwkU5VXqzMHX98fiw3rjEoFiKyE1Un7nS0hctIFVKcGlpkKbmEZqom5UoEIeQVxyGinx4y8Dk6w1fHm4BR96Htq+jbKsWNRyJZrkYjY8tZZYWyCvKl0SqWnJ6CPk4aVx1PHl55dxEM+qJ9aSP1SgFG98nMXR0H3mc04NnoSplIGS6ISgMlBGY0xJH2gDaSTGKEFyUPfl5wRO6ROszY8daBdqDMUbeTyQAT4/1TlUzyUrNV8epsUH+oe2s60si9g79W3DU6yNtTHZmRwuhHwO46RTs5bnfvAQ8+dmM3f+Crb8YAmBalRHcDVSaAykLnqMDYVDr+xRauewcnMF8dg4f6QOhzSdWDFLeQ/nvIxHrkaXnMnc7MDrKRyd9qCNcbx0nfl68DUr9k7b4P8pohMxSq10kEZxemTgc5LSMCqs9AKqxHT0KgA5al0SSRoXDh8Ql0NuRvpg+aXED6wUkdx0NVsAcPnyeOKFLZTPn0v23PmUr1uGEaC3G8dEe6coY0hMm8uSinlEAKYbnUQkxA9OLuSRBgw00+BMpqy8gIykoGV1Cg2G1EU8tqFw6BUjSi1zVm4mEJ6PUOeQQB6BPimF5PiB8+68jaJiB9vXLiI/O5uCZetZU5BKvEaBDDkRccmkpSagHRZoQu0LRqZ30hm9lme3lFGQnUF2QRmbHh9ZP6Za54LrQiD2pSZoh+KiZOXGpTb8JLGoJJWhkJLIog2rSAm5M5Kw1nzJ4UBgYPu2MrJi1ciVGpKLN/DU2lhs41XWKdd3ORH6JFKS4wkcrpPbigp2bF/LovxssguWsX5NAanxGhSy0f2QTB1H6twlVMyLAEzc6Iwg4U49RU6kwQDNDTiTyygvyCBJpw4zn8xCvBxZZ5TEJKSSnp5ORnYeuRkpxA/UAedtBRU7trN2UT7Z2QUsW7+GgtR4NArZwOHU8eXnNdiJZ9UP11Nw52aDKo6C9T9kVTzYaz7nwMC4ZXTb6CBqzXY2LS9gTnYei9ZtY32aDDw3OHROz+ZnHmXpvGyy55Wy8YlVGAHHtRo63JMcojKahLRUEgMBGWW0kZSBeJKelsjosBraGG3q/e0kvN2c+9tHHG+DjI072FaaNvBKLjmRaaWsLYkGXxPfVrYSOGQlMYlpJKrsOAH63cSvf46tq0rIycwkd8kaVmUrABc9Vg8SIFfrSErS4AoEV3JyMwZja3rKQOybcj7GLHRiEtOYu6SCQLO4QWdEAvFDwZVAs3CSXFZOQUZS0NL2KcS7abTbO0Lt18MZf05v3tCPtc0GQKROM3p8OVP9eqgxRaUjKTWNZP19sHnh98gDNVGeMepsFs/VBh18BPGZcQD0mhxDg05lPMt2vM4T8zQjCkpJTIIeBRKmWwNBWyYP3KVtO82Zm46hJSfIiSt9hV++uYakKe91E0dx8YhXfShiyVuUhgzovnSJzjszZcnBjVPXcAPxxYUYR3xXZEoB6SrAfInaO8s6wkkzgjp7EXO1QaUTYSTLIAN6MU04Qg6QyQMdfNvpM9x0DJUa8jhKX/klb65JGj0xnjIJR/05Gn2Afj7FI15HINflsDh9ZFMIM82NU1wLFCiFowuUgkCBcqk2aBnjDJaB5LjBqUAGKC4cefUzkpSCdAKntJahalDPucCBMn9kfZPryFmcPsuBQk324rkMq0bxmcQB9JqCJlpK4pft4PUn5o16n6gyJgG9AiTTLSa9PjOjQst7OOdlYgqi4vSoAKfJimdg2Zlkv8rhU30ULk0EwNFlH4pFkoOGM9fpT11A5mABeuhp7sILxGUNfw7ZPbCsWp2YRuxYFbDfTJNZAnQsfWTp8PjmJ7DMNSImhOcE5UTPLaM4Bug8O+wxE3DSWFmDK6ucYsPwIY0yfhk7Xn+CeaMrAwmBysCtsSqDcg7Li+KGBj1KA0ufe53tJbrx6/lU+oJh1GQvGlE/jFkEQqRp4osIYZMRCCltnD5zk+EhpZRXfvkma0LpjCQH9ecaCYTA4hGvyJKjy1nMqBA4mHS69V3JnOVFxA2dJAxLn+P17SWMu5eOPJq5ZcUEqlEVw6tRI5U1LrLKiwmuRg9avFTOWU7RUKGgNCzlude3U6KTAxKO66e45gIM80f3P6p4CucbABd1p+txjLVCXJXFwjkxQ/mXR5OUGgOAJmcB6UFPeCh1qSRFAr0m7L6RHzRNIY3RwutvxyfRe/0ghxr6QbuYDUsSRkyilGiN0QA4WttxDpafj96O2zgAVe46KkY+cib5AQUaTdBeNW4TTYHgStqo4BpuPsYmj55LWSC4craqjeHNopIaVxblxYbh3xF2vAuj3U6jX5/u+HNyEn02FwCqKNWodj1T/fq9H4MJE/l+3rvXxKMdceTKiEiUgM87IuJ7urlWVUl1XTOdll48Xgk/4O8PTIa9rn4kQBFbwEMF37D7aitH3vt3qtIKmV9USGHhPDINEUSGdUs5ZtSVt8DV8URiaMJubcHshnQ10N/NLdNAxOy9yfmzLcOT+XoINHcLzd0eSFaGl2YETbx2RCVSoI5QAD5GFuVoCmILHqLgm91cbT3Ce/9eRVrhfIoKCymcl4khInKGNgrpp7ulGz8g16egH7VxhhpdfDTctE8/zS3TwHN7vdw8f5bhJeqjJ1CgWJq78ZCMcobLoL/7FkOn9DyjT+lgBhiqBi10Bw6UlNEHiloXTzQ3sY/6n5miIX50gyQy0CAZXo08dF+rorK6juZOC70eb2Ac4u8PTAi8Lvqn+ojgtISW93DOy2SUukRiqKPH0YXdB1q5h9snD3MreQ2vFDbSWNVJn8VErxeilOCz1lJZ7yNza9BSaMlNV4sV0JCSErx/gYeeZhM+wJhlHHPjJsnZQasdiMljftLwK9xeWwcOQB6XOkbbGUNEGsuWxlN1xMyFU42szshHA0i2a1TekJH/dN6YAy1P9zWqKqupa+7E0uvBG6gM9AcqA66xKkN0wuDKmSkJsS8Yboz6oVATCJEj6/YMkcdS8FAB3+y+SuuR9/j3qjQK5xdRWFjIvEwDEaF2Rv3dtAQCA/oU/eg6oNYxKgQOJp1ufY8mIYyTFJG2jKXxVRwxX+BU42oy8jWAhO1aJTdk+TydN/xiyIMWL6MTYicYtPVjvtUVuGupSxzj4pYKXaIOOd1IXbfo7l+IbuSNKU38qMfDlGrFwH/FDO+LZCrUCsDvDaGvn6KQxmjh9LcTkBxcP1WHC9AWLCBl1E07P/3uge/2+/EPvtHJg7mxB1CQvnDO8H1ovHa67BJgIC1uqK54epoxBYIrxpFVKOx8jCeCtGVLia86gvnCKRpXZxBoFjauVd5Alv80eWMH1zDiXXjtNtx+fXrjz1D48XoCHyRTjC6jmerX7/0YTJjI93OiLFMMXHEP/p0MGQwLOlJfE4ff/yPH2iRi5iyj/OEs4jUq5DLov/0NO4+0Df2xQs/Cp94gqvIwx87U0Nxay6nWWk4dBG1mKWs3b2BR8uidDyckVzBG20Smihw4cR6c/T5AAZKHvoErbrb6C1S1jvE8hDGFFFTEKfyBzjScNCPzopAzuihlgJ9Q3gyo0C/kqTeiqDx8jDM1zbTWnqK19hQH0ZJZupbNGxaRHDnda2kS/X2By3kK9eirggDyUbvzhpfGM1SgXKhqHVU2YCQlBVRxCvwDBTqTZSB5+gau8tqov1DF2Kc0BVRxKAYyIPX3Ba62K9Rjv79bPvbxzxwZitENMrDz6/AGSdPh9/njsTakmDksK3+YrHgNqkCD5JudR2jjbgst7+Gcl8motAloZdDj6MTuBV9vDV9Xw5IfFWNQO4kB+hxd2HxgVHpoP3uCZmUez+UG3TG683onRrzeSXLR2WIDNKQkx4x5scZjvkUPIE+YQ/ywwZwXW1snbsCQmRDie31VJCxcTtrRL2i9Wsl1Wy4LdRLdNZU0RZbw4+yRW/NJ9DUd5v0/HqNNimHOsnIezopHo5Ijo5/b3+zkyHiVQT5G/J/ElPqCYUKs2zNKgX7hU7wRVcnhY2eoaW6l9lQrtYHOiNK1m9mwKJlJQ4rUTyAEKlCPHRjGjhfMRH2Xj1FuIVAlsHB5Gke/aOVq5XVsuQvRSd3UVDYRWfJjRlajBy1eysfob4dIuJ0Dm12qVWP+nUwVgYLA7sKesS4oTtA2xvruoZ9Di1khC2mMFl5/Oy53O1dvS4CKlJyxLg72Y+0ITFXUcXEMvsHLa6O10w0YmZM0YoznMdM8eOf4znBbwtXZgg3QpCQTMzK4hpuPCagSFrI87ShftF6l8rqN3IU6pO4aKpsiKflx9qiNT8OPd2G022n069Mdf05OhlwZ+Aa/NPoTZ6pfv/djMGEi38+Jcki8dJ//gmNtEiRv4OUdFSQElZZTOjO64qriyF/1JPmrtmJvvcalC9VUnbuOuekse35vRf7T51ikn8L9QUlijLaJv989sIxIReSdDQLkqsBdLI+CjEde4qWiUXs+jxZOmlmgistn1ZP5rNpqp/XaJS5UV3Huupmms3v4vVXOT58oc71IAAAgAElEQVRbxKhiG2OQ6ff5xgmOclRRSsCNz9M/5t9I3pGjhjDTBAoURcYjvPRS0eidt8cRVhmMQT5wEcWjyOCRl14itGoQeNWE23dnd9URJO+ku9veDd7u83xxrA2JZDa8vIOK4Q1ycCfL+1E452VSKh3GaGhyWDD3OlGfPEJn1qM8maJG6YonVgldfSYsbglf32X+frqHuOVPMzfoloevt522XiA2ncTgmVO/iVvdgCx+nPcje7G1tuMC4jMTiBz2fx5MgXWFJKbFhvzYgEJfRHnuIXZeb6Dycjfzl7qpPtOFofRJUkaOFr3dnP/iGIHw/DI7KoKXJzqRZrQy+KbeF9xzKuLyV/Fk/iq22lu5dukC1VXnuG5u4uye32OV/5TnFk38qhPkKgIh0Idn7MDAqBA4mHQW6ntIFOiLysk9tJPrDZVc7p7PUnc1Z7oMlD6ZMmrS8d2Kl3LUUUqgH1+/d8w+y+/1BFYxKCPHvcjx4Ai/vx2Lz2mixwOgIyVujGUwHhMNtz2AnOR5KUMXAN1dgWXUY7wP2dM91p3jfkyB4Ep8VvzozaHCzcdEFHqKynM5tPM6DZWX6Z6/FHf1GboMpTw5Orje1Xjnu6/7dTkRGjXQh88zul3PVJy7f2OKAN/XZ5RDEniHKIA2M2v0Uj3/8Gor9dvp6uge2IJeiTatiBWbd/CzX+ygNBbw3KC6qW+KeRjrOQsJt6WLXgBtKsY7DwCqDGTGywAftuDnrIN4LQ1culhLa68UfpoZJdFv76Kje+C1KEotaUUr2LzjZ/xiRymBYqsmuNhk8oHnfLyuEQFFwm2zjrOxhYq4tMDzTZKtA+uoZ128OLpHnpvw0hgy45EBPts4zx96LTRcukhta+9A4Jt6GUxEZcgkcEpt4zyj48XScImLta0MVoO4tMAztZKNjtEHitfRzVRr7mzo726iG0CbSdboBnlfdyThnJdJKXUkRgP00tF8lkOXoyhbOy/wPKxSR2IMgIPO7jZOf7qfelUJGx8aPlnwmAJ3hRXGDILHZD57O21OQJceeD/yKB66mixABInpuuFXXD3dNHd5gTiyEqbwXlm5ltzywGC37XQ1LY1nuOBIo6wkfvQV3f5uAuFZS2bW6OWo/hmtDFPrC+45fz/2rg66B17Fo9SmUbRiMzt+9gt2BDojblQ3Td6mVXEEQqCErcM6+nlEr4NRIfBO0tmo7yGSa3MpL9IAbZyubqHxzAUcaWWUxI++L/DdipcqDBmB/keyBVaZDOfF3mlDAmTxmRimv/nHPRZOfzsx/8DnRo2xQ7Gno4ZaG6DOZXnQqpzByfCo9yFLuDqbsQLRqSlED27Ubac9EFxJTxh7lWE4+ZiYHG1ueWAi13aa6pZGzlxwkFZWwuhmcXfj3f3dryvQJWkBcNldo/IyU3Hu/o0pAjyIE2WZfGA5sn/wbqvXcoWv9x6gumsmd/GRE6EJ9CRu68hJpBd7h3XY82Xerko+/N0nXLINbw3ymAwKMyMZXG43JWauXB2xCYXkoOFCKxIQW1RC0p3ALNeSuywHFWCqqaN71PzaSf2hT9i5rxqrfxppZpSXrsoP+d0nlxhebHJiMgoJFJts2NIaeYSOWDXQ10lH8C41PgvXLrSP8z1yYnIWkyUHuq9QaxpeTyRHIxdbRh58eGm0ucvICRQodaMLFGf9IT7ZuY/qwQKdehnI5IpAw/VLAx2qF8uVr9l7oBpzZC7LAhmgpq571MUPyVnPoU92sq/aOnjHQR6Tw+LAgXKl1jR8QCw5aLzYEsJGKKNNlM9wmqo8QhO4+u62jhoUee0dWEc+kzSNWDHjeddO/bxMShFFXJwa6OXyoWPY5q2n9M7V+MGJspVLez/gQKOCwk2PkD/sPU1ebK2BJdL6EUukPd2BAZ7ckBaYQEsO6r/Zy75vmwP7Fni6aQ6MDskePjpEcnXRYgOiU0mOntouA1EZy1mkB3pOs2ffJbw55RTEjvEZ8ggC4dmNdXRloGNUZZiOqfUF4ZqxOuftovLD3/HJJdvwgZ08hozCTAIhJYTOSB5DzuIsAiGwluEhUMLReJFRIfBO0tmo7yGLImP5IgLVaA/7LnnJKS9gzGoURj5nK15Onxxd/jLmqgDzldH9j7eba7VmQEVOae6wDebuDhnygWfJ/EMBmStf7+VAddcUdwqH8Prb8SlikkmJAujF7BjRon091Bw+hw056as3UDBYeBJ9A8uotWlJIzaj6sfcNMadY083zYHgOvDcsoSj/hv27vuWZle4+QhBVAbLA8GV03v2ccmbQ3lB7BirSu5OvBv8tqn26+EIeyygRJuWTjTgMvcM3AgLynu4cU7qo+3SSU5ebMUpTSOmjPgcYXbcJxNlL302CxarE48fQMLTa8NisQ88IxVEHonBGAU4MVs9SEj03jzNiaprWKXxOn8vLrsFa687MHCQ3DisFuxuH0j9OG0WbM7AUiW/tw+bxUpvv4rkBUWBO3p1B/n6cs9A5fXhuHmczyvNAPj7ndgsVpxeP/jaOH6klp6gPPebr1JV7wJ1DoszJ1uXIeG2W7DYnAMbF0Qinf+Mr2q6cEuA18bN47vZX98PMSU8VpEWdHdIjq5oM4/lR0LnN+z+5sbQFWXJTUf1PvbWuEmtWEfu4GA5jDReF3aLlV73wP1QtwOrxU6gKJ3YLLZAWeDH22fDYu2ddHMlX9txjtT2BAWCfsxXqwgU22KGFVtECsXZaqCdI/uPc7W1C1N7A2c/38VZDAT2FnFis1iwu4YirEJfwsaHU5Bh5tjOA9R0BeqC19bIiT2HaB9jg5tw0sh1RWx+LJ9IOvlm9zfcGCpQ3B3V7Ntbgzu1gnUjrgRPpQzkkQYCTcCM1SOB1MvN0yeoumZFUugo2vwYgVO6m29uDL06SHJ3UL1vLzXuVCrW5Q5t6KTQU7LxYVJkYD62kwNB9a3xxB4OtQ9sKOZzYbcG2kooJspnv9uOxdob+B4k3A4rFrsbHxL9ThsWm5NANQrEBmtvPxHJCygKNEgOfn2ZnoHexOe4yfHPKzED+APt2drbH2asmJ28Iw/jvExKiS4hsCOtty+ZiofnDA3U5GpijYFK02t2oVv8Q7bMH7mrs4uuph5ARZweHINxB/w+D15ArQk80+jpqOLgkfN0KKNRApKrkxYrEJNK0ojJcL/5FmY/oEtA7bTSO5Xd1dRJLF6WDPTTbYuiqCxn7PKISGZBoDJQd/BrLg9VBm4e/5xAePYHzofVht06Ov5brI4xntOU8DptI85vH1G5+egIrS+w2a1Trx9M0q7Hq66Sd6C+Bx+bHY/fR9vxI9QO74y4WlWPCzU5izNDWKaqQF+ykYcDgYGdB2roCgQGbI0n2HOofWCTSh8uuzVwXHeShlHfva4x2pXFimOMh2klb6Csh/dDNpwDdU2dtJhANerGFlVEWc44d97CaZczHi/HqnNWLBYLNrsD66jjtGB1eMa80ybXzWfTo7lE0sWRPce5dWf0LDlp+nYfRzohIvdRHhuMBeOPjSSfC7vFNlj+PrcDq8WBR5ICfbutd6D9+OizB+r4xC1dTqTBSKCKB3bql3pvcvpEFdes/binPEaTwu5vxxSRTnlZMjLsXDpeM7RLcX83V776M/sa+jEsfppnyhODVrD0Y77VDcgxZBqGL6P2OWi77QRiMEa5sdndgQmm34cnEFwDm/p5Oqg6eITzHUqileHmIxRqkhYvI9AsbEQVlZEzdnCd0th3zHg3hXbbF5VLfiC4Tt6v2+zhjT+nMRaISJpPThRgbqBz5JLFMPt1V8M+3tt5gAO73mPPNWfoMWWEUZ8jzArZv/7rv87WjiKh8zSz/7/e5fSoLd1ieei1n7ExbfgdC0/7t3z0h4M0emJISIrA3m4mcuHTvLK1eMyrxvS3ceg3v+V4z/Bfx6/9KT9ZbmXXrz7kyrAGIGfuM//CS0VKOs7u4a/7azBLII/SoVV48GjyWbXQxtcHGweurCnJ3fYk6TeOU1V7G7tCi9GoReV1YOqy4Y8vYM3WrazIGrnV/ghSD6d/95/sv3NjVJ7NEy8WUvfZl9RaZMiRAjtsJyxky/YtLEkc+/mVS4f28OXpJnoj9CQaIpHsXZj6YilYs5XHV2aPHnhOIU1/2yF+89vjDC/KeNb+9Ccst+7iVx9eGb78WT6XZ/5lvGc3JOz1R/ny6ypqb9tRaI0YtSq8DhNdNj/xBWvYunUFWSPeGeDtucjeP+3mgnnwGj+G4s38sPgmH/758sBO3RC/5if805qkoYQ+O9cP72T38UacBDaC8PtUpK/YxirfAT4+ZSV501u8XhY3dJ7CSYMH06VD7PnyNE29EegTDURKdrpMfcQWrGHr4yvJHtp2OIwy8ND+7Uf84WAjnpgEkiLstJsjWfj0K2wtDlwh9pgucWjPl5xu6iVCn4ghUsLeZaIvtoA1Wx9nZfbIgYMP+/XD7Nx9nMbAgSL3+1Clr2DbKh8HPj6FdeAvoxf/mF9uyx7rhI4wXj5fZFn7n3hndIPkpz9ZjnXXr/hweINEPvcZ/o+XivB0nGXPX/dTE2iQ6LQKPB4N+asWYvv6YOB1XoAy7zn+9x0FU48Vs5h3COe8TMxx8Q/837tuoV3+Cj/bnBV0V9iH+cRv+a+vOlFnP8o/vLCC5JHhwtPM/v9+l9O2gZ+1y3n1nzaToQaf5QJ/fXs3da4IDEkxuLt6UBc9zo5tSzCqwN2wm/98/wJ9WT/kn19eGHR3yof5xO/4r6867nwoy/7hn9iSGfoSbMlazfu//ozG2FW88ZP1pIy3RNTTwdk9f2V/jRkJOVE6LQqPB03+KhbavubgncqgyKAwppla64j0siye/uUrFA+LTS7qd/6KDy65hv9tRAFbViupPDRZX6AgozCG5pFfFlL9mLxdj+KqZ+evPmBkdlUJmcS7Wmi3K9AajWhVXhymLmz+eArWbGXriqxRr2IZj89+ncM7d3M8EBhQyP34VOms2LYK34GPOTUUGPjx/9pGdtDShNDrez9th37Db0e2K2RkPf1LXhl+knDV7+RXH1xi+GFHULTjFzyTFwVIWKvf59efNRK76g1+sj5lwmfl7228HKfOAZF5xURer8EyslSynuaXrxSPc7HDQ9eFg3z25RlaXNHEJ2nB3oG5N4qMZRvZ+shCBp+ImGBs9Fr+JX7722Mj+voUNv/iZZKO/Td/qHIMT5S8mbdeX07cRPXK0863H/2Bg40eYhKSiLC3Y45cyNMvLqP9T++EMUbTMLX+dhJeK7Vf72TPySb6IuNI0itxmrqwR6SzZM0mHlmaNviO98Dfm/j2d//Nwc44Kt74KRuCg1VfHR//Px9TN/A+Jvmcp/nnl4uJ8Vm48Ne32V3nIsKQRIy7ix51EY/v2MaSO6+4mmo+QiVZqX7/13zWGMuqN37C+vGDa4hj33Hi3RTbbcGW1SgrD03arysyCtE114Y1/pzOWOD2obf53XEnxS/8L57OH93qpho/3Lf28f/+4Sw2Ylj80s/ZNjeSkGJK8ibeer1ssI2N/TnCTLs/JsphkDwW2prasLhlaIzpZCRN9uLwaXyX20JbSztWt4youBTSk3Tjb4ThddDV1o7Z7sYnU6M1ppCaMM28+fowtTbTaZeI0CeTkaJHPUmQlNw9tLV0YnX5UMbEk5KagHaS3TvCSTNTvI4u2trN2N0+ZGotxpRUEmImKDVfH+bWFjp7/WiMGaQnRIX8GiWvs5OWFhO9UiSG1AySdBJNn/2aP1b3kvHkv/DqgpgZSYPkpqethU6rC58yhviUVBK04+9eOLUykPBY2mhqs+CWaTCmZ5A06m8l3D1ttHRacfmUxMSnkJqgnXgTF6+TzpYWTL0SkYZUMiaq6yEJJZ9T/Ug3lrYW2q1uZFFxpKQnoZsgk+HHilnI+8DnTvm83AOSu5vWW+3YvEpiEjNIN4bexu4eCbeljZZ2K25ZFHEp6STpZm+H0Cn1BeF9wwzWOS+OrjbazXbcPhlqrZGU1ATC+zgvzs4WWky9SJEGUjMmbnPDPRj1/f6IlzNIctN9u4VOmxsidCSmp2KY/KXmdyFfHixtTbRZ3Mg0RtIzksKskyM/d2r97UR8fSZaW004PDKi4pJJS4qddMw11bx2t96i3eZFGZNIRrpxzN2rZz0fk2ZztuPdsC+bUr8e1leEORaQeq+z538+5KJuA2/+QwWJYyaaSvzw4rh9i3Z/ItlpI15xNUZMkZo+49d/rKY340n+5dUFxITyOcKMeWAnyoIwNT5sDRe5qcyjJHPE3QHJwtl3f8W+1lhWvPYzHh1cwRBOGkEQBEEQBOG7QcLVfJQP3juKe+lzvLwxf8af8ffZGrh4U0leSeaIVZ8SlrPv8qt9rcSueI2fPZo2xivDhNl0H1xeFIS7wUv3pUN8tq+KzhGb0rhaznCyFWQpy1iUpJ5mGkEQBEEQBOG7QU5kxsO89I+bSW3Yw66LtsmTTJG3+xKHPttHVeeIjWNdLZwJDDZZtihJTJLvAXGnXvjekMllSJ2H+cPvu1halI5eLdHbWc/F6np64hbwxPbyUUtqwkkjCIIgCIIgfFfIiUgu5ck352Nzz8K71WRyZFInh//we7qWFpGuVyP1dlJ/sZr6njgWPLGdcjHYvCfE0mvh+8ProO1GLXWNt+nqsePyylBFx5GcXcSikmz0Y8W+cNIIgiAIgiAIQki8ONpuUFvXyO2uHuwuLzJVNHHJ2RQtKiFbDDbvGTFRFgRBEARBEARBEIQg4hllQRAEQRAEQRAEQQgiJsqCIAiCIAiCIAiCEERMlAVBEARBEARBEAQhiJgoC4IgCIIgCIIgCEIQMVEWBEEQBEEQBEEQhCBioiwIgiAIgiAIgiAIQcREWRAEQRAEQRAEQRCCiImyIAiCIAiCIAiCIAQRE2VBEARBEARBEARBCKK81xkAQHLQcuUa7S5p7P+XyVCoNMQmpJGepEMtpvfCuPq4+uF/8Ofr/QM/p7Dprdcoiwuh0oxXD+VRpBQUkqa5Tyqez87Nc+fp0M1nyTwD6ln9MglXxyWOHq/FqlvKpvV5xExaDBLO9jouXWmgrduJV6khLiWH+SX5JI9bhj6c7de4eKWB9u5ePKiIjksmu6CEeWkx4wSq0NN4Wr9h9ykFyx5ZwVytIoxyCDo6RwtXrrUzupqkUFCYxv1STYQZEmp767vKh//xZ4ZCzybeeq2MUELPveaq38WvP7iIc+Dn+Iff4M11KajuUX6kvttcOG8ha1kRBiVI7k4uV7WTVLqAxMET4MN+8xznO3TMXzIPw+wGwrvIS8/1GuqtfmJzSsiLA9vNK1w3+4jOmk9BwnfmQL/HpjFOEcJwf8UKj7mGI18e5XxDJ70+GcooPUlZBRRnRCEzFt+Fcd3MkJxtXL3ainOcqduY+s1c/OYkTe6Bn+Mf5o0315FyrzqbENwfE2VfL00XT1Pd3YfFZKUfUOuNxKpkAPglD709VvokkMfNY+22razMjha3w+8GyY2pvo6WPjVJufmk3PezgAhynvg5v+hr5+h7H3PO7gf8oSUdrx5GGVmaPu++mSi7Gr/iL59fwqW4ifafX2J+9Cx9kdfCtWN72XukHjtAUjbr1+VNkqaHmi//zO6zHahT57MgNwGdu5Prf/8zx/6eQcWzz7JubszwtuuzU3fwIz6pbMOnn8ui+Zkkyuy0XjnIJ8cOkrDkSXZsLkavDD+NOmE+edIH/OntJh59cTvlyeF3Q77eJi6erqa7z4LJ2g+o0RtjiTIuJX3ebEyUJdymeupa+lAn5ZKfohGx7y4Kub1F5PDEz39BX/tR3vv4HFMJPXfFBLFcnfUYb/5iNeYzH/Let91I9zDfkquZIx/8kSPdOWwryMcQbaLy49/zVWsqG/OKSEwYaNSuRr76y+dccim4qf1nXpq1QDiTQmnLLpqPfsq+ZhX5zxeQFwftp/ax92o/mU/mPcATZRHHhkxjnCKMNtk49X6KFX0NHHjvb1S5slm/4y2WpsjpqtrNB4eq6bjqwqtonN1xHczYuN5nq+XQnqP0qCKJCLr/4O934fYByFFHqoPauYTH5UGz6Bn+aWErH773Ld33srMJ0f0xUVYlseKFN1nhbmD3r97nQl80xU+8xtbsiKG/8fRQe+hD/nK6jq//9DeifrqDUsP9kf3vNH8vNw7t4ssOHWWvziVFc7930nJU0bHoVXYiptr2Q6mH9wFVQhElGW206ItJnpWsSbjbz/H5377gojODpYvjqao2h5DOTfPhD/nbWRORhU/yxtML0A8Ez4fLq/nkt59x/KO/oX3zR5QZ77RdCdvlPeysbMOrL+PlNzYyJ2rgxK1azN/feYej53bzaWoaL5bGoQg3jTqBJdt+hOu93/Llh/uIff0JCrXhdQ6qpBW88OYK3A27+dX7F+iLLuaJ17Yye9XET++NQ+z6sgNd2avMTdE8EFebvytCbm9yFdGxelT2iPtzAjBBLJcrNej0alxTDpozzUPbsd0cua0g/6kfsDAOOo7s5qtGLxlbtrI8IajPVyVQVJJBW4ue4tkJhLMghLbsdWLpA4glPU4FkpNehwfQkRL3ILd8EceGTGOcIow22Tj1PooVzsaTXLRBZPEqls2NIxLIWraBhztP0mpux2aYrXFdkJkc18vjqPiHn7I+6Jaw48I7/PvuFkjeyE9eKyPuziTaa+L4b3/DKbWW2Oj7tJ8cw4Mz01THUbj2UeZf/IjLrpucvGhm0ZqkB+gABGFmKHSFbHm1cBa/QcJaX0N3xiZee3QJcfV/DGmiLNmu8vdKExBP+ZqiwUkygDKumLXLj1F3tJEjx26x4Ic5RAHg5Na5ejxAwtJSMqKCQmdEKkuWp3L089s0VjfgWLKUWHm4aQBVIqWPlXH6nRN8/vVCsrfmEPWgRGrhnpn99iYMcrdwurobVHksztEi9zRzrqoDSGNRvp5hD00odBRueZXv2pnx2W9xzQwkL6TAoETqbeJKB6CfT0nS93dqKQhhu29ihRdnd2C1Yow+aiieRaTz8JPb72G+hIk8WPNMlYEULVx2gb3dSj9jTZQl+p02LD02nJIabbwRgyaUw/TR19NJl81HhD6BhNhQrnaEnkbqd2Kz9GBzSqi18RgNmpAK39fXQ2eXDV+EnoSE2ImvPkpuLKYubC4ZkTojRn3oV2y8DhMd5l78EToMxjhCKrIQhXvskseGqdOCR6UnMWHiZ9O9vSY6zU6kqDgS47X3/Eq1r68Hk9mGWxaF3mhEd7cvG0sebKZOLB4V+sQEdFN6sF+JsexH/INSiRwGn1ucjLujjts+IDKVjNiRZ1iFPiuVSLpx1p3ntiuHnEjA58HRF3jAJUIXNaJeyFHHBDoTn8uOSyIw6Q0nzQB18kIWxp/gyMWj1K6ZwxL9vZwp++jrMWG2uZFF6TEadffh3QUvzoE8otZiSNATrQw3kxJuqwmT1Y1cE4teH0PUBJ8luS2Yumy4ZJHojEb0IReOhMdmotPiQaVPJEGnHicOzsSxeek1dWJ2SkTFJRKvnUrkmc759+IwdWDu9ROhM2CMCy2mTtVUYjC+PnpMZmxuGVF6I0bd1O8YeG2ttDqBWCNaJUjODppsQGTcFM7/sCMIsS4MO5AwxgIzpN/E+S+/poUkVm1ZTqLMxpVDB7jer6d0SwWpU+3YvM6BcwJqrYEEfTRhN9/JTKvPGfZBYY7hpueBHKdM+fxOI+ZIbmxdXVi8kRiTjMPGiL4+C10mO/5oI4mGKMbbBeRulHFYJDdWkwmrW44mVo8+Jmqccpx+nyH5Bh7olcnCyOjkcd/rHBh7okZrSEAfrZy1+KXQl7BlexbauBD3fZFrKdy0nSRNPHBz+P9NKX7c3bHTgzVR9vfj9gb+qYpSDT/5kpNbJ7/icNVlGru9RGp1qLx27H1+tNllbHx8HcVGNUgWqt57m8+bPYF0kXk8taOYhn17qWrzDH5cTPYKtjyxjkK9Mrw0gUzhvHWSrw5XcbmxG2+kFp3Ki93eh1+bTdnGx1lXbESNhKXqPd7+vJnAp0WS99QOihv2sbeqDc/QF7BiyxOsK9QPP3FeK9eO7+fAt3WYfVFoo/302l0ojAWs3LiZijzdwN+7ubn3bT6stiIBKJNY/eIWIit389VlM747n5eymbdeK0VW/R5vf940sGmRjVPv/htnBgpdnbGZN14unWCjmlCPHdw39/L2h9VYA5kiafWLbFKf4NODtXTf2SRAm8v67U+xMjNq2HmXnE2c3PcZh6+YGagayGLzWbdtOVPZX2CmeC11HN1/gBPXuvFrtGgkB3aXCmPBSjZtqSBHqwAkLGff4+39zUPnFoia9yw/f3YeUbio3/UbPqpxDDy1pCCh4hV+si5+jPO3HtuuP1MdKDyUSat5cZOaE58epHao8Mhdv52nVmaGfAdVrpx6aPC7ewPHo4oasyOTR8SgBlyu2zRbveREKkGhITExCv5/9t40uK3ryvf94QAgQBAAJ3AmJQ7iTEqkRIkUB82zbFm2I1u2Eg/tIUPndXJfd769epWq9+H2rdf1bm6n09dx7DiO7cSJI8uWLFmy5ZYlax6sgRQpUiLFUZxBTAQJEDh4HwBxBClw0hCfX5WqRJAbZw9r/9fa++yzTucA1nYTziXaUcGDC2unCTegjIxGe7dKMylzF0UYKQtCON7bwtVGGwUF+gdw/MeFqfYEh46cps7oQaPTINqsDCoNZJVtZXt5GnfzjYmmS7z7xkGafZnDLOfe5l9HJiHbfvgiRX4noYvu0+/w1tF2hgDkBkpfepUNCUGAg6ZDb/LexT6vHanTeeanz5GlGVfHG8fYf+gMDRY5IXoNMocZm0ONITWbpas2UBJwnggX5rqTfP7FKW70uAnWaZE7LNicAvrEbBYXlVO2OG7YNl3mOk4eOsKp2l7cwTpCPP1YB+UYssrYvK2cdP3dQfWnZ1sJOv0JX9YYGZGO9ex6uowFw8YfaKWYtswAACAASURBVNv8fP8rr7A6RgGI2JvP8Nmnx6juHVYeQjPW8cSKeylP4OOP4zYH3vhg7Pzerubsvi+43jus2MRt+xmvrQifZDzu+pdpaLnHSfuZvwSkwbhM1J44xJHTdRg9GnQaEZt1EKUhi7Kt2ylP000aOE9AEU5mQT6J2iS0cvAIOtIL8olWp6If9SX+fMZ6y8d8OB1bmIlfd3Vz+p23ONruTcIkN5Ty0qsb8E6rJg69+R4X+0Tf1z3DT5/L4u60CmQuL9U4cShTWf39baxOUoHLhlOeQMkzW9iQPo28LC4TN47t59CZBizyEPQaGQ6zDYfaQGr2UlZtKCE52MLFd9/gUMsYL0Tmsz/l2cxgGKzn4//8E1U23zOE8ijKX36FdZFtE23yHj4nIB0LHQwohnMbz/GH3x6hbWik1oqYVfzDP6wiuOqP/O8DzcN+VRFVwcuvrp0iUdAjGqcEMr4ho2swW80J5szew1T7bBt1AiVPPsvGRTIavv6YT7+5jc1XPHhhBbt2rSV1OOvnfPbxvbXt5dXtfPin0d/5Cq+s9t1kc5mpO/k5X5y6QY87GJ1WjsNiwynoScxeTFF5GYvjghHmwB/ebZvJ5W1I3zdv8t9PyQABXVQwtu5+b7w3WVx3D913mW5wbP8hzjRYkIfo0cgcmG0O1IZUspeuYkNJMiHCDHzBFAjqKNKyowL7YwBBRWRqNpGAq+vuhx6c7Wf4S0Ax6zTseA6Rr1mz5pdz/7UzxN3HjbNX6XQFEVdQTGbY2CjX2XWRIyebsKMhZ8N68iKUY8pePXCAK54Cdr3+Mk+tL6e0vIxlC+U0nj7J6ep+kpakExGkJDQxjezsGPqu12F0DGJsake97Gmef2YHG1ZmE+2+Q2VVNZU3+klcPMMyShngpu/qAQ5c8VCw63Vefmo95aXllC1biLzxNCdPV9OftIT0iCCUoYmkZWcT03edOqODQWMT7eplPP38M+zYsJLsaDd3KquorrxBf+Ji0iOUyADcJio/eZu/nm9Ht2I3r724k3Xl5ZQuiWWw+gQnz1RijMwhM0aNgIAmJpXs3FSE+ipa+0XEnlqaFIvZuGktJbkxDDXV061cRMnSJHRhiaRlpaJuqqJlQEPeE3t4vHwZhYWFLMlOJEI71e58oG1XItdEk5KZQ7JQz/U2O6K7h/quMIq3bmZ1URaxdFDf3EpDo4eMpWkjAdNQJ6fe/z1H6/vR5W7l+e/7+iq0h/Ofn6PDbmdA1JJesozE6ZyxvYcdTlrMdI19b33Exc5QSp57jRd2rKW8vJTFBjNXT5zhXO0AC/IXEa4UUOgTSEvR0VHZgEWMZOWzu9mYH0eoRokMAU1MCunxLm7W2Ml/+jk2ZEejVSnRRKeQmZOMUH+dNruSpOWrKM7PJidZoP56G3bRTU99F2HFW9m8uoisWOiob6a1oRFPxlLS9NNXkaGuy5yqNoN2EcXLEiddbLtMdVyo7MEtjyS/OJvwcd3mMl7n7JUOhvCgzVpBToQCUKCPUtJ67RYdd3pRL8ohUadABji7LvHZgasYPQmsfnod6cMKOJMydxHAep2zN60MCqksz42ccWZfd98Nzl7txBUUR0FxJoGZiRvTtX289dFFOkNLeO61F9ixtpzy0sUYzFc5ceYctQMLyF8UjlIGMkUoiWlZpKqbqGoZQJP3BHseL2dZYSGFS7JJjNBOsrsuEBSWxKLsVFSNlTT3y4krXEF6qBwQCDYkk5kZhel6HUanjuyyAqJHdYSr6zTv/eE4HfGbePVHu9lSUUpp2UpyQru5dPYaHdp8ilIDWQC5MV3dx1sfXaBdu5zdr77IznXl3u8Kt1B5vpKbnRryilLRycFtquSTt//K+XYdK3a/xos711FeXsqS2EGqT5zkTKWRyJxMYtQCIIybDyLunnq6worZunk1RV7jp7m1gUZPBkvT9Min1bbx368kadlyUnVyhjpP8f7vj1LfryN36/N83+cHQnvO8/m5Duz2AURtOiUT5sv0xh9BQ0xqNrmpAvVVrfSLIj21TSgWb2TT2hJyY4Zoqu9GuaiEpYnBk+ixDEVoIFou0t90kQu37QieXuo79SzfvImKogyiPZ00tLRN1GC3iWv73uKji52EljzHay/sYG15OaWLDZivnuDMuVoGFuSzKNznr+6BEBxNWlYOWalRqAUQVAZSsnLIXhRHyChjE8b5DGXSclYV55M9HVuQKabv11UqwpIWkZ2qorGymX55HIUr0vFOq2AMyZlkRpm4XmfEqcumrCB6WF8CmcuqIB1JObmkRAR5+0vQEJuZx6Io9TQ29Fx0nX6PPxzvIH7Tq/xo9xYqSkspW5lDaPclzl7rQJtfRKpehT4hjRRtB5UNFsTIlTy7eyP5caFolDKv7aWkE++6SbU9n6ef20B2tA6VMoTolMxp+ZyAdMwTWAwXqQkncVEGSbImqtvsePQFPPFkKUl6NarQeJJCLdTVeyh8+lk2L0vFoFUhn9T4HsU4JcDxHfZ9s9UcD323uwkr3sLGsiWkaK00NrTQWNdNkFjNyZY4Vm1dT2l+IkpjA02tjdQPJrM0M9x3g2Y++/je2maISiR1jFYsY3mqDrnbxNV9b/HRhXa0y3fz6os7WVfu7cdwSyXnK2/SqcmjKFWHZw784V3NSpE3UH3Hga7wKZ7fXsqywgKyF+VSWJiGfDiuW03J4tzAdd/Vxen3/sDxjng2vfojdm+poLS0jJU5oXRfOsu1Di35RanoAuivqeP6wHB2fsvpGxbw6wO9iP1NXLxwG7vgobe+E/3yzWyqKCIj2kNnQwttE2LWadrxHPLQHfTz4sJyp4GbN29y8+ZN6mqv8+2JT/nju8fpQUvq2mfYnBo8rowcTUQ8BVs2kD2c+12BLqWMbeWRYLnC8VobIgpCohJIjIsgWA7QjyPrCR4vXkhYkIBCE0vexl1sS5aD6RKHTnfgnFEZX600EcQXbGFD9ki6d4UuhbJt5URi4crxWmwiKEKiSEiMI8J7AfodWTzxeDELw4IQFBpi8zaya1syckxcOnSaDieAiK32MAerrBBZwZPrs4aDdWV4FuufrCASK1UHj1BrEwEBVVgMcbGRvjttdu7Iy9mzay0FGckkZy1n/Zos4iM1yGW+OsVHo1d6+zLEEEdiYiKJiYkkRE/2yp5RIxJg2wVVOLEJ8UTpvCGFvSuEtc9upzgrmaTkLIq3PsZSLdB3g9reu9vIIuaqwxxrdUPYSnY9UczC0Lt9tYGn14ZiGfJXq3lCtFF7+CDXbRBZsZO1GaG+/gkiIm8zjxWGgPECB891MQQotNEkpC6lPFMF9HCrS0VU5N1AV0AdEQEtDdhjiynJSiJGHwQIqMJjSYiPQjccfakIj00gPkrnDcjsXYSsfZbtxVkkJyWTVbyVx7ydx43aXuazS1TRaUTJgIE7tFpc437rxtbeTj8AQwwOjeyjK6KK2f3D51iX7eL02/+T/3jz97zzu1/zP3/7FdbU1ez60QtUxI09pDaTMl4EVDqv7Tp6exhw+/mTeUS01XL44HVsRFKxcy0Zd4+oB0WQt/kxvGZykHNdvpFShBCVEE+0dxKiCDEQ55uDiQl+7piPQqmLHjV/R+Ozo7hIn56Nx435ViXtHogpyCde7XMTgorogg1UxAW+2SJaa/j8kK+9T24gK1w58l2LN7MtVz26c6g9fBCvnD3J+qy7J2eUhGet58mKSLBWcfCIVzcmzgc7XSFreXZ7MVnJSSRnFbP1saV4paMWr3RMp21+5huAaKbq8DG80rOLJ4oXEnrXD2x4mrWhlknn2bTHX1ARFhNHbKRPb+13kJfvYdfaAjKSk8lavp41WfFEauRTLkSnq+X2Lg1rdz/OytxUklNzKd3+uF8NttUe5qBX9Ni5NoOR5uSx+bFCQjBy4eA5uuZYeMb7DJDNwBZm4teV6KITiI/WT9xgE7xaHBc5ydHTWczlaeE2c6uyHQ8xFOTHM2Li0RRsqGDExBVooxNIXVZOhgrouUWXKorIu1GtoMbrhuzEFZeQlRTjPQ4pzMDnBNT2AGM4hZbohIXkb/oea2JlYL7MyRsWPAIImKk8dZvwNd9jfe4CEgJ4negjF6cEPL6+GsxaczoJXrOLrSuySElOp2DdE6xPkIHzFke/DWPbM5tYlplMcmYRm3dWYABsdVV0OkbqMJ99fC9tU07QCu+4WGs+55BPu57ckMWIa4pm8eZtjLimufGH49um0EYR76vngoVJJI2J64Kmpftu8y0qvRUkP149HEeqogvYUBE3Ro9mG9fPOfYuNGt38/jKXFKTU8kt3c7jfmLWadvxHPKQLpQd3Dr2CXv37mXv3/7Cn/78Efv/6zJdEcU8+/Of88Lq5ImvYFFEsnzP6+zMHP/KAQXaqDDkiPQ0+VsohJOXFz32WRF5KOkFCcgAY2UlXc6ZllEQuXwPr+/MnFBfhTaKMDmIPU30+hnX8Ly8Ue+LBJATml5AgvcCVHY5QbRx81wdg0BEbjaGcZ5bGZlNbgQwWMv5epufIz4KUlbkjGSkQ0HEst28visf/awtY+ZtD0ouIHV0RmKVgYURMqCfHptvASbaqP+2ETcQlju+rwT0aYUk3kfrFm23OFfnACLJyzaMC6LUxGUlogR6K2sYPqkphJBanIcW6Lp4ifbRdmZv5GzVIAtL8phWcvegZApSdaPmgArDwghkQH+PjfHL17lE0GdTkR8C9HD2RB3WUQYn9jdw6kyH7ycZstHP5wwZqbtwlotVdyA+k9ycHHJycsleEETXjW85d76GnvFzcCZl7l49KNg7PoMW7Pd1oSxiu3UOr5nkkT1+wqrjyEpUAr1U1vTO61jdC5ngHZ/28xe4bRvVSUI4RS//gh+tiQngTryI7dZ5bjqAiNyJ7RU0LCypoGRJIiECiLabnKsbBCLInTCHlERm5+KVs/PU2/wdWAwiuSCVsdKxEK909HBXOmbbNtFWz7eNbiCM3PF+QNCTVpg46RHoWY+/IoUVOeEjgY8igmW7X2dX/tw+QhCUXDhOgyNZEA7jNfjWuTq8zZnof9RxWXibU0lN7/225sBsYSwziQUeRmR4Tbyd8xduM9bEi3j5Fz9iTczIYAkhqZTkaYEuLo5+1AuwN56lanABxXkRkwfQc+VzphvDBcVT/vQmFsih65u/cfRWF9cPfUp1+HqeXBkb4PO/j2KcMp3xnQPNUS5kScqoVzoKIcTEawHQpC0mcdQ9K4U+nhg10N+Ddbhe89zHM0G0cev8TbyuaaJ2CZqFlFSUsCTRe5x6bvzhLLiX7ssE70Zp+3ku3LaNPEaJQHjRy/ziR2uImdcKzoKgZArH6Uek19mM0o8HGzs9pM8oh7B0zz8Nv5bHbWvkm7+8z9ct5/j40wh+uKcYg7+aO43UXTrL5doWukz9OF0iHsAz5DUc1+CQn8WidtxOE3jv6EWjpRmruZVeByQGzbSME2PdJc5erqWly0S/0+V9R6VnyCtwrkGG/MR82ru7taOvoI4gWgvNVjOtvQ6I6qWp23unWB8dOnGiKvVE6wUwinQ3GRlaomds1vkQoiYkXZpLZtZ2TaRunGHKCVLJATeuuwowZKTV6AEEwuLCJjrFID2RIXDbOtdt8s+QsYkeX1v6b1/hYuvY37v7Br3/MbVgdEKsr4GqhOUsi7zE8d6rnGtcTVKGBhCx1J3lliyD76VPMwDWRKIbN6TyIJU3uZVrnleFQgjpW59lreVPHKv6K2/2L2NpRjRqRze3Ll+mTZdFouMGrY4gQu5mXhD7qTv0Dn+7bEW7+Fl+tDN7JLhdWUL+kd/x7rlPeKdfwY+/l+fdwJlJmVHIBLm3T90OXPf1FX5DGJt6fBrUz+0rFxlrJm5GzMSIk9gHJNByQrNWkvX1Pm60Hefdf7tEQnYuOdnZZGcuIEKlDvCZ0yF6fe0V9NGE+nHU6qQytiR5/+/obcIrZ3qi/fyxUh+NV866aTIOsUQ//h0aGiInGr/3/Y5uly94mH3bhoyteKUnjLiwieF4kD6SEG4zUXrmYPxDophXyfYxUYMVqNQKxmtw04jocWWi6OFtjomW0aJ3XwjEFsYzk1jgIUQeStbKLL7ed4O24+/yb5cSyM7NITs7m8wFEajU4y1cRcLypUReOkHv1XM0rk7C64Ys1J29BelPkzHVzvlc+pxpxnCKqOXs3F7PG/tvceH9N7kYnMbOHy7zHx9OftFHK06Z1vjOgeZoIic896kIkvt+pR2rlzIlQXLA42Ls0M9jH8+EoV6fdk0SO6MmqWwLPtc0R/5wFtxD9+WhWazM+pp9N9o4/u6/cSkhm9ycbLKzM1kQoWLClH+Y8KMfCpUaBaP148HGTg/pQnkscm0yFU9tofE3n9F4+yiHr2fz/JKxCwhxoJljf/wD37SLaFOWU7JqIZEaJYIMhu58zd7j7f6/XJAj9+MDZEq1r3Oc2IfcMHoqBFpGdNJ87I/84Zt2RG0Ky0tWsTBSg9JbKb7eexz/tRKQ+78Aat+IOe1DuEUHdm+mHoL8HsqXoVR5k0cN2Z1+NgkE5MIcH+a/izgww7aDTC5MOEbovQPpYXhdIw4x4AJv2/05cQG/H88TonPAt9Ntof7qJdr8dKshLg6U4cg9XoEGQBnFkhUJnPi8jRtnb2JZtAS9aKTqbDPq/JdI1kz8nimRyZkwpDIZMsBzHxaFQvACVr/wM7Jqr3CtrpXO2w0IwWGkbHyVp1P7OfjvN2hFS5TP87pN1/n6shWIorgifcwdIAQNC1eWkXDuM9qqT3C1J4uKaMWMyoxB9AZfCIopnl2bD0ScA75tc0s9Vy+1+Tkua8BrJnJGm8n9Rh62hKd/GMzZY99woaqFtppztNWc40t0LChay7YNBcSq71U5EYfdl/Qo6N7PqIoOuy/xWJD/Z4xkSu9CRxzC7vR3R1nmR89k3uSio4x/tm0Thwa8O9byIP8aIygnvaM86/EX/MzveSAwDXYy0pyrXPIvesShJFzu4f6ac2C2MIaZxAIPJXLCljzND4PPcuybC1S1tFFzro2ac1+CbgFFa7exoSCW0SaujCpgRfw3fH7nBmdvWli0RI9orOJss5q8F5OZ0g3Nkc+ZWQynIKLgcbbX/IZ9N53IYxaRNJ1sPo9knDKd8Z1fzRH89cHw/3xfNt99PBPuGTuPZW784Sy4l+7Lw1jy9A8JPnuMby5U0dJWw7m2GrwmUcTabRsoiJ1OnoP7SED68WBjp0dioQwgD1/MxpLT/O6kkVvHz9GevdGbaRIAF8Yrn/NNuwixG3hxTzlRo1pmFy9M3mei6N3ZGodnyOG7fa9EPX4iBVjGZbzC59+0IxLLhhf3UD62UsOZ5vxUCtH/BUayfquVyIQgghXAkJshv7fGPLic3h0ZhXqy4G1+mHnbA0RQetvucOMc8td2Edd9THst+IIppzyJjS+8QE7AC1w5YTklLDq6l5sNZ7luzGWZ4zIXuiMoeirugb/makYIwcRkr2TjuJcWiqaL3l0/bRKJvi3Eob4WjABBkUT7eUhPCI4kOgTa+vto6RuCaMWMyoyph8vpnafKkLl/zcSUCCjVCsCJPGkjL7yQM3UAOqf4CSw8btxTRBvK8AwqnsqgYoeVtrpKrl6+xLc3e2m+uJ/fmwV+srtgzLuyJyIQ5BUo3EOuewY2QpD3VV9D7iH/d/o9LrxypkA9y12w2bRNUHrr6XA78S89rkky2T7I8Z8HBN/GrVNO0sYXeCFw0Xs4mUks4Gcl6HG7ZxfEzwlKwjMqeCqjgh3WNuoqr3L50rfc7G3m4v7fYxZ+wu6CUe+lloeRszKNo3tv0XD2OsbcZTguX6ArfClPxo8/uTEfzDyGc9uaqb3jIkgAZ+NhPjmfzAsrowIKbh/dOCXQ8X3wmjPvfTwT7hk7T2T2/nCeUYaTUfEUGRU7sLbVUXn1Mpe+vUlv80X2/96M8JPdFDzQCs6GB2vHD+UGg3+CiFuxmkVKwHiB47XWUcHIEMZmIwC6BQsnHlHwTKVE/p51EHGYur2Jh3TxGCa8oCuwMkPGZm9Ar1vAwomVmvK1AP6e7REdJrq9FyDeoEJQRpAUKQNELF3WiefyXVa6LCIgI3JBxPw+QzGO2bQ9IJThJIQDiFg6zROfPXfZMA7M9iJT4Orh/Pu/4d1TnQwByogFRMoAt2WSZ2dcmBoquVbTRv+4xgu6RZTkaIB2zl9upfHCVWwJxeRHPjL7WAEx2HGTHkCbmU+sL/aSCQpvsOZ2+l+0edy+xZEw/F7DmZQZjWvAihOQ+97VOp+4es7z/m/e5VTnEKAkYkGkN/mGZZLnJF0mGiqvUdPWPzevN5Pd7QMXg+MCNdFhwezwV0hkyNpNp3HQ96odHQk5pWzb84/8fE8RoYDz1mWa7zm/lEQkedsrWrqxTmiviNPYQHV1Pd0OEWVEkncOiRa6Jv4xLmsXXjmLZEHETNVs9m1ThifglR4LneaJD9a5bEb8F38A4z+fKCNY4BU9LJM8i+oyNVB5rYa28aL3UBJ4LCATfO8mdQ2O2ywRcVjM+J1W9wtxCGt3J0bfq5gUugRySrex5x9/zp6iUMDJrcvN42xUQLeomKxgoP08l1sbuXDFSnzxkmkeY54pM4zhXEYuf3qQpgU7ee3FcqJw0/zFXr5pC+xh8kcyTpnW+D54zZn3Pp4Jo2Pnbj+xs+jE2FBNdX03DnGu/OH8IQ5Z6e40+l75pECXkEPptj3848/34DWJW1x+kBWcNQ/Wjh+hhbI3WdCaojDASd3XF+gcVh0BlcYbODnM4x22C2uneZJnkgB6qb4x7uFv0UbD1TZEIDQnn5gJt/UCKyOoNN7FqcM8YWBd1k7MUzxj0Vt9g7H5T0RsDVdp816A/JggEPRkLE/1JomqrsU4/hrGOmp6AWUaRYt0MxtsmeA7juYZ3m13mar56sARLndPnl1uNm0PCEFLWuFCBMBYXUPPmKqI2Bqv0Tqv+WPc2Pt66ev33ikTdItYnqYEeqiqNU7c5LDXc/SjvXx22eznbkMwSSsKCAP6zu/ns0oXaSVZ3leOPFI4afnyTf79z1e9C5rRuI1Unb6JU76AipWJw8/KKw0pxCgAdwe17ROF3NlTT+sgIESTGqWacZnRdbR0eB8Ii0gZm7hHHGin8swZrrXZ505o3Xb6evvod3mfU9MtWo7XTKqoHT9hEbHXH+WjvZ9x2TzaSmQIvjOhnpFJSPVXBzhyuXvqTOaCCn1oEDBAV+foJB9uTHVX6fBbyEX32Q9486PKceMooE3KZoGa4aNRUyOgz1hOqlegqBvfXtHOrS8+5K/7L2MSBQR9Bsu9f0z1hDnkwlhXg1fOilikm6nrmn3bBG0ahQsFwEh1Tc/Y/hdtNF5rnSSZyEzHf46YoZZPiqBj0fI0vM2Z6H8Q7dQf/Yi9n11mPpoz9wQeCwgqPd5p1UXn6OQ+bhN1V/3PKi+zmMuB4urm7Adv8lGlZayOCVqSshfgNXE/Fh68kOIloUAf5/d/RqUrhZKs0Dk8aD5V243Ipx3DOek8+zFfdmexY3seUQtX8b0NCQieDo7v/S8aB+6t4o9knDKt8X3AmsN96GOYvraNiZ3rJmiXaL/FFx/+lf2XTYjCXPnD+cPVfZYP3vyIynGBl6BNIttbQcZM+QD6a17ioRnzYO34IVkouxiwmDCZ7Tg9ACLOfgsmkwnbmGfRgogrXkWKAug9x7GqDvpMJmxOJbGLc7w7O7Vf8tX1Pp/DcWO7fZKDZ3sB8AzZsZjM9I/JGqBGvPIpX1R14xABl4XbJ/dxqH4ItPlsKU/wc/w1sDKq2MXkeCvFl19dp883X92225w8eJZeb6WwW0yY+8dOZrV4hU+/qKLbewEst0+y71A9Q2jJ31LuO3YuoM/dyqZFaug+zv6TTdh9TRPtzZz67DhdqFi0aQu5vmQcrkErJnO/t96IOGxmTCbzuH4ehaAmwhAM2Ok1OxER6b99ntOX6jCLk0vDtNpusWI1men3VgrRYcNssuJwgzhkx2KyYHd5AA+uAQsmcz9Dopyw/M2sipNB7zfsPTKqrxpPs/9ohy+BgZtBqxmTxR5AJrzxdjiEqaWOmpqaif9qG+l1jOozQU/Oti1kqKHr6318fWtkl1J0dHL5swNUOeIpX7cIrZ9ZFxRTyPJYYMiIJTiH4jStn8kp4rJbxo2fkc47HfRaHV4xEx3YzCas3s7DbjFhsXsX8x7XgB/7nwTRic1kwmQyYRnwtcQ9iM3s/czq8PcdHtx2M8ba/+JYjWmkv529XD/yIYebNeTueJJlo25RCLpM1pXGIMPO1f2Hudoz8iy9y1TDl5+cwQxELl8/bMMzKTPSLjt3ms1AJNnpYaOO5w3S8Nm77D1yhI/f3U+dfYq+cQ1gMZkw253eTY8hEy11fmykpobaxl7GmkkO27ZkoKaLr/d9za3hO6cijs7LfHagCkd8OesWjR5/AXWEgWDA3mvGKYLYf5vzpy9RZxbv4aBVxOUlEwR0HD/EyRttdPd00HDxIB9fhAhf4hW7xYTJOjgmGHW3n+R4Td+oeTNE741L1A9CUFohCwI4+yToc9m6aRFqujh+4BRNdwUKJ71VX3D4houE8lWkBAOCntytm/DK2X5ONt110CL25lN8drwLVIvYtCV3OEGbXz2zOnAjMmS3eOe91/gZsJgw97um0TZ/882MqT+IrI2r8ErPXo6M8gONp/dztMOX3MU9iNXsnX8j/THd8XcxaDVh7h87v01mG5NJ9uSDMYWWDzlmoMEC+pxtbPGKHvu+vjVyakB00Hn5Mw5UOYgvX8cif6I3C0SXz5ePqq+x8w4dvdZp2ML4AHoasYAqjrzkIKCD44dOcqOtm56OBi4e/JiLROCdVnYsJhPWwdGzajZzeTq4aT95nJq+UV5vqJcbl+oZJIi0wgV+ji4GEbu0iGhgyGhBlVVCmt8NKf82eW+fM1XbFdOI4XrpNRrpufU1hgpSyAAAIABJREFUf/vaTObGUhJUAHLC8jZSES+A8Sx7D1fT2WfBPoW/ezTjlOmN71xpjtXhRnQPYjVZhuNFt8OG2WTDKYreNlv6fbrkZsDqnX/Kee9jptQ209DgBK0wm2woMrZ4Y+eu4xw4NRI74+yl6ovD3HAlUL4qhbtJvWfrD/1pltlkwmTpZ7A/sLhuSt13t3PyeA1jTeIGl7wVpHB0Be8Z108jHhrdRqcNs6kP6933bvp8oMk2OkfSzPRjZrHT3CD75S9/+eD3ep0tHPr125z3k/kv7rH/xmtFoaMa7qD50G/4/XnL8CcJT/wzrxSq6L64n78eqqJXBCFYj07uxKnJoGKJha++bPQFgQrSd/8ze5Lb+OhX73PdmczOH2RT++lhakwyBEREQB61hO27trN0dD7/wVvTLuPsvMj+vx6iylsp9Do5TqeGjIolWL76kkafPSnSd/N/7Unm1ke/4v3rTpJ3/oDs2k85XGNCJoDovQBLtu9i+9Jxr7BwdnP1y085fKGVwZBIYnRg7eylPziJ5Zt3sHFJlO/vh2g/+p/89mTfuF6WsfB7v+DlPP8z3dlxij+98yWNTi1RMSqsHb2ol3yPl3fkTXnXM9C2y5Oy0bfUMLZWkaz9yY9ZYf6YX31QPfYom5DKM//ifQ7Ybb3Jsb37ONlox5vAxYNbmUjpExW4j/yZc2ZfmZBCXvqnJ0ie6nGrKexwMsJKX+Mnm0YCKGdPJUf3H+Z8cz+qsGgi1CLW7h4GQrNYs+MxypInm8Qi5st/5N8/bSS04of8eH2cn6Pyg9Tv/RXvVQ7es16Ra3/Cj1eY+fhXH1A9tvNIfeZf7v08oe0qb/3bvnGZBUeI2fxPvL4yYtzdBiftJ/7E+8ca6feAKiyGCJULS08vQ2FZlG3ZSll66MRnx8R+ms4d5vPjlXQMKtAZotDK+unptjAUFEV2+Va2laWOzbw5kzKAu+8Cf/j1QdoStvHTl1Z4F4oAOGj67De8c9EC2kJe+OkTpKrxi7PlEL9++7yfrMaTEUbpaz9h03BSBSc9lUfZf/g8zf0qwqIjUItWunsGCM1aw47Hykgev7BwdnDqT+/wZaMTbVQMKmsHveolfO/lHeTd6+iBq49rB95n39Xe4dMMQkQe257M4/YHH3L9rjlFruHHP15DjELEWn+Cw19douaOFbnOgEGnxGXrodviITJrDTt2lLJwwjv6JsNJ99Uv+fTwBVoHNUTGhCLYe+i2BpO26gmeXJ02ZvPI2X2VLz89zIXWQUIiY9BhpbO3n+Ck5WzesZElUXf7cRI9i1zLT368AvPHv+KDscaPkPo9/ltZT4Btm2S+qXLY8/OniW09xt59J/FKjxzB40aZWMoTFW6O/PkcI9LzEr94InlMfwQ8/kPtHP3P3zJRshfyvV+8zCSSPflITKLlP1jewftvnZyRBuPsofLofg6fb6ZfFUZ0hBrR2k3PQChZa3bwWFmy383B2TBYv5dfvVfJPZVwSlt4hv/7hZwZ+XUAV981Dry/j6u9w7OKiLxtPJl3mw8+vM7ItPox/8eamJGCs5nLgSBaqT9xmK8u1XDHKkdnMKBTurD1dGPxRJK1Zgc7ShdOfMUmgGji0rv/zoEm/TjNGsUkNhmQz5my7W46A4rh5OjVbizDg68k47n/k+fTrJx44z/5r57R1/b9LjOYyXjk4pQZje/sNSdy7U94LaOS3/72m3F9EMe2n79IzDf/wTuXbGMLxW7jZ6+vIKR7/vt4Mm17Pq+W338wXitU5Oz5Oc8stI3EzppIYkIF7D3dWIPTWPXEk6xO0yIwN/5wUs0KzmNDyi2OVt87rptM90VrPScOf8WlmjtY5ToMBh1Kl42ebgueyCzW7NhB6cKxr12bOq4PPB4ajf36H/h/P2qceGoy8Un+5dUlaGF2+jGT2GkOeDgWynOI6DDR3tqB2SEjODyOxBi9/6yCo5zjrn95iVzVAD1tLXRZRVRhsSTFhU1M9DOTMt5KYWpvpcPsQBYcTlxiDHr/lRpZKO/6F17KVTHQ00ZLlxVRFUZsUhxhU2QfEh1G7rR2YXGASh9NYnwEEx6vniGi00R7czsmhwyNIZGkmABfTB5w22eDC3tXK609/YjqCOKT5uMa00HE0ddOa5eZQbcCbWQc8VG6+5qF+4HiHqCvqxujxYYDNfrIWOIMmnsf4RMdmDrv0GWyM4SCYH00cbHhBE9VcDplxAFuH/rfvHtRzerXX2Vt/Lgg0GXjTlMHnuhkEub74WVf3fvaW+kyD+JWaImMiydKN0XSPdGJqb2ZdpMDmcZAYlIMfnKZTYKbgd42Wrv68WgMJCVGTd2vPly2bto7erE63MiCdBji4okK/KLj6u/AeKeVLssgqMKISYwjfFKBEnEY79DaZcGBCn10IvERqjndKZ6TtrnsdLW20tMvoo6IJ2kyf+OP6Y7/HDFjLb/X9zr6aG/twjzoRqGNJC4+Ct2jIHoz9esA7gF621rp6vegMSSRGBUc2FHlWc3lQHFh62733mV3ywjSGYiLj7rHdRw07v81f7yzkh+/WjYmodaccY+2BxzDzWmdHsU4ZQbj+4A05+6157uPZ6ptw7HzoHeDPzEu3G/sPKf+cD5w2ehu996JdsuC0BniiI+avA+m7K/7HQ9Nh/tsx393C+WAGe8cA9mZn0mZ6VVq3EL5Ec8iKiHx0OCk59uPeWd/M0k7XuF7SyMfnZT/EhIS88e8+/VHCHsdH/36I/o3/ZQXCkMflmfzJCQkJB4Ykg5KSEj83eO88w1/PWZn8bOvS4tkCQkJCYDBBg69v58aqwi4MV4/SZ0sk9LMGSb/lJCQkPg7Q75mzZpfPuhK3FdEKzWf/ZlPTl2ntW8At8dKR0Md1S0KkjNiCfZ7dHoGZaZXKaw1n/HnT05xvbWPAbcHa0cDddUtKJIziJ39BSQkvtPIgqLIKV5BTmywFABKSEjcB7/+COBs45vPvuJKu42BjmscO9FExNqnWZM69wlxJCQkJB5FvoM3VoKISM0hP0qExSOfCiFRqCdNOTmTMtOsVUQqOflRiGMvQNRcXUBC4juMoNJ5E0lISEhIAPfDrz/0KGMpqlhKbaeZDmMw6VtfoGJp1HcxMJSQkJDwy3f3GWUJCQkJCQkJCQkJCQkJCT9Ip2skJCQkJCQkJCQkJCQkJEYhLZQlJCQkJCQkJCQkJCQkJEYhLZQlJCQkJCQkJCQkJCQkJEYhLZQlJCQkJCQkJCQkJCQkJEYhLZQlJCQkJCQkJCQkJCQkJEYhLZQlJCQkJCQkJCQkJCQkJEYhLZQlJCQkJCQkJCQkJCQkJEYhLZQlJCQkJCQkJCQkJCQkJEYhLZQlJCQkJCQkJCQkJCQkJEaheNAVmIA4wJ2rVzAtXE5OhAJEB13XL9ERU8Ti6KDhP3Nbb/PtlU70uUvJjAia4gsfBC76blZRb/YQmpZPejhYbldzs9dNyMJcsqIetvoGgNvK7W+v0KnPZWlmBI9gCx4uxD7O/+5/cajd97M8hWf++UVyNA+0VhKzRqTv/O/4XyMDS8oz/8yL38WBlTTjkcHZW8Xxwye40tBFv1uGIjiMmOQlbHx8FcmawPfTB+s/5t/fu4bd93Pkqh/yo3VxKOen2tPAheX2JU6cvIFq9W42LlDN+/Xsve20trbR3mPG1m9nYHAIj0JFSKiBuOQMslKiCPbTtS5LI9U3e3B6pvh6mYrojBwW6OTenwfqOfCXcygXV1CxJIkQ+bw06pFkTm3yu+C3B27wwf/3ITeHfD/HbeVnrxUTLt1We/j4rozVA44l5GvWrPnlfb7m5IiDtBx/j3eO3MAZm092nJyuM3/m7c+uYYvIIy8pxHcLfJDbn73N387eoKY7lqIl0TPsOBFHzy2q69ro8+iI0CmRzUlD7Nz85Pd8erEBR2ox+QaRpiN/ZO/pGixJxRTGPHoh4+Dtz3j7b2e5UdNNbNESou9HE0QHPbeqqWvrw6OLQKecm9F5KJCpMGQWUlQYj/FqDb1iGDmlBUQ/+Ijy75T5muvjkaEyZFJYVEi88So1vSJhOaUUfAcH9kFohujo4VZ1HW19HnQROv6eJGPeGGjg0Ft/5lxvFKuef5FdW1aySHGbMxc6iClaSuL41dwUuizoF7J46VIy5Le42jKAekERy1N1PMh1mzjQyrlP3uODL6/RocqkdHk6BtV8RpJOWj7/D/7j4zNU3rhF95AKtRKcplZu3mqitbmB2msXOFPVjTopjXidYowWOVu+5L2/naK6ro66Sf81Q+ZyssJ89zpkMhwt5zh6/BTnas1oF6QQo1XMk8Y9WsypTX4X/LY8lLSCZSxNcVJT1Y5Tm07J0kS/mzoSD5i/k7G6l99+IOuPUTxUd5Sd7d+w7/gd5BlP8/iScOg8zr4vGnElbWfHiqhRlVUSlZNPUnsrYXmxzHxv2EP/raN8fLgTffErpMZp5manwmXHNAAQSmK4EkQ7/TYnoCcu/NFbJAMoo3LIT2qnNSyP2PnejL+Lp59bRz/mcKee4ldSidM8mn3nHwGVLgyVsgflIyZqjybzNNf9IKh0hKmU9HzHB/ZBaIan/xZHPz5Mp76YV1Lj+LuSjHnC3niGaxZQ51WwPDUcNbBw+QZWm24SFeRnqTWFLgsKDfqwIAbndSEaOG7zdQ7+8SO+7QUMpbz0woZp3SGfGR48bhFQkrz5FZ5fGevTGhd9V/fy5r4aBgCx9zqf/0lJxE92kD7bOinCWfz4S6hkv+PP315m/2/b6X7u+2xM137nn6+bW5v8DvhtQUlIaBhKq+o7bzsPPX8nY3Uvv/1A1h+jeIgWyg5az1/GiJL0wjR0gpOWby/RCSQUZBA2ZvtPjj57O69kP6Cq3gO3tYm6XiB2CVkRCsT+Zqo7gbBc8h/Bu8kAcn022x/WDpeQkHjokDTjUcCF3WhmCNCGBY/cZVMlUv5Y4gOs1xzgaOHrP/3Nu0gmlOIdq+/DInkU2sWsXRo7akNOQXh2KYu/quGcxfeRrYZvWzeTnhE8rnA4SzeuJHayO5UyFTGR48I3QUf6hsdZfOMDrtk7OPPhh2hee4GK2Ecz5pCQkJCABx9LPDwLZZeFtjY7EIpBpwDRTmezBVATHjbD3RLRiaWnC5NTSVh0FPqg2ThJEYeph27LIDK1HoMhDL8blEM9XDn8Fa3EULF9BdEyC9VHj3BzKIyi7eXE35cjy0PYLSb6LHbEIB2Rhgg0AY20C1tPJ739HlT6CAzhmoAMRByyYzH1YbGLBOkiMUQEWM5poafLhFMZRnSUnlkNz1TXcZjp6THjEDSEhoWhDVb4t6eZ9tuc2pmbgb4uui1uVGFRRIUGYvtuBvp66LU4kAWHYTDo/dtmALjsffT0WnAQhC4iirCQSfpq+NID9PX0YnHICA4zYNAHUN+ZlPFxf2wmwLk+TdwDfXR1W3CrwoiKCg3gO+duXB8O257N97uw+/qCIB0RUWGEKGZRl/vRH6IDc08PZoeAJjSMMG0wk1d5Dsfad21TTzeWQRlqvQHDFD5UdIve/8jm76DutObtLPRhBCftp/fzTafvQd+oZSyLD+xWhHvASFe3FZdSS0RUJCHTjpKUxJbv4fUVWqLHX1JQox0TAwwxOOTnYWRBT2rhCvKm+eyroFnIisWhXDtrBncr/7X/Aln/UEbUvEZ6Ig5LN90mF2pDDIbRE8k9gKm7B6snBEN0BMHzdAY/YB8/usyc+pKZ+G0fLhs9nb30e1ToIwyE+xWi6fokkSG7BVOfBbsYhC7SQMSUAueiv6eLXrtIcHg0kbrpBKqz0a6ZxZzDBKyx0+2PmTJ9P+Ue8MVcsmDCDAb09+y82YxVgIgOLN3dmFxqDDEGxk5pE909VjwhBqIjgqd8hEF0mOjptjAoU6M3GAibp5NGM7+OiNPSQ5fJiTIsmih9kN95+/AslFEQnllAfqKWJK0cPAK69ALyo9Wk6kcNheM2B974gMtmr3NXxKzmle8v4PxbYz/7wdYgTn/yJTVGXxCAjkXrd/F02QKCBRBNl3j3jYM0D3p/bzn3Nv96wddFQUls++GLFIULgAtz3UkOHTlFba+bYF0Inn4rg3IDWWWb2Vaejn5UL4qiE4cyldXf38bqJBW4bDjlCZQ8s4UN6SH3Fm/TRd594xAtzlEfBmfy7E+fJTPYm5jiP/9Uhc3nW+VR5bz8yjrig0C0N3Hmi2Ncut6I0aVGp1fisloZ8OhILt7MY+vyMAT578MfbFdzdt8XXO91D182btvPeG2FhqYDb/DBZTOi949Z/corrI4RsDed4Ytjl7jeaMSl1qFXurBaB/Dokine/Bjr8gx4L3eANz64jPdyCmJW/4CtQaf55MsaRoZnEet3PU3ZgmAEREyX3uWNg814h8fCubf/lZHh2cYPXyy6Z8ICl7mOk59/wakbPbiDdWjlDiw2J4I+kezFRZSXLSYuWJhdv93DzqaDu6+SA+8d4FL7yOBrk0vZvnMd2WH+pqoLU+0JDh05TZ3Rg0anQbRZGVQayCrbyvbyNHQBBiYu0w2O7T/EmQYL8hA9GpkDs82B2pBK9tJVbChJJkQYU4DaE4c4croOo0eDTiNisw6iNGRRtnU75Wl+ngGbRpnp28zkzNdcDxh3H5UH3uPApXaGR1abTOn2nazLDvMjwnM3rg/Gth3cHq8ZP1iP5eMPZ/D9Lkw3jrH/0BkaLHJC9BpkDjM2hxpDajZLV22gJDkEQTRx6d03ONg86L2m5Rxv/+sFn10EkbTth7xYFA73oz9cZupOfs4Xp27Q4w5Gp5XjsNhwCnoSsxdTVF7G4ri7Njt3Yz1y7UMcOVVLrzsYXYiHfusgckMWZZu3UZ6uH7a3u3PM5PK2p++bN/nvp2SAnMiSF3ltU+K4xxNmoMseJ+1n/hLYvJ2JpkyG/TbfnOse/lGfmsKIhDpp/eJ3vHu2F/eoIkELN7MtvopDp1oYvPuhTEfyio1sX7+YwHNwCgSFxRLv5zfiQAdN5tGfGEid4otdti5aWjowO0CpCSM6IZ6oKVfuQRjSF6A+W8kg4LlzmtMty3giRR1o5afA37zeTvCZvRyu7vN+hpqEkid5duMiZA1f8/Gn33Db5isevJCKXbtYm+o9Du7qPs07bx2lfQhAjqH0JV7dkOCNGZoO8eZ7F+kTvd+Z/sxPeS5r4q5BoD5+DNOxyQAI1G/782nb1WfZ98V1RsKuOLb97DVWDE+iafok0U7TmS84duk6jUYXap0epcuKdcCDLrmYzY+tI88w2t5E7M1n+OzTY1T3unyfyQjNWMcTK0SmZhraNa2YM/zeYxCoxgbaH65uTr/zFke9xojcUMpLr24gwWuMHHrzPS72+Sw8/Rl++lwWY60xQD81uoSplhOHjnC6zohHo0Mj2rAOKjFklbF1ezlpE4R/NmM1CX7HJZgzew9T7Wsv6gRKnnyWjYtkNHz9MZ9+c5uRKV3Brl1rSdWOHTGXuY6Th45wqrYXd7COEE8/1kE5hqwyNm8rJ/2u0d7Tb7/M6vYP+dOE9Ydietfxq11bCTr9CV/WGBmRgfXserqMBeM04+FJ5iUEE52WRU5WKlFqAQQVhpQscrIXETc6haOgITolk5xkgfrrbdiVSSwrziU1bdRnopue+i7CireyeXURWbHQUd9Ma0MjnoylpOnlyBShJKZlkapuoqplAE3eE+x5vJxlhYUULskmMUJLkODGVPkJb//1PO26Fex+7UV2riunvHQJsYPVnDh5hkpjJDmZMah9/SpT6EjKySUlIsibSEPQEJuZx6IodUACLFPoSUhLQddRSYNFJHLls+zemE9cqAalDARNDCnp8bhu1mDPf5rnNmQTrVMhl4G77yoHDlzBU7CL119+ivXlpZSXLWOhvJHTJ09T3Z/EkvQIlHINManZ5KYK1Fe10i+K9NQ2oVi8kU1rS8iNGaKpvhvlohKWJmoIiU4hMycZof46bXYlScuWk6qDvqsHOHDFQ8Gu13n5qfWUl5ZTtmwh8sbTnDxdTX/SEtIjlMg10aRk5pAs1HO9zY7o7qG+K4zirZtZXZRFLB3UN7fS0OghY2kaerkMRWgiaVmpqJuqaBnQkPfEHh4vX0ZhYSFLshOJ0Prf+bmL23SVfW99xIV2Lct3v8qLO9dRXlrGypxwLJXnqbzZiSaviFSdfFr9Nsb2ArCze+IyUn32Gt1DQ/Q1taNe9jTPP7ODDSuziXbfobKqmsob/SQuTidiTIYDN6Zr+3jro4t0hpbw3GsvsGNtOeWlizGYr3LizDlqBxaQvyj83gmNXF2cfu8PHO+IZ9OrP2L3lgpKS8tYmRNK96WzXOvQkl+UOuL03Cau7XuLjy52ElryHK+9sIO15eWULjZgvnqCM+dqGViQz6LwUQmzpllGmLbNTN68+Zrr9+hUjNVnudY9xFBfE+3qZTz9/DPs2LCS7Gg3dyqrqK68QX/iYtIjRicWm8NxZXqaMHe2LaAZrxnLV1Gcnz3t73d1nea9PxynI34Tr/5oN1sqSiktW0lOaDeXzl6jQ5tPUaoOuUxBaGIaWalqmqpaGNDk8cSexylfVkhh4RKyEyPQBgnz3x9uE1f3vcVHF9rRLt/Nqy/uZF15KWUrcwi3VHK+8iadmjxvned4rHGbqPzkbf56vh3dit289uJO1pWXU7oklsHqE5w8U4kxMofMGK8vujvHUuQNVN9xoCt8iue3l7KssJC8lGh0avm4ZFCB6rJIf9NFLty2I3h6qe/Us3zzJiqKMoj2dNLQ0jZx3s5EU6ZgoOEon1/p8S2EZcSsWEfR8BFkGXK1jsiYEHrrWrF5PHg8HlymZhr6oygoKSAtzElHhxU3TkxtNVR26MjJiZ9Fkhw3A903OX1gP98OB7lBLFiziy3Z4ShGNcplrObs1U4Guy9z8MDXfHu9hhs3aqiuvMyF0ye50jyAJi6JqBD/ybpkWLh+7hb9AAxhkaVRlBU+B3dFBDQxqWTnpiLUV9HaL+Lpu013WDFbNpaxJEWLtbGBlsY6uoNEqk+2ELdqK+tL80lUGmloaqWxfpDkpZmEK0AICiNpUTapqkYqm/uRxxWyIj0UOSAEG0jOzCTKdJ06oxNddtmEhIjT8fHMxCanYgZ+W9DEkJqdS6pQT1VrP6LYQ22TgsUbN7G2JJeYoSbqu5UsKrmbQG8GPsndx9UDB7jiKWDX6y/z1PpySsvLWLZQTuPpk5yu7idpyUidhjpP8f7vj1LfryN36/N839eG0J7zfH6uA7t9AFGbTsmy8QmipqldwnRizntsVkxHYwPtD5WKsKRFZKeqaKxspl8eR+GKdEK9xoghOZPMKBPX64w4ddmUFUSPyZoesJ8absI19r31ERc7Qyl57jVe2LGW8vJSFhvMXD1xhnO1AyzIX0T4KOGf+VhNwYRx8dB3u5uw4i1sLFtCitZKY0MLjXXdBInVnGyJY9XW9ZTmJ6I0NtDU2kj9YDJLM0f0xW2q5JO3/8r5dh0rdr/mnZflpSyJHaT6xEnOVBqJzMkkRi3APf22gajEVD/rD/n0rjMhJhFx99TTFVbM1s2rKfI6dJpbG2j0ZLA0TT9mU/bRe/5bUBEem0B8lG7EUGXjPrN3EbL2WbYXZ5GclExW8VYeW6oF+rhR28sQgCKEqIR4ovXeb1GEGIhLTCQxMZHEhGi0ChBttRw+WIWVSCqeXD+SYVIZTtb6J6mIBGvVQY7U2pjhfs5EFFqiE1JZWp6JCui51YUqKnLY8AV1BBG00GCPpbgki6SYUUeG5Boi4gvYsiGb4TdmKXSklG2jPBIsV45TaxNBUBEWE0dspNZr3PY7yMv3sGttARnJyWQtX8+arHgiNXJkCKjCY0mIj0I37nkpuSaC+IItbMgeSdeu0KVQtq2cSCxcOV6L93LhxCbEE+X7AntXCGuf3U5xVjJJyVkUb30M7/DcoLZ3yDceUSTER+MdHgUhhjjv2CQmkhCtndrpi1ZqPj/EdRtEVjzJhqxwn60IqKIXs3lbLmP216fRb9O2s4Dpx5H1BI8XLyQsSEChiSVv4y62JcvBdIlDpzsYfcjAa5vXsRFJxc61ZIT6eiQogrzNj1EYAsYLBznXde9auM23qGz3QEwB+fF3N3QEVNEFbKiIG3cXR8RWe5iD3s5l59oMRi6dx+bHCgnByIWD5xi59PTLzMRmJuUBz/V+RxZPPF7MwrAgBIWG2LyN7NqWjBwTlw6dpmPUwM7luAIPyLb9aMZMNBo35luVeE0zn/i70aCgIrpgAxVxoy1TQUhUAvHReu/3K0IwxPnGODGBaK3iPvSHiLXmcw757PzJDVmEK+9WOZrFm7eRO0p45nasfXOsyuq99vosRkw4i/VPVhCJlaqDR7ztY+IcU2ijiPf1V2zYJEfQpqnL9i4Na3c/zsrcVJJTcynd/rifeTsTTZkKJ8amDhzDP6sI1Y6umUBIQg4F+SnD1/ESwarnnmHr6grW7XiOnVkj56YHb37Jl7f6Z+TnB278mf/xy/+H//GbP/N1g/dedVBMPptf/ide/P/Ze/Ogtq480f+jKwmEQEJI7DvYxmw22Aav2PGWeEscp9NOu9vTyWTSWbpn3m+63ryuen+8+tXUr+pX79WvZqZmpubNdPr1kqXTnUk6cceOHSd2xnHseHewjQ0GsxgMwWxCSCDQdvX74woQkgBJgO303E+VqwxI95z73c+555y7OWeaiTcrA3Gr+eHf/A/+9m//B//1xR2U6ABELK0X+PDnb/Af7aMh+6PUJJLg5xr2znsMuUN8MGIEYg1pZKSbkMRppyduM/t3raa4IJ8llVt5elsWCpw0n/waw+7neGLVUvLzl1K1Yx8bk4HhJm72+DSj1pHqF5entBSbRHpWBqbp1mpHmuP9CM8mwyX8vC3EGkjLSMfks0X7N0pqDu5nS2UR+fnFVG/bTHGmCa1SGhxFl5OUaI2ZVO7cTslkgENXsIHdUoDj9PjA8u/pAAAgAElEQVTnxSFuHj9FpwcM6/bz9Jo8EsfvYfuzbEm0ThvnI45dEdWcMxFZjA1fHmp0qX75wx9fLsgwTbfMOJI8BYjDNB4/6rPdfWwpSvTFzRiM5Tt4UhIeRy/2Tsp/DrqakSC99BC3eT+7VhdTkL+Eyq1Psy1LAc5mTn5tYPdzT7BqaT75S6vYsW8jkkvfZNylx+9NSkPPsK14fMWcmqTibTwjGS1HP5XGBrPnbXXo8UfE7QTWJHZ647fwvT1rKM7PIb94DbueXIkUBhoJDAPfvoFyOMTkU1mo87u5WJLzjCiAkf5hwssZIsN3LtI0BhjLKEkOcB+1iZIyIzBG46UWnzLmC4H4wjWUJwC9V6Ys6QE7dy/cZCxvLeXGqWWJylTNwVf2sTTwwBJVAikGJYj9tIdKBKoCVpcmTQYBlZFVB15h/zL9DAaiwlR9kFf2LSW4uRSk5tqDDA4gJr+SQp3fl2KTyTMqgBH6h+ee0cXhZi7dcQBGykqSAwKfgDZvLRvXVpDtW0sctdzmxc7GSaK8POA1Z8pEllRmoQDMdXX0TpiByHDzRZocgKk82DY1GRRnq4EB6hoGZu+HQpCSU/clLrcN+y1HFEiqepGfvbaZtPEmxGGaLzYhNV1CcNPFSE3X0TD+5CSa7wSwsDazsL6eVF4e8DoDJYlLKsmSFEvdhGLnWa88KrYdgjCvrxCksqn70mXahv0WygpJVL34M17bnBbR+1AXVB7iMM2X7uAAjGXBdi5o81i7cS0V2fEI861rcZg7F5sYm6ZttakEyYQbudQyjxO7sxCTvyLAb03kJsEUv52H+DAVD7b+Eb+f1cSFswHVWETh+GBE0JK1NMXvj2M0X+2YXJIdAerM9Tz5zFPs2FhBTrz0O2dPHZ++9Rs+OHcPe4AyYjI38tzzr/HS01Xk6FSACn3eOvbuXT653FPs5uyh03Q5CUaIIc5fhiN92OZloByImryKAiZXXQrEp2WSAKBdxPJsvwPKVHoy0zTACP02T9CVIiXSHO9PWDYZNpHk7amoClZTmjQ5iFIZV3Hglf0s0wtEnZNUJqoPvsK+pdqA2k1FQooBJSL97dLEnjjcwtd3PYCBssB7EPQsWpE9Tf03D7ErqpqTCGNsZPKYC5HkKXG4mYuS8CgPsl0NGcXZSOGugckSKlpdRYg6j4oCv5PyhXjSMhMA0C5azlSXzkRy6X7GXVocvsNFyWhD+KUaU0kZUhq6RMscBk1zbyeG/MpCppaUeUglZT+BYeAR2qM8j2hN6ALuTBkTixLwuMMN0i4G2vsQAUGfSmJQNaZGn6pHwIzY147ZVYF+Po8tj82iepWJq6cHuH7xLo/lFKEFRGsTF5oVFH13CfoQnuE0N3H1Qi2N93qxjDhxi17Ai2vYA7gZc4UwmviUgJn1cHFibrrKhdpG7vVaGHG6kZpzITU3RqjmtCZdgOEpiYlVAh7CVs8MuAba6ZcUR2qw4kCTw4adOVPvJBq5zYudjZMw8WRnEgGNMZUEOrANdTLggOwYABfm9n5fsTtC27UrdE75nodBX0VnuWfGSfqMjq5MLGZd8Rccut3F6Tf/jqtZJZSVllBSspRcYywa/wlRl5n2fp8sRtq4dmVqy3gGfcWkhXtmJ6SrovtOAAtrMwvr6wn+q198CBojqQnQYRuic0Kx86vXcR6+bYcgrOsrSSxeR/EXh7jddZo3/+4qWSVllJaUULI0F2OsJqp3oS6YPFwDPjsX0KcmhhjAa8jZsBMp8jjmV9euAdr7ZmhbrSdVL4BZpK/djKtCP4fXKoZPsN+qiNWomOK38xAfpuLFPeZf6ShnOETND00i2gmDElAnSDIaf1ji6v+GIVcJ2gjfmavS51FWkQesYs2aUo68/ntqbYBngPrP3sah+TE/WDk5aBC06RQWBl8nLruUHPUNGsereksdtd9sISc/QJMKYer9uh2EOi9s7mgxBe6jVMVI96E1TXmqDQrUMUrAi3se4kc0OX6i1+HYZNhEkrenEp+SOINPzyEnOc00Xb1AbeM9ei0jON0iUlkmTYK7x1yIgMvcidkLCAYyDMEdjNGbiKcNW4i+zTl2RVtzRhRjfYQpj+iJLE+5zD7bBUbarhEc7iaEx2QJFaWuxFE6r13mzpC/YQtoc1ZQtVgfnD+1pqAzMVQxSt+fEqZ+XqFGcmk3kymwnb4Z/FKtT0VKQ320m11URDlomns7WkzBCR2ppHQTGAb+NAfKCiVC4PoNhQIF4A07YYg47L6N/TGh90Up1FKhJLrsOOd9il5NSsVqsr78hK7bF7hjXUyFXsR88wIdmmX8eX7gwRYiox2neOuNM3SLCRRUr2VTngmtWkCBi2+++IDT3dM0JYSQ12yIo3Sceos3znQjJhRQvXYTeSYtakEBrm/44oPTTNecQikEyVOhUABe5iOfiw67NEOojAljb98c5DYvduZDUKIMUcwp1BqfkzqxuzwgWRzOUV+1ZG3h+tWuEPaZTEYGqJOUeKW8Mj1KAxXPvkrchVOcuXyTe10NXOxq4OIJ0OVWsWX3dirTfUuyRSeTTV/nalcIASdnkIGaJKVXSvTRfCdQDgtqMwvp6wLK0IpF44u+TrsLSbPzrNdHxbbncH2loYJnX43jwqkzXL55j66Gi3Q1XOQEOnKrtrB7eyXp4W0aZ8HlITqw+w4mipk18MyzrmdtW4E6VoodLrvzgT1RDstv5yE+BCIopTZ8DeAJ54YVyinXFZQBJyfPQ54XEhazcX06tZ/e9/3GScu5G/Qvf4y02aoxZQJJWmDiMLAR7psdiPkBJyx7RTz+PiqooppQmh0B5XSFQ6iawu/ncHQ4E5Hl+IBuzGcuiShvB341uB+TRJeTxNEOTr31Bme6RRIKqlm7KQ+TVo1Uln3BB34BTnSNSk97lTGh3wktqKd9ojzn2BVNzQkRxtjI5DEXIslTonPU9wTbSsv1q4QOdxmgTkLpE17UuvLa6bjwH5zunfprXVUBlaEGyjPoJZS9Tv7s6+dsfqlQS4NR0YV9DsF07u0oQsQuhfTihxAFzp/mQHleEIiJUwEuPC53yADqdTulmQeVZkFePq80lLJ28Uk+uNPKhVtmylY5qL3ch7HqO2QETiq5zVz75AzdIqRvf4GDNSl+yrUjXp7fDrrN1/jkTDci6Wx/4SA1/u+fsIvMc3MRIcTEoQJcHhfu2TLfA5bbtIii9DQ+AK/L4Vu6pEYzEREE1BoV4ESZ8zjPP19KhG8RCUadRNHG71C0cS+2ribqrtdy9es7DHRc4fCvhxB+coBKgxIE3wDPqSTn8ed5vjSMlqP5zgNlIX1dRAytWBy+h15qzXghNM96fVRse46ok4rY+J0iNu610dVUx/Xaq3x9Z4COK4f59ZDATw5UYgjzAJ4FlYcQg2RGHlyzBp551vWsbXtxO6V5cpVmugL4ITHv8UGJ1hAHjC+/9uCcVR+A1zPF970e99QJBXXcPLyOTok2NQUN9yeXcVu7sbiYfaAMBAWn0MEKp/8D9TiD35PyR5fg+tSLxxNabxHl+IUkorwdCdHkJDfma59wRgpwvHCwhqll2eWpE0FqSYYOjzP0igPRPc2E2gLUH+ESUYyNTB5TCDFY8no8M06khJunBN8kilOZw+PPP094JVSUulImUvHcaxQEfEkZb4poy1K4zOqXXjdSGlKhmcOg6UG1M9HenK/wJ4saY44JBSBae0Ps8XFj67UiAgpTLsYFsTodi9dKQaj7Ui2ddy9zfTiLNctMwTMcLjMdZgAduXnBS3q88/wIwWXuQGoul7ygNTTeB/bEIhRqYw4mSXH0hdicJTrNtNbX09LneOBym55Q+6NEHJY+qdzTZZI88W44NcZcyTY91uD9FAC4LbTW3aCha/YDaESXjb4es++VLyp0WaWs332Qv/zpQaoSAWcztR2jvqaN5JoUgAfrNHtV3ZZW6m400DUiRv+dB8rC+nqoPb2iw0KfpFgyk8efCM2vXh8d244WEZetjx6z79URKh1ZpevZffAv+enBKiTTrGXcNGdloeWhNpIjBR6sfbZgOxedmFvrqW/pwyHOs6792+4N0bbbRq9VBBSYco0LUiRFzbzHBzXGXKPf044xhkbDWFPrsDI6cXkRl314ygGKSmMGE+dOeWy0XfyUjz76lEt3bVOX6jnv8dm//T2/PNsb8l5El2Pq5wUVyvHOjrXy0T//Pb+7NRz8Rfcw5im2Hk+aMfh9vaJrhGG/TZeq5GxCrNZ8RFAg+NaJu8dcUwciogPrkCPktyLK8QtKJHk7EqLJSS7MUoBDl5sXvLQ5IMCpk7JIAhCt9AwF79J1D5sJHVrnOXZFQkQxNjJ5ACgE3yoS91jAgFTEYR0itDVFlqfUxlzJdj3WafbEu7G01nGjoYuJEipqXamIT04nIyNjyr/Uad4XPFf8/bI3hF+6bb1IachE7hwGTQ+qnXH+kw+UFQi+dTPe8WlBt4X6z4/wae0AcUXVFKqBgXoazQHKcJtpahgA1CyqWjxlU/h8EpezmkoDMHiJwx/X4V60luLEENPDQqxv75SDoUDnc9voGZqHfYVTmtNKxZZjKChQum09zEtzCsG3rMnLpHrq+fzIp9T2TX/8gqAvolpSHPVN5oBgKmJv/ox33ztMrUV84HKbngHqbwccfCEO03q9CxFILF1G2kSxI6BbXM0iNdB/M9g2EbG3nOT9Dz6mdmj26XZ33wXe+cX71FmnJg4hIYeSXA0TS1JAmrypXoTUdCPBTdtpOfk+H3xcy0TT0Xxn3nl4vj5Qf5upZxCJDLdep0tSLMsmFDu/en10bDta3PRdeIdfvF/HVNMUSMgpQTJNxZTlYArBt3zWK/qKbjeW+s858mktfeICy0PQU1RdKB3EUt8UZOeivZnP3n2Pw7UWRGG+de3fdrCPuc1NSCa8iKrFurkl/ijj8vR9n+/4IBCfV07GxM8ehnpCFNWBmFvomDhoysH95j6/gZuawspcpLNs3PSe/x1vfXKe2trzHHvz91zs87u6V2RsxMY3je0EnVslDtNe1zHl8CB1ztLJ2O51Mzpso/NOb8DBYSL2eze55//FxDJWZAbv8XNburFO/KQkZ1k2cUGfelQQiNUnEgOM9vbgfw6Sx9LE9fvTfCuSHL+gRJK3I0FAH3FOEoj1baB3DAVOOLmx9QxNmaAREhaxIk8AzNQ39E890Eoc5u6Nzml8Zp5jVyREGGMjkQeAEKsnUTJGeqYaI03TGWOEeUrQLaZaEh43GwNtF0R7Cyff/4CPa4cm4k/0unqwTPHLoHtzY25qQEpDVSz2K6RmzNshUkq07UR9X3O+woNGdGO3WhgacfiOuHcwPDRAX28/lim/s2BzeKQ16lYLVru0fMXrHsVqGWLEJa2p1xiTiQPsA0M4RRBH2rh07ipNQyJKfRm7nliMhj5OHz5L+/jxlKKdjq8+5nQvxC5+gp1ls5zUNxdi0lhRnQ64MFvjKF2ziIRQjcWms7w0EXDSeOJzbg36rMszTNvZo1wYAPDisluxDFmxDQXK0IJlaDjEHiwRt92KZWgEh/RhHMNDjMYvpTgRcDZy4vNbTDbXxtmjF5Cak2Q/ZLVhswwxIl0A0THMkMWGpB47VosVu1s6UMc9KrUlqUeDMTkOsDMw5EREZKTtEueuNjEkzrCcSdBTtusJFmug9/QRvmq3T8xqOgdu8tnx27izathUEDcvcpvdzkIh4rBZsFjtvgPPNIjXPuKzm32SnN1W2s4e4liLCxKWsbMma8pJh4K+lN07i9DQyxeHvqB5YlZNxNFTy8dHbuLIrGHr4oTwbNPTzdnTDQz6RRzXwG2utoxBzCJW5I6vDxLQl+5mZ5EGer/g0BfNk7PdooOe2o85ctNBZs1WFk8YahTfcY9FZzPT8uB8XXTYsFis2H0d0ojX+Oizm/RJisXadpZDx1pwkcCynTVk+Sl2XvX6EG07OGaY6fnmPgO2SK4vpUxP91lONwz6JUMXA7evIpnmCnL9lq4JGiNSyBhgSFIybZfOcbVpCHHB5QH6sl08IQUejnzVPnmisXOAm58d57Y7i5pNBcTNt64RJtvuO83hs5Nti/YOvvr4NL3EsviJnZT5ToEU3Xap31N8TIpJ7pl8aaa47HJE4bfRxJSZURpK2eD3eqfBtsmnM9Pi/YbP3zvM6UtXOP/pH/hj3eQzGlXeVp4oGZ9gcGHpHJgcRHsH6LQEV3PiveO891kdPXap4PaM9nDr83/n0C2/IXBcETt2lARNvtmvHebY1U7fJLQbW/tFDh+5OfnUSEhnwzObyQ4aJ7ux3uuYPNRHW8b6JWHmgDBwj9mCagGLzYFH9DBms2Ad9u1/90j+MuwUEd2jWC1WRnzFhWfUJtmETx+xGeXkxwD3T3Ps7G26+vq533qFox9eAaPvADC7FYvFxtj42CWSHD+vuWQOeTtkPywMDYc+M0CIOCfFkr68VHqC2XiCz28NTrxmb7jtLEelAIfX5fN7Uc+yHZvIUMDAmQ/41O8e7p47zMn7vkOoPGPYhqR4N9m3SGOXmzFbuDXnTAgRxNgI5eESITaDcskYOX3sLLe7+ui/38qVox9yBSPS2VV2rBYLtrGpw+yw85Sgp3T3TqRwd4gvmicn8URHD7UfH+GmI5OarYsna32lIWpdzUxovdgcHkTPGDaLleFxv3UMM2QZximKkp9YR3y68zBqk+KA6OeXfacPc3bCL0XsHV/xsWS0PLGzbMphxNPnbQuuseDxh2VYRdHOyNqZNnYhSjnfapeWcXvdjFotDI1MxnTF3/7t3z7MHR6RM9bCB//4NnUB72lQqsETkKtMW37Cj1cP8eE/vkP9lDUTAoXP/TdpL5TzPl/97jecuOskISWNWNt9BjQVfPfFvZQnKgEnfddP8NHxy3SOxWNK04Gth4GROHKqd7D38QpSFnhZkzhUy1v//BF3Ezfy6o+3kTHdSgJnD1cOv8exmwOICMTpdSidTrRFG6mwfs6Juz7HVuZQknCPhqGA7yvy+O7PXqR8yp6JMVo++EfeDhR4bCnfO1jIrY+OcXNABCEOvU6J06mlaGMF1s9PMNlcCfp7DQxOuYCJLT/5MauHPuQf36mfuqRFKOS5/ybt3XDe/4rf/eYEd50JpKTFYrs/gKbiu7y4t5xQD9aniKPvOic+Os7lzjG0pjQSBTv9fTbiFm3i6WceY9F4FJqj3MKys0DEQS794p84Nj5JKeSz74clNH50nAaLAgEREVCmVLBn/x5WpoYyMif9dSc5fPwSHSOxGFKNaEQbff2jJBZvZu+TG8gPo7AUbS18efxzrjZ8g02pIzlZh9o9TH+fFa+pmM1797I+L+D1Cs5+6k4e5vilDkZiDaQaNYi2PvpHEynevJcnN+QHT+hE8B1X90n+9fWzUdnMtDwQXxcZvPQL/mlSseTv+yEljR9xvMGCQgBRUiwVe/azZ2XAqx6kjs6LXqVLPQTbni5mhGDm6/9Xnom9wvHPr9LwjQ2lLplknRr3cD99Vi+m4s3s3buevCmvenJy/6vf8ZsTd3EmpJAWa+P+gIaK777I3vJElA9CHs4+rp/4iOOXOxnTmkhLFLD392GLW8Smp5/hsUX+A5d51DVMbTvehGTCA4zE5VC9Yy+PV6RM2NtYywf849t1wa88iqvg+Z8+Q+EMB5JOF5d/WH2f3/4ySr+NJqbMgHvgEu/8/BhtLkDIZvdfvchqo1/SGL3NO3//LnfGa8qMbexOv8Hx2j6/gYuKlPLtPL1nNdlx442LjNw5xq/euSJtPzJV88OXdrFo3A7dg9SdOMa5hrt0W6WiRCEoJleyACj15C5by+atqynU+60JdfXx9WcnuHLnLt9YpIXf0suCxlFjWlzFY09spjw1eNk17h5Ov/5vnOoD0LD0mdd4rsIwT4d5ueg++a+8fnaqdjFt4ScvF1H3+uucCfhTxu6f8kLaGf7lN1eZupg8nd1//QqrkwTAzeCNI/z20HUGJh6hGSnf/Qzlbe/w7sTEgonNP/4xm/02c4eT4+c1l8whb4fuByjyvsvPXiyfZp9vpDnJSc+Vw7x37CZSWaZHp3Ti1BaxscLK5yfu+p6iqlhy4G84WByD7c4pPjh0lrt2pAPtvB7U2et5eqOHT39/ceLsuPgVf87Pns6f0lbYscvVzcl/fZ1A0wldc4ZB2DE2UnnE4R68wZHfHuL6pDFiLN/NM+VtvPPurYl4adr8Y/7L5jRAxNbyZYR5Cpz9dZw8fJxLHSPEGlIxakRsff2MJhazee+TbMgPnODyzEFX0zCNXkxbfsLLRXW8/vqZAHvNYPdPXyDtzL/wm6sB20PSd/PXr6wmSZjql/GmNHTY6BkYIS6nmh17H6ciqJCaLm//gPLGX/NOiPHHwZ8+R95wuO3MELt+vJqhD/+Rd6YmdITC5/i/ny8Fvo0D5YVAdGLp7qDb4kChTSY7J42EwP0MogPzN530Wh0Qqyc1OxNjVHtPFhoRh6WbzvtDOBRxJGVkk6ZfwMNbRAeW7k7uDzlQxCWRkZ2Gfp5PNhOdFro7urE4FGiTs8lJS4jgFDoRh/kbOnutjBGLIS2bjKQQBcaDltt0eEbp77pHr00k1pBOToZh9gNkRAeD3Z30Do3hUSVgysgkRRdF393D9HVLT/08ihh0yRlkpswsa9ExSHdnL0NjHlQJJjIyU9DNov9ovjNvPDRf9zDa38W9XhtirIH0nAwMsyl2vvT6qNj2HHAP99F9fwCbw4MiRkdyRiYpQYobR8Rp6aaj24JDoSU5O4e0KZ99MPIQHWa+6ezFOgaxhjSyM5KY1ozmTdcBbTsgVp9KdqZx+rajbWNOcXmG685bfPBgu32UX7/7NYNAXNl+fvys35OMwIFy1j7+5qXlqC1d3Ltvxa1OwJSRRWpIOxNxDHbS0a8gOS+LpGl82eOwMjhoZXh4mJExNwpVHAlJyaSlJM6qD7d9EPOgleERO6NuBTFaAykZqRim/aKHwa9/x78dbsGJgtR1P+SFxwsJ8SrhRxLP6ABdnb2MeLUk52STEhfu8D7cHL+ARJO3IyHCnCQ6LHR33mfIoSAuKYPsNP3Mh1C67fR2dtI/IqIxZpIz2+cD+jafsSsSwo2xEcvDM8pAVye9I160yTlkp8SFNdkUWZ4CKY5009k7xJhHRYIpg8wU3cLp6oEy6ZcOYtGnZpMZ4kwF/8/PnLfnq53IkQfKMjIyMjIyMn+CeLA1n+aDP3zJ3TGB9LXPcWB7MQYV0wyUKxfsvJGFxclA3Sf87oNaBkhgyfbneGZ9Ltpv5b3IyMjIPDrIr4eSkZGRkZGR+RNEiW7xVp7/v4qoPXWSLy4d5XRxAU/nz7Cu/NvIaBsnjt7As2g933l8E+Xj772XkZGRkZkT8hNlGRkZGRkZmT95PKMWbIo47Off4veXerGN+h9sokKjjSdv14/43rI5ngz+oBFHGbQKJBoe8JJjGRkZmT9x5CfKMjIyMjIyMn/yKOMMGPCgLKymJm6M4KcESnRpC/OO0QVFiCPJ8LA7ISMjI/OnhzxQlpGRkZGRkflPghJdXiVr8h52P2RkZGRkHnW+dROnMjIyMjIyMjIyMjIyMjILiTxQlpGRkZGRkZGRkZGRkZHxQx4oy8jIyMjIyMjIyMjIyMj4IQ+UZWRkZGRkZGRkZGRkZGT8kAfKMjIyMjIyMjIyMjIyMjJ+yANlGRkZGRkZGRkZGRkZGRk/5IGyjIyMjIyMjIyMjIyMjIwf8kBZRkZGRkZGRkZGRkZGRsYP1cPugMyjjgdb29dc69FTtnIpxpiH3Z8IEAe59H/+iWPdvp+VBTz3Ny9Qqn2ovQqb0dvv8A/v3sHl+zlj11/z8pqkBz67FVY/PDbavr5Gj76MlUuNfJvM5JFj9Dbv/MO73JkUOH/98hqSIla8iL37Nre77IiRfM0zxO0vztA86vvZtIlXX9tKhjrS9hcOj62Nr6/1oC9bydJvVVCaO2MtH/LPb9/A7vvZtOlVXtuawUNRj3OAm6eP8+W1VnpHPChUcRjS8ql4/Ck25WsjiFVjtHz4z7x9Y+Ku2PTqa2x9lIzuPxUig5f+D/80mTwpeO5veOFhJ88Hmmec9NWd4vM7Gezat5zEcWMWXdh67tLSdo/uvkFsDhGVRk9y9mJKywpIjg1h9eIY/XcbaWrtpNcygksRS4IxnfziZRRlaFEGtNv1xSEuKqt5fH0hOmXw5eaO7G9hM9bCh//8NpOievTyoczCoty8efPfPuxO/KkgOvpprm+ia9CLzqhDrXjYPQoD0UF/cz1NXYN4dUZ0gZ0ea+PjX/2BC7cb6EuvoiL1W1SUKmJJXrqCqhWZmK83MCAaKF1fSeq3JMApExdRuWolBc4GbnY7SViylpXZcQ98oBxOP8baPuZXf7jA7YY+0qsq+DaZySOHMpFFlatYWeCk4WY3zoQlrF2ZTVzEinczcPk93jlxg7aODu62ttLa2kprawuN9Q00NjXR1HyXjvY23+9baW2+TX3jAPnffZnvroqh+fo9RjW5VFXPf8EWfbwco+3jX/GHC7dp6EunqiL1P9XEjKDPY/nKlRQpm7l+bxRNbhXVhToWpJ6ekVFaj/2S318cIGXTD3hh/07WLVbRdv4y99OqQsQqEUd/M/VNXQx6dRh1aiZVLqDPW87KlUUom69zb1RDblU1hQszSpCZFQWxyUtZUbWCTPN1GgZEDKXrqXzIyfOB5RlxhNaTb/Pm5xYWbdlEcXKsZMuOdo69/i/84cwNmsxKkjPSSdbH4hls5vJX5zl/tQNF7lJyE8dtW8R25wS/+83vOXHlDpaYFDLSktGrx7h/6yvOnD3HrYEEChZnEj9h6ko08U5uf/IHTt6NZVFxNgnz7gayv01hpjpY0JO3fCUri5QLmg9lHl3kJ8rziHekmZMfHqdHv4aXCjPQfhuqN+8IzSc/5HiPnjUvFZIR2Gl1CqXLcujuNIR1XFsAACAASURBVFCeHvtw+hg1ArE6A7HqftTfwk0GgjqeRIMaW6gZ6kesH+qUUpbldNNpKOdbZyaPGoKa+EQDalvsvEyKCEk1/MVPtvnNgA9z/Zd/x6FOSN/xY15ekzQxyHL3n+X1f72IKj6RxNj5aX86oo+XalJKl5HT3YmhPJ3/bOYmqLToDTGMPeS4gP0u529YQVPOxupCkjRAXjXbH7NwJyWG4HkPLyPNJ/nweA/6NS9RmKH1m+AQUGn1GGLGeNi3JSMhxOowxKrpf4SS54PJM276r/yB3381SNH+H/N4kW4yDoqjDFpEhIytvPziJjImDHgz6y6/w8+PtnHqD6co+Mvd5MYCiNg7G2kfiaFwzyt8vzp5cuXHY2s599tf8FndEd7RmHhtTz5xvj/FpKzk6T8b483Xj/POx4m8sq8E3byqQfa3KcxUBwsqtHoDMWMLmw9lHl3kgbLMzCj1lOx5iZKH3Q+ZRxqlvoQ9L8lWIvMgUKIv2YNsbg8Xt93MkAtIMBA38XQlluyaJ8l+iP2S+dPlQeQZj+Umn5xow5Ozh23F+uDBkUJNwYaVfoNkABWmstXkf9bGHesdmgZc5GZOPn1X6JazeXny1O0RMWmsfKyMM2/fYOjaedq35FPst7JdnVrFzjWX+OW5o3xekc/eRQ9+NZmMjMyjOlAWHQz19zPkENAmGjAkxKGaNkKIOCz99FnHUGj0JCcbwp8hE51Y+3uxONUYUlPQx0z3RTf2wX4GrA6I0WFMMRA/fYciwj3cT8/ACN5YPcbkJLTzrBHRMUR//xAOQUuiwUBCnGp+g63owNLfh3VMgUafTLIh/Fk30Wmlv9eCU20gNUXPtOKf/gq47FYsg1bsYgw6UzLGOQgwLF14RhnsH8DqUBBnSCZZP8v9ii7sVguDVjtijA5TsnFmHbtH6O8dwC7GkZRqQvewViXMYz/c9kH6B6w4iEFnTMEQP4sNRuT/UXfKp0eI0RlJMcTP0Ebk/u8Z9d2zIg5DcjL6WYOSm5H+XgbsInFJqZjmRfFKDMv2sD9PR1KYy8QEXQm79qehNalgOOCPYcfL+fXLiIhIr9HiYdRnD4o4A8nJ+llyTuTyiCZuzz2ejrdtob/PyphCgz45GcN0Nyd6fHvfFSGeHs8XIk5rP70WJ2pDKin6mBnkEKleZiHSWB8R0fqIiMPaR5/FjSY5jWT/73hGsfT1Y/PGk5xq9Ju8mB7P6CC9fVY8sQZSUhIjllekcS7iXBANYcepULjoqz1Di0sgf9VSDIEyjCvi+//9v4MyhHCFGGKVgEvEI3rHf4m+9AmezUkJ+QRcnZiGDhh1mekfcTO1OIghvaIC07nT3Piygc0FKzGEfSvR1qzh+5vosmO1DGK1i8ToTCQbteENKNzD9PcMMOKNRW9MJil0oRWhLy9cjT4tEdnZ/MWmiHwo0vpz4nsOrH19WNwaktOSmRpmLPT12/DGJ5NqjJtxy0/kddCjyaM1UHYP0XT2Ez776jb9njh0CUoc1mGcgp7skuVU1Wxgecb4rJqboaazHPv0KxoHPMTp4vGO2BhTJlO8YQe7a5agH787RxtHfv4OtUNSWlelPcYPd8Vw7o8naDCPH3OjY/G2/Ty7IddvL6Aby+1THD52nlarkni9FoVjiGGHhuTCElZu2s7a/HgE0cLVN3/O0Y4xqXCwXuRX/+uyr58x5Ox+kce63+V3tUPS31VpPPbDPWguHOKzWwN4xpvL2M1fv7wS94Xf8MuT3dLhScpk1v/5j9ieFQM4aD/2C96+MihdR7OE5/7q+1NmISdF2cTZTz7jq9v9eOJ0JCgdWIedCPpsSpZXUbOhnLj6t/n50Q7GpE5z8Vf/i8u+e4/J2c2Lj3Xz7u9qkcSmIu2xl3jpsTTJaNxDNJ09xqdfNTLgiUMX72XENoYyuZgNO3ZTs0TPpPiP8PN3/K/zQ3bFnOOPJxqYFP9itu1/lg25Ycyainbaz3/Gqau3uGt2o9HpUbtt2Ea96PLXsOPJrZQnTzfQcNB25Oe8E5YuVk8eoOS20PjlMT4914TZq0WnFRm2jaFOLmbDrj3ULJq6R1C0t3P+s1NcvXUXs1uDTq/GbbMx6tWRv2YHT24tZ0oXRTsd5z/mo1P1DLh9v1MkUrT1aVYHncQkYrnyJj8/dg+n32/jln6Pv/reUuIYo+XDf+V3N4eR0rWSlJoX+fHWzNkkG2E/ppHnSy/xWJoKt+U2pw4f43yrFWW8Hq3CwdCwA01yISUrN7F9bT7x/soOw//LVLW88cuTdEvOQfL6P+dH27OIARztx/jF21cYlJyDJc/9Fd8PdA63hdunDnPsfCtWZTx6rQLH0DAOTTKFJSvZtH0t+ROdCtP/p1y+kS+Pfcq5JjNerQ6tOIxtTE1y8QZ27alhUdDGJhF7x3k+/ugU9ZMCJ7FoK0+HFngECGhSFlGSEsE3Yk0Ulpike5kYKHtxdp/n32eLl+H65azx8lVeqJrm0LoQsfyllx4jjUj0Gi1uLI1fcuzTczSZvWh1WsRhG2PqZIo37GJPzaKp+9aiiFOzx+3lZARuVvc66T7/79HHU/+2j33KV40DeOJ0xHtHsI0pSS7ewI7dNSwZT6jjOrC4Jf0NnuEX//MrFIDStJYXXn6C7IDwK1qu8ubPj9IhJRusF3/F/5pMNux+9QWqAk6r8zq7Of/vf+REg5nJ29rG/mc3kDtFBhHqZVZBhBnrPWYuvvE6n3a5Jr+rSmPTX/wFm+Ju8ta/HaFjPECrUtj44o/YkuYK0yZC56m48x9wvN6X/9GQtfYZvvf4YhStX/DhR2doG/fZuDw27t/PlsIEBEQsV9/k50fH84WGJc8epLz1Y45c7Z7MIQn5rN+zj60lhlkLw0jjXMS5IIhQ8tiG9cN3o6jrZroxMw03B4AUFmeFOoxOQJjGlpwDbXSNAfGFLJnwa4G4tKWUp4X+juh24AYQtOg0wa2pDAXkxp9m4N517g5XUqmffcI10pw1Tnj+JmJvP89np65y664Zt0aHXu3GZhvFq8tnzY4n2VqeLOXjEHXfHs0FDn12i4HJQovdf/0yq5P8cm5Evhz9/Y7fj+Qb09fBr75QFXCQZpj5MKr7mZ5IfCjs+jPU2GhPHOc/OE79oO/eNFmsfeZ7PL5YQesXH/LRmTYmw8xG9u/fQmGCENDXSOugR5tH5zAvj4Xrh37J+5e7Sag+wI9e2MfWmvVsWFdKkrWOS3V36NGWU1WoQ4kHS90f+dV7l+jWrebAyy+wb2sNNesrSB+r58uz56kzmyhdmoZGAAQtqQVLKc0XaLnVhV300N/Si2HNLnY8VkVxOtxv6aCz9S7eopUs0ktKdPee4+03TnM/8wl+9NoBdm5cz/oN6yhN7OPqhRvcT1gm9UehIjF7EcWFGtpv3mNUW87TB5+iZtUKVqyooCQ7mZScRZSUFSK03KRzRETsb6RdtZzHn9jC2rI0XO0t9KkXs3ZlLnpjDotLCom9W0fHiJKMFatZkqgEBOKS81m6NAXLrSbMTh0lG4IPp/JYrnPol+9zuTuB6gM/4oV9W6lZv4F1pUlY6y5Rd6cHbXk1RVm5LCouRNN+k3ujWsqfPshTNatYsWIFFSXZJKdkU7i0lHyhhVtddtQ5q6RDYzwW6v74K9671I1u9QFefmEfW2tqWF+Rzlj9l5w9X4fZVMrSNA2S+FMp8LuO6OmnpdfAml07eKyqmHTu09LRSetdL0UrF6GfzYc8g1w/coRr3kr2v/Ii39lWw/qaDazKU3L33FnO1Y+QU7EE4/iBDG4z9Rdu0OcxULZ+JXnZhWHqwneAksfCjUO/5P0rPSSu/T4vP7+XLTU1rF+ezND1Lzl/sZHR3GUsTpo8nMYzeJ0jR67hrdzPKy9+h20166nZsIo85V3OnT1H/UgOFUuMvgOMXPR89Vt+fbKFEV0Zu37wZzy3dzvrShLpv/QJF+/bsY+KJCxZy6rsOAQUqPRZLCpI4H5dK1bRxLrvHeDxZRkkatUoENCmFbAk082dejvLnv0+20tSSYidTbCR9gNAQJtawNLSfISWW3TZ1eSsqqYwboBzb7/B6fuZPPGj1ziwcyPr129gXWkifVcvcON+Asuq/A7ECNP/q5fmkLe4hMLYu9R1jKDMWMHqJYkoASEumfylS0mx3KLJ7ERXsiHg8Bk3vefe5o3T98l84ke8dmAnG9dLbST2XeXCjfskLKuaONAkbP+fuIUbHPrl+1zpSWTt91/m+b1bqKlZz/LkIa5/eZ6LjaPkLltMkt9BIa6er/jtr0/SMqKjbNcP+LPn9rJ9XQmJ/Zf45OJ97PZRxIQlrF0VzWFe0+Gk5+tz3LYSoMupiCPtXLnchl3wMtDSg756B09srKIo1UtP6z26AuJl2H4Zo54lXhpJmG52PjCWq3NYVZ3L6MXw9RodHiw3DvHL96/Qk7iW77/8PHu31FCzfjnJQ9f58vxFGkdzWbY4afJQsgjjVHhxe/w+REbar3C5zY7gHaClR0/1jifYWFVEqreH1ntd4cdTwGOp44+/eo9L3TpWH3hZartmPRXpY9R/eZbzdWZMpUtJ0wiTOihQ0lr/DQ7dCr7zgz2sX7WCFeUFpOo0KAMeMStUiWQvKqZQ087Ne6Noy5/m4FM1rFqxghUVJWQbE6Qn4OII7Vcu02YX8A600KOvZscTG6kqSsXb08q9rlbueotYuUjv87so9DKzIMKP9YIaQ/ZiinIUtNd3YffqqXz6Gdbn6NHEJpKZk4i1qQXvimf53o5VFCYnEIslTJtQok2bmqe8g230Gdaw8/ENVBQkYLvbyr27TfTFiNSfvUfGpl1sW7+MbLWZ1vZO7raMkb9yKUkqBarEbBaVlJA2eIsms4MxczvdmlU8+4Pn2Lt9HSWpHr6pu0l93W1GspezxDiey9yY6y9wo8+DoUw6zCviOOfujSwXhCREnqnexJplJRHXdTMh2hr5/D+asMXksuax5SSHdXaZC2v7FY598B90uDJY99zTrEoNtUc/qDVsjaf4osmKqmALO6syiA38kgC2Wxe4YxtDKKymzDRzhyLNWdH42+D1Ixy55qVy/yu8+J1t1KyvYcOqPJR3z3H2XD0jORUsMapRatMoLCmjUGjhZucIothPY7uK5Y8/wZa1ZaS52mnpU7N47UqypUIrYl+O+H6D8PnGDHWwMUF6qh5xPpzP2BShD4Vdfyq1pBWWUFYo0HKzkxHRy2BbH4Y1O3l8QwUFCTbutt7jblMfMWI9Z+9lsGnXNtYvy0ZtbqW98y4tY/msXJo0MbkWTR30qPOIPAcXsTV8wrFbw2DayDPbi0nyxQMhNpXlO3ZTpvH79HAjx4/exIaJjc9so9jgU5E6ieJtz7DRBLabR/m0cViaGRNiSUrPIjNFJ+0RsfcSv+V77FlTTH5OPsVrdvHkygRgkNuNA77X4HgYaq6j2wtplcvIHJ/tE2JJrdzOxgx/11MRn5JFZqpeur4qnuSMbLKzs8nOziI1QU2sIY2MdBMJKgA73yhrOLh/C5VF+eQXV7NtczGZJi1KBah1qWRlpqIPiokCsUnpZGWYpl9WJdpo+OQYkiifYXtxkm9fjEBs6nJ27C5jXJSq+BS/dlTEJ2f4+pxNVmoC6tgk0rMySdH5d0RkuPE4R2/aJF1tK2ZS/MVse2YjJmzcPPopjcOiT2RTr2PvjWfL9/awpjifnPxi1ux6Ekn8t2kc8JudnxYlWmMmlTu3UzLxahgVuoIN7K4xgfUap8d1H4QQkS4m7tdnm/u2FJHou98YYzk7nlxBPGYuH71Ir3/XlVqMmZXs3F4y+UotlY6CDbuRunh6Qj7i0E2On+rEg4F1+59mTV4iMYIKbXo525/dQqI1WCaqhFSyCldRUxQL9NPcG0uKaXLwqjEa4V4r9ow1rC3OIU0/+1LeaPoxYZOZKfibiWeomTrJeViWqZnoV2xqJds3ZgQkrgj8X60jNSuT1GDn8NlZBqbpnMMzRHNdN17SqFyWyaRLp1K5fSNTXDoi/wfEYRqPH/X53T62FCX6EkcMxvIdPLkiHsyXOXqxd+I1W4hD3Dx+ik4PGNbt5+k1eSTGCKi06ZRvf5YtiVbC8YYFx96LdssBnlpXRmF+IWXr9/BUULyE8P1ytng5w/OswFgOIEai1+iQcs4thjGxcd8WiiaDAOU7nkRS71EuTg0C4cepCOJ2IPZeLVsOPMW6skLyC8tYv+epyOKpz3alkP4M24rHnyiqSSrexjNSQuXop40MiwTrQJVASqYvb6QbQi/5VsWT4ue3qvhkMny5JjsrlWCV2+nVbuHAU+soK8ynsGw9e55aiXRbjYzfVnR6mVYQEcZ6FQmpWeQte4Lvbk5HwRC1Z29j9QogwFDdV7Qlbea728rIzUrzLc0M1yaC81RP3Gb271pNcUE+Syq38vS2LBQ4aT75NYbdz/HEqqXk5y+lasc+NiYDw03c7HH45J1CVnYGRl9sHHEU8/RTa8gzxCCotKSXP87+3fkosXD12Dnu+y9VCmErkcS5yHLBdITIM4po6rqZcQ11YwXQ6NHO1rHRRt7/p/+P//n//L/8w28+oT2phgP/5SV2LEoIr7B29VB7/h5eUtnweCkhHxYLsegSVICDgf7RyRVvIYkwZ00hPH8DUGqNZFbuZHvJ5Ou5VLoCNuyuwYSVa6elOCHEGkjLSMfkc277N0pqDu5nS2UR+fnFVG/bTHGmCa1vVi1yX57L/U4yWx0cHJrCy4fzGZsi9qFw608hFkNaBukm333ae4jbvJ9dq4spyF9C5dan2ZalAGczJ782sPu5J1i1NJ/8pVXs2LcRKczcxBdmoquDvgU8GgNlcZjmS3dwAMaykqBZPEGbx9qNa6nIjkdAZPjORZrGAGMZJYEfVpsoKTMCYzReamE41GgpJp/KQr+TDIklOc+IAhjpH2ZiAaQgOXD3pcu0DfuFKCGJqhd/xmub06J8d6WKgtWlfvsGVRhXHeCV/ctCB8sIEIebuXTHARgpKwk4PAIBbd5aNq6tIDvaZYjiMHcuNiGJP1hXalMJkvgbudQSerAak19Jof8RjrHJ5BkVwAj9w+4Q3whAZaL64CvsWxq4NEpFQooBJSL97eElxll1IQ7TfLEJB2AqD75fTUYx2WpgoI6Ggcm+q0zVHHxlH0u1AXJWJZBiUILYT/uACxAZbvmaux7AUEZ5wPsuBP0iVmRP93QtnsK15SQAvVeu0u1f3NjvcuHmGLlryjGGtcFiDv0IhUKQZtS7L3G5bdgvwQskVb3Iz17bTNq4LCPy/7mgQHLpbi5dbmOqS1fx4s9eY3PaZOOR+L843MzFJgdgojzI7zRkFGcjmUnDxJJ2cbiFryWBU1Ye8IojQc+iFdmPRoCOyWdFQLw05SYBU+Pl/PplJESm18gRGW6+iKTe8uCco8mgWAoC1DUMRCWPucTtmPwVAfHUhKSe8OKpOHyHi1JCDdG2GlNJGVJIv0RLyIS6EMSQv6KQqbeVi3Rb/Ui3FaVepiPKWA8xZNY8yxO5Sug9wx9ONtN76xgf1Sex7Zl1pPs7dtQ+oiavooDJFY4C8WmZJABoF7E8O87vUnoy0zTACP220EOrpPLygFcrKUlcUkmWAjDXUdcbeqQcTZyLKBfMhTDrupkQR62MAajjZn9TRkwWNXuf5bv7v8OujctI6DrLu6+/yfH6wTDactJ9/ghn+lXkPv4sGzKmm8hWEBMnCWfMap9loDyXmjUcfwNQYao+yCv7lhJc2qQglTbthJqfUxWsptTvsAyVcRUHXtnPMqnQisqXF65Gn4Gw8uE8x6YIfSj8+jMAdR4VBX4TPUI8aZkJAGgXLWdqmMlECjP9jIeZqOLDt4BHY4+ya4D2fhEQ0KcmhjBsDTkbdpIDgIOB9j5EQNCnkhj0YTX6VD0CZsS+dsyuCvSBhyhoTegC7lwZE4sS8LjHTVBJYvE6ir84xO2u07z5d1fJKimjtKSEkqW5GGM1c3hvZTwpiQsjetdAO5Io9aQGCwc0OWzYmTOXBmjvm0FXaj2pegHMIn3tZlwV+qDXt2hNugDDUxITqwQ8uGfLBOM4zTRdvUBt4z16LSM43SJewOuSgoh7zDXNE+VAZtGFy+yzTWCkjWtXOqf+3TMoJVYs3DM7IX3yWk5zE1cv1NJ4rxfLiBO36AW8uIY9gJsxlwi4MHea8QKCIQNDUL6MQW+KhzZbyO7FZlWz0nSVLweuc/HuY+QUaQERa9MFmlnCs0UhTu0MfaNz6kcgysRi1hV/waHbXZx+8++4mlVCWWkJJSVLyTXGovF3noj8fw4oEyleV8wXh27TdfpN/u5qFiVlpZSUlLA010jslE5F5v8us8/vgJG2awSbiWQlWO4xbiYucydmSeBkBAucGL2JeNoIT+ILSIh4qYrVoMI/XvqYN7+MACESvUaDC3N7v6/fI7Rdu8JU9XqYVK8ZJ+mT8S1MecwlbgfHUxWxGhXhxlPXQDt9M7St1qcihfQ+2s0uKoIS6kKgxRRsdEi35fYVinPQSyjmEOtRpVC9bw8tPz9M8+Xf8osrcSza9yqrkkO0GJWPaDEFrk1WxUgxSGsKeM+uAnWMEvDinsYAEvxXZPgQNEZSE6DDNkTngIOgjeZEF+ciygVzIay6bma8bqdkWwrl7HlTmUBGgTSIoGQ5qypy+d3rR7nw3m9R/MUr7Midzk88WOuP8fv/+Iak6h/w3Lq0Gd4Dr0BQSj3xONx4p/0czK1mDcffxnFibrrKhdpG7vVaGHG6kUoblzRJ6R7DFSLIx6ckzuB/0fjyQtboMxBWPpzf2BSND4VXf4a4t6Awo/T9KWGqPBVqpDDjnsgz0cSHbwOPRjdFB3bf4Twxs65bF3FIH0YZow65D0ShloKj6LLjDFWVKZS+JxD+v5NO7vT6RSKloYJnX43jwqkzXL55j66Gi3Q1XOQEOnKrtrB7eyXpIQ5gmB0BZVAH5gfRYfcdAhYT3p6syBuYRVcK1LHSHjqX3RmyKFYohSC9KRQKwDtLIvB1YbSDU2+9wZlukYSCatZuysOkVSMowPXNF3xwujuCG5pFF6KTUd/Em7XlOle7Qnw2OYMM1CQpvdIEDiKjHad4640zdIsJFFSvZVOeCa1aQIGLb774gMkuirhGpak1ZYw6ZHIWZpraVqdQuTqTM598w+0Ld7AurkAvmrl5oQNN+QvkhzjobZobnVs/AlEaqHj2VeIunOLM5Zvc62rgYlcDF0+ALreKLbu3U5nuW0IUkf/PBSWGimd5Ne4Cp85c5ua9LhoudtEgdYqqLbvZXpk+sXQ3Ev8XnaO+p0BWWq5fJbSZZIA6CaXXZyWuUWkmWRkT+umFEFoPD5ww4+X8+mUkRKbXyBFxTgYBrl/tCpF3kpHUq8Sn3ojkMZe4Ped4OlvbCrV0mq/owh4yoS4EihBxWYFiitFFp5dpiSrWT6IyVvLUngb+96E7OJVpLM4J3hsZvY/MkKeEUP7p1yaBty2gVIYQhEItDYwAp92FB4L7H0WciygXzIUw49SMlxBUkui8Yli+448qeTmblp2m9esBrpxtZeMPSghOvx5sjcd56/3rqKsO8MLOIhJmuXHRd4K2oFLOuu85+po1HH8DxFE6Tr3FG2e6ERMKqF67iTyTFrVkwHzxwWmmteAQccrvwlH58sLV6DMQlp3Nc2yKyIciqT8DCBVLJv4UIs9M/M9X00QTH74FPBoDZSGGOBXg8uByzxaeBGKkD+NxhZ5hm5gVVGlmXz4zC+qkIjZ+p4iNe210NdVxvfYqX98ZoOPKYX49JPCTA5XBrxCYV0IUO14PnmnEJMTEIYnSxayijIZZdeXF7ZSml1SahSj03ZivfcKZbhHSt/PCwRpS/KzYLl6e3zYFX/HgVJLz+PM8XxrGyNNt5tonZ5C6+AIHa1L8HM2OeNm/hwLqOGkPksfpCmnPonum4lSJoXQdi05+QHPrBW6Zy1jlqOVybxIrn8kMepo/PXPtRwjUSRRt/A5FG/di62qi7notV7++w0DHFQ7/egjhJweoNCgj9P+pBBdAXjzTOYfUKZKKNvKdoo3stXXRVHed2qtfc2eggyuHf82Q8BMOVBomCsRw/V9QSzPKTmUOjz//POGYiaCWfNXhceIKLfD5f/q6YDxgvwwiMr1GhoBaCgIocx7n+edLQxTAgUQmjwWP2zMwa9teN1JIV6GZa0KdV6LRy0yXiyLW++MZpqPxG9wxAjjvcvyPl8h/fp2f3h+2j4wjTgy+puB14fAth1RrQj+EiCbOSRcMMxc8ZIRYLTHAqMdJpOkO1Biz9PD1MK7+boZcJWinPLaXBslv/vsVvKu+xwu7isM4aE/E7ZSUoo6f6dVofr1YwJrVbb7GJ2e6EUln+wsHqZlqwFyO2oCj9+WHX6OHYp5jE4TvQxHVn/NL1PHhEefRyHpqIzkmBSBi7bMFr9cXnZhb66lv6cMhqjHmmFAAorUXW9CH3dh6rYiAwpSLMeoNCiIuWx89Zt8rTFQ6skrXs/vgX/LTg1UkAs7mWjpGo73+LCgE3/s/3YwFVNGiw8qQI+S3UBtzkERppS9YOIhOM6319bT0TXOB2fDXVW8IXblt9FpFQIEp1zj/+0NwYe4wA6DLzSNo1bR3nocWaiO5JgXgwTrNPie3pZW6Gw10jfjadpmRuqgjNy94udHULqpJypL2t4jWHoaCto24GTbPbGSCbjFriuOAbi7VdnL38jVsmWuoCLXsb1rm3g9/RJeNvh6z75ULKnRZpazffZC//OlBqiTnoXbceSLyfwAFgu8die6xgEG96MA6nXOILmx9PZh9r6hR6bIoXb+bg3/5Uw5KnaK5tgOpV5H5v9qYK/mdxzrNvlA3ltY6bjR0MW4m6qQsaQ+YaKUnWOC4h80sVHiZfx6wX065diR6jQY1xlwp53is/vv1/HBbaK27QUPXiG9yIzJ5LHjcngH/tntDtO228XXubAAAIABJREFU9SKFdBO50SfUBSAavcx0uShi/eRfMNd+xNH2XPa9/AI1KeDp+IwPznT5vcLvIfpIAKH27IoOC30jADoyk0O/MzqaOBdRLnjIKPXSe40Zs/n664+IreEIb71/id6Q+ysnHxKgEAKezEmD5DfevYJ3ZcAg2d3PtU8/5mxXKN92M2pzAkoSkwO3WAT3b6FrVpe5A6m0ySUv2IDnMLEbjS8/5Bp9RuY3NkXkQxHVn/NLNPHh28CjMVAW9BRVF0qbvOubMAfIV7Q389m773G41oIoCOiLqimUPkxj4IfdZpoaBgA1i6oWTzmcIDLc9F14h1+8XycVCZOdJSGnhFwNE8stxlEIvn0tE8t23FjqP+fIp7X0RXqCjRCLPjEGGKW3x3/zvgdL03XuT/c1fRHVknCobzIHJEMRe/NnvPveYWot4ninkVZheRmfZHZb6vn8yKfUhur0FF01BunKbW5CEv8iqhbrFsDABGJ907SOocBk78bWMzTrgReRNadjcfUi1ED/zeD7RbTTcvJ9Pvi4lqHxEZsQ65tJdjAUGCzcNnqG/HsokLBoBXkCYK6noX+qzMXhu9zonO3Ugzjy1lSQCAxeOszHdW4K1haTGNEs6nz0YxJ33wXe+cX71E11HoSE/5+9N41q67oXvn9ISGKSEEjMYDC2MZONZzsYPMWzUw9NnKTxrdPcDE3Svk+zOrwfn9Vv713vve+z0ube3iQ3bZIm7hDXdjzGju16wo4n4gEMhhgMGMwkgSaEJKSj98MRBjFKMsROe35reS0D0jn//d//ae+z9z4Z5InOIy7rgiD9X5RVpYkVZ/472v0Ob/KYarkxmnO4O7m46312V1j8E5Mshoy8KYgu3S9UcP4vU09n4TQFYKCyZqjfgWCv48TuPRy6Zn4wsJfFTGOuqHCqqg3+B/gINhpuNo9xyIdAb2sFX311kxb745BxgvfLCYuXQfWrD5eR2htfc62iAcu4Zi1DPX0hYvdWDs85CNjrTrB7zyGuDQSBoPQRdNyeQPzuPcx23XTVViOG9AVMDz2hMni/pXcg2VB18iDHrnWGcMhbKP0y1uVCiPU+XO0X2Xu8k9zNmyhMyGTZM6tJk3lpO7OHvzf0+uzyW85dY2Csuj3kMB0BW/0NWgQgNp9ZSSPvmg0lzgWVCx4x4eo00qMBh5Hu4SNl3NYW6qtu0jTSIWkeC3dvGwCIysh88DYQ8GC9/QUf/eUqjPQk2WOj8eY1artHuKbLQpsVIJ6pieO9uSL4mjVYZKoo8eGH0zxs8Oe2tmMO2YBD8eUJbG+wdfCktGd0gqungqk/J5ZQ4sN3gcdjoIwMTcEG1k6PgI4zHDzfyIPaz2Wk8suj3HanUbJsKpGATFPAhrXTiaCTMwfKaOz/sGCn6fwhznSAavpa1hf0H2TkxmE1Ye5x+l7F4cRmNmF1esR9VxYTFru4jNvr7sViMtPje4rraS3jTPXgUwz7MN4up84BymlzmTJoaYEsIh59JGA3YnYJIPRw9/IFymvN9DmtmMw9vidiAk6bGZPJjG3UPV8qUgqzUAJtZ45QdruFTkMb9VcPs/cqxPs20dstJkxWx0CClWko2LAWUZUHOd9oZ0CVlXx59DbutBKWTY3sF5p4UWiMZhcCAj13L3OhvBZTn0PUhdM3f+e0YTbZCM9ZL/ZV5xkOlA30lWBv4vyhM3SgYvra9RT0H+HtdmAddh0rovrtWEwW7G7xoAF3rwWTuWfEwyD69ZI8O1+cLaw5zslb3Q9e52W7W8bhi0YAvH12LKZuuru7MVns4vW8HnotJowGI10B94UMTf5G1udEQMdp9p2+M7CKQXDSfu0QByudpJasYnr/ZiNVMrPzxSdZNcdPcqvbF2g9Nu6WHUYU0UufXWyroJnFumUphGHk3J5jVHaKduq2NHDhwAnafCc1eBxWzCYL9hEKe2XyPBYkAn1dWFS5LJkW/CSFXBuKHAJuXzsG69Pc48braaXsTDXdg+TtM96mXHQe5j5wnuD8H0CVUkiW6BwcKbtNS6eBtvqrHB5wDlEukxWHX17w0Fp2hmp/obhdXocDJdPmTvFbIhWw/8s05G9cj2gm+zh9Z+DJuOBs59qhg1Q6UylZNX1gT5pcy6x1y0gJA+O5PRyr9D0xd1touHCAE22+w0g8DqxmMUY9wFHPoY/3cOzYXj4+UIs9oB4WcNnMmLqt9Pp0IvalaYjthxIvFUH4pZmePmHMeCmMVt0IYszzl82Kyxtkv9q+4e/7DrD/i+sYA6gbZJp8Nq7PIYIOTu87zZ2BIICz/RqHDlbiTC1h1fT+E0ODiVNmejwxgcftCY2n+OWMzjMHKHtwbwF703kOiQmVtesLfG8CGKkPTJhMFuxjrleVERGvR+xyM2KX3+XyhXJqzQKCY4QcaXXiQRBjpcUuLg33uum1mDD39IXQL2P2ctCx3t1rwWS4w+m/ncY8cw3FaeJmF7m2kDWlqcjo4uKeo1S1d2Oxy0gMwiYsVvPI+hA8OKwmLDbfGSAeUf82l4Dg7sVistDj82dPr1W0jSHdEiFcZ/+XlXSKAQfL3TL2HamjjxhmrS8hTQmC0yr2qZg88fRaMFnCmL4uyDgHEHAuGI2R8kwX7ffbMFqDiVPjTDSpkiiYFgkYqe8YZfWGt5kv95+jfvAMm9vMN6f38EWjB1TTWVWa4dv2JGCtEQfJRm8k4R1fseePH/Lhh4P+7fqCmlEerwn2+zSZAV0eM7SBrRALNGe5Q/A3VfJsxNKmhuMnbzFQ2tyl7PBFxNJG1L3ZYh0hTpkw20Y+uyZUXw6mRh+VMepgsyCEkA+FCY5NBO5DQdWfFqzmkdsmeBxYTZYHtYHHV/+7BEGMe5Ye3xlQHnqtou0IodRB3wHCfv3rXz8+A3tXJzeO7+folWYcUTqSYmXYDZ1YI6exbMs2lvu9n85F543j7D96hWZHNLokNVjbMfZEkrFwHZvXFJHQPwHX18qJ371HWbf/7XQr3+SNRWb2vr2LKr+YKCP72Z+zTXWVoyfLqb5vRa7Wo1crcNsMdFq86HJXsHlzMZl+x6+7aDv/Jz483oArJoEklZU2YwRFz/yQhW2f8sFQAQgj85lf8VLhKJ7s7ubmwU/Zd8M48BQqvpCN2wq5u+sv3HL0N2QFb7yxgqRBcdTVeYPj+49ypdlBlC6JWJkdQ6eVyGnL2LJtOdMGWamr7Tx/+vA4Da4YEpJUWNuMRBQ9wwuFNfxhVwUOBqMif8dbPJtpG+iraB2i+o30RGawcN1m1hQlMKD+E/zuvTL8W69j5ZtvsMi8l7d3VeGv/mye/eVY+xtctF89wGdHKjEKIIvUoJa7cEXlUFpk4eTxBt/EgZwErYdO05CvR0ZAr2PIL8fpC5eBihMHOHq5iR6VlsT4CARrJ4beWHJXbOappVn+ju9q5+qBzzhSaURARqRGjdzlIiqnlCLLSY43+Krz8Bk8/4sd5CqtfHNqD/vKGrAjHtDj9ShIL95CqecYf75k9l04mrk/+l9syRq6+1jAVP4xvz3YiKb4Vd5cmzbGSZpj4AlWDi91e97mk4oh+lROYXa2m7u197HK1ej1ahRuG4ZOC15dLis2b6Y4c8grUoLyfzfdNw/y6b4bGAecg8KN2yi8u4u/DDgHK954gxVJ4SBYqTt7lJPl1dy3ylHr9agVbmyGTixeHbkrNrO5ONP32gsBa93ZIP0fXIYKThw4yuWmHlTaROIjBKydBnpjc1mx+SmWZg1Nih6s35xiz74yGkSFI/N6UKQXs6XUw7E/X+KBxuf+iF9tyRJ/cDZy6L8+5KoFYubu5Kdbskd9z+4Adm599O/sbhge8tO3/ZJXinwnuIYUL3/JzvzwAP0ynBnP/4IdufJR4uVLbC6MHXk/saOOPW9/wlBzUyRMQedopm3cfvWpr2E/v/3oGr1TNvOzH80jNqCk7cJQcYIDRy/T1KNCmxhPhGCl09BLbO4KNj+1lCz/IBCkPiIDitsTH0990g66d7QuCTVW2o09RGYsZN3mNRT1J9RR+gAiKdr5FtuyxzgZwdXG+T99yPEGFzEJSaisbRgjinjmpY3orrzLe8ONjjffWIR579vs8jc6ZNnP8r935ofQL+MQcKx30njgHT782vbgq4qcH/DzF6ZhPfsuv/u7we+y4t+mYgkwd2XkxXCv2ux3DXQrefPVHCree49zQ1SVsvEtXkw6x39+WI7N7y/JbPzZayyKc3Fn99t8estF1tYfklezn6PVJsJkIAiAPIGiTdvZNC8RJQLdl9/nN0eGLs8R7ewJWXXAcU6w1nH26EnKq4PIBcNwjJxnRmD8ODW2I7jun+Dd98uwF77A/3omx2+CzdVxg9N/v8jN2lZsQjhqnZ4YpRubwYC1T07ctMU8uWEFhfr+7Ovw6Xx8uac883/zr371h4fuKx/xzuEW0jb+lB8tih/njIVgclYfrSd+F5K/udqvcuCzI1SKBoxGLcfliiKntAjLyeP0lzbyjDw096oZVvVmPsOvXiocZc9uML4cWo4ejdHq4Jc26rjybij5MCrI9oxO0D4UaP0pzyAv5h7Dw8ybvJpTwXvvnRvSfylsfOtFks79Jx+W+0cZkjfys9cWEScLpQ56vHm8Bso+BGcX95s7sDhApU0iPSUO1WhaFZx03W+mw+IElYbE9FTiR/1waLhtnbS2GbE6PYQp1ehTUkmIGW12T8BlaqWp1YQzLAp9egZJo342EDz0Glto7ujBG6UnIz2ByICX1Ao4u+7T3GHBgQptUjopcSPvPRJcJlqbWjE5w4jSp5ORNMKL1kf6Xn9fOUGlSSQ9NX70vppgBKeJ1uY2zM4wIuNSSE/SPPThbePfs5vW5g7MDg/hMTpSUhNQj3pTAaepleY2M86wSOJS0knSjH3AmdveQXOzgR4hgvjUjHE/PxhnwwHe+eN9nnjjFZYmPIzNPZwc/hey0dkqzvp7wpSo9SmkJoxtW8H4v6fXSEtzBz3eKPQZ6SQE5BxubJ2ttBmtOD1hKNV6UlITGM1Ng/N/AAFndyvNHWYcnnBidCmkJqjHtk23nY7mZgw9AhHxqWQEYMtu230a27wkZqUNe13FoyQ4v5zIeBlgvwp2aj//T/50UyD/2Z/yTH6QSVtw0t3aTIfZgSc8Bl1KKgnq0f0j+DgVeNyeeAbu7USFJjGd1PgJvrfgwtTaRKvJSViUnvSMpFF9L7jrBtcv418umFgf7LW//dw1MGhzkbX9l/yoQEWvoYV7HVYElZbkjBS0ymCECDLOhZALHglCD98c+G923dSw+vV/pSRxBAk9DkydbXR29+AUZCgjNehTkoiPnLjWCL13OfLfH3M1YjmvvbKS1CBmvoPPWcEK58TU2kyb2UlYZBwp6UloJtKAg/TliWpvqHXw+BeeoNgUlA8FX39OLCHUQY8pj+VAWUJCIljs1O5+h909a/npzrkBPiGTkPhnow/DtX18uL+K8LnP8fJTeQGcPCsh8Y/A0IHyP8iRtJOA4LjH2U8+5qxzPs+/uI6ch9qbHwIuA1/v/ZADTRlsfvkZ5ukeu+kECYl/GqRyWkLiO4mD+iOfcqDaigB4um5RVhvGzOKZD3GAnYTEPzhCHz1mgSnLd/CKNEiWkJAYAVlEBst2vsLG1HoO7L055LCoycbF/XOfcco+m+dekwbJEhKPGumJsoTEdxI7lX/4d/5myGL+vCR6b1/hm6jVvOb33k4JCQkJiX9uBKzVh9lT1orVcB+jE+TxKSSrE1m0dTNFcdJs0eh46LU4UWiivsUl4gJOq52w6BiCWgkvISExKUgltYTEdxIFyQtKmVfTjrmti8gZG9hZOk8aJEtISEhI+KGMzyZ/VgICswd+KYsmIeIxeS/TY4ucSM23vURdhkod8y3fU0JCYjSkJ8oSEhISEhISEhISEhISEoOQFnZISEhISEhISEhISEhISAxCGihLSEhISEhISEhISEhISAxCGihLSEhISEhISEhISEhISAxCGihLSEhISEhISEhISEhISAxCGihLSEhISEhISEhISEhISAxCGihLSEhISEhISEhISEhISAxCGihLSEhISEhISEhISEhISAxCGihLSEhISEhISEhISEhISAxCGihLSEhISEhISEhISEhISAwi/FEL8J3AZaTyzFHOXq+no8dDWHgk2qQsitZ8j2VZUdJsg8S3hIO6vb/lk5t23886lv34dValKEK7Wt1efvvJTR5cbdmPeX1VCqFd7TuAYKO5qpY2hzDsT2GycBQR0Wj1ySTr1SgDdGqht5OGmhrqWoxY7C7ClNFo9Glkz8whSx/53YkNvbfZ9X/+wjd9vp9TNvCzVxcT951pwHcHj/UuX19vR1Mwj5nxykn7zreJ0H2Z//nNEVp9P8unPssvXswnauJuwOX/+Q1HBm7As794kfwAbjC6bB6sd7/meruGgnkzeQzVOolMbC75h0Kw03r7Ni324XliLDzm25w+d4de38//8Pn0HwWPlbtfX6ddU8C8mfH8U4WBSUOg+/L/8JuBgM3UZ3/Bi4EE7G+VwOSUBsrj0kv9sY/5W7mDrCd38LP5Kcg6y9n36Ulut6+lNOtx6/jvAgJOQx01zb0ok6aTkyJNNgSGksz1r/PWciNXdn3M+S4B78NcLXM9r7+1HOOVXXx8vgvhYS72XcDTQ9PNy1zr6sVkMNMHKLV6YhVheAU3TpsJq9MLynimzlpISelCpmlHCZGCjYbzhzl4uhpjuI7MqenoNVF4HWYar3xN2XEvurwVPLVpKVNjvgPWrZrG1p++RW/bWT7+89dYvfBQxiUxCg4avvwrhyscyO+q+fnOAqIFJ4a6Gpp7lSRNzyElaqi9jPCdRyL76Mhii3jhrRx6m47wwd5a3N4JNh5ZLEUvvEVObxNHPthLrdsbsHmOKpujgS//epgKh5y76p+zs+Bx0+pkMrG55B8Kj4XqEwc4260gQiUf+L23D4fTA4BMGeE3mSq4HLii5vH8T/4vVNf/SfLpd4Lxa01Hw5f89XAFDvld1D/fyT9VGJg0ZMQWvcBbOb00HfmAvbVuJjolTAyBySkNlMfD3sBXNy0QUUjpwmziIoDMhaxebuKbBCVhj1q+7yReeu6cYO/RdjSLXyY7JUqaxQsIGeFRGrRKB6oJGHvJwqPQaJU4JuJi3wUUSRS/8DrFznr2vf1HbvRGU7j1VTZnqXwfEHAY6rl+4e+cKj/GJ9euseDpH7C+IM4/ULq7ubH/I/ZVWNDP+z4/WV9Igl/V1EvrtSP85eBJPr7fwbYXt1AU/5iHWpmC6FgtCqtKmrSaVBQk5M8io7UZbWEyKgBvD3dO7OVou4bFL2eTEjU0Go7wnccNmQq1VoXCoJgk+5GhUmtRKQwogr3BaLIpEsiflUFrs5bC5MdSq5PIxOaSfzxkxJX8K28+OeiJsO0GH/zHPppJZt0br7I4rn8Q7cZQ9h6/uxROdGwsKkmhjxHj15qKhHxmZbTSrC3kny4MTCIylRqtSoEh6ID97RKInI959fbocdu7MPcBMVoiH0wuqkgveYr0RyiXhITERCMjQj+dJZuzmJn1Ob/fW8nV3Z8gi3yF9dn9M9EuWsv+yucVZhTZm9mxaTZx8qGXiSRl/hb+xdXNfx+r4PPdepJeWk6yNBskgRxN3iZezpvs70iMi1xD3qaXkdQqIfHPi1yTxyYpuEqMweM3UHbb6TYYsThBqY4nQRtN+GRPSLhtGNqN9HhVaOL1xEUNUovgQdypEjby02OhD7vFRLfFjqBUo9PHEzWmVgWcZgMGsxNZVCxabQyRYzTQ09uNwWjBGRaJVq9HE+ps5bepV8GFxdCByaVAm5iAJtANn8MvRJ/dgqnbgl1QotbpiR9buZOPp9enxzAitXr0mnGewE2yffR/x2Ux0GFyodAmkqBRPtRTHcFlwdBhwqXQkpigGX2/blBtc2PvNmAUDZD4BC3RoRhg0PoMhXDiCjex7W4Dn1zr4vLBMma/sZZ0JQimSo6da8NLLPNXFQ4fJA+6RsLcVcw+90eut5ZxvHouO4o0QfRLqLYfjC246TF0YLQLRMYlolNP5EjeQ293B50WDyptAgmxgT2pdtsMtBt78Ko0xOvjRu7bYH3Q76vddHRa8Ki0JCTEjv00TXBiMnRicYQRodGj145zn0eRu0KRc/BXJ8XXg0dwmjB0WnCERaDR69EGnOdCs7NAcPcY6DDaESLjSNQFfm5BaHjo9cXHsEgter1mQp70BmXvQKi5ZFy/neRcMWF1EoBcy6xN28lUxzFqePdDhjpvA9uTotCFg23IXwP2MXio2ObPt6lDAaelk06Tmwh9EvrBHevpxdRpwOqNRp8YP+hh09BLhBhfJqzWHPUGAddjbrtPfyhRxyegjQ4Pqe+EPjsWUzcWu4BSrUMfHxXYQG2sccwDJjbOCE4zBoMZpyyKWK2WmMgg2xxk7gpaxxPkT4/PQNlt4vapAxz5qh6LPBpNVBhOsw1nhJ7svHksW72ErGgZ7s4LfPjBCVr7AOToi3/EK6vTUALOxiO8/8lVugWACGY8+1N+kDuwh9h59yDv7rqGWQAIJ2n5D9kUcZF9X97C6On/VAobf/Yqi6IaOfjuLq6Z3OJAufsc7/8/5wkD5Lol/HDHTO6dPkX5rQa63BGoNQrcViu9XjVZi9fx1KpC9H51pxtzbRlffHme2wYPkeoY5E4LNpcMTXoesxeUsHR2CpGyfnXUcPbIMS7UduGNUhMl2LA6FOhzl7JhUwnT1IGF8ID0Gmnh6sfvcuSea9AXI5n53E95bmYkOOrY+7s/UWnzLd6XJ1Dy0sus0rWIOhIVSnjScn64QcmFz49T3dV/EIaa6U9u5+mlU4iUgWAq5+N3D9PkO1DJcun3/NsVX6OVGWz88YssiHXQ+NWXnCq/RUOXmwi1BoXbirXXizprMeueWkWhXomn6xIfvXeMlr4BqcOTlvGv/7qMyMo/8t8Hm+hvUXhCKS+9spKQzypxm6g5e4RjF2rp8kahjhKwWR0o9Lks3bCJkmlqv6Qq2Bv56svJs49+vK5Wvvrr5xyv7uKBxqc/yfanlzJl6IfHw+ui9au/8vnxaga6bzpPbn+apVMGDqYKrm1uTLdPceDIV9Rb5ERroghzmrE5I9Bn5zFv2WqWZEWPG7yC1+dDIoskc8kCdNdOY+z+mktNpaRPV2K6fYUGD6CeQX7CODeMSKFgagTXbzmov/INllnz0Y7f0IBsH5zcPfguu66ZxX4PT2L5DzegvBCILQjYm77i0P5TVBndvt+FEZuzii2LgjvABsFE+cfvcrg/dkTM4OkdhdQfOkh560A8ickqZtPWVeRpw0eRfRMRF/fx5S0jA6F4Iz97ddHAgWIB+6CAqfxj3j18z+f/Ecx4egeF9Yc4WN76ICYQk0Xxpq2sytMOWVpvprbsCMfO12D0RKKO9tJjdSDX57J03UZKZmiGfD6w3IXz7pB4uYxn593lb180IYZDC5d+/28MhMON/Ph5HWXv+8fYl19eTlJ4cHKOlPs2KC9MsK8Hj9tcS9mRY5yvMeKJVBPt7cHqkKPPXcq6jSXM0Ixeoni6Kzj4yVh2NjrOuwf5Hz99vMzLy5MIBwR7E18d2s+pKiMPvCM2h1VbluA69mfOd/r2qcbNY3NRK4dPtyKWI3qKf/QKq9NE/2w88j6fXO0WbTxiBs/+9AfkDjvSxI2p5ixHjl2gtstLlDoKwWbFodCTu3QDm0qmMX6qf0h79zF+Lgnebyc7V0xYnTQYWQQJ0/JICPwLqHTZ5OnENjwYKAeYT30NCaq+GJ3J1OHI/R/51R6OVvnsnAjSlmzjuTXTCas/zd7957jbr5DITEq3b2dldkzw8WVY7JyIWvN5dGXv+7fn5ZdZLgbXgOsxt+k2pw4c4at6C/JoDVFhTsw2JxH6bPLmLWP1kiyiA5igsjd+xZenyrnV0IU7Qo1G4cZq7cWrzmLxuqdYVagXxznBjGMGkucExJlBNmOupeyLLzl/24AnUk2M3InF5kKmSSdv9gJKls4mZaz6M8gcG7SOH8KfvD3X+fDfTjB4OCRfsWLFrwNXz2ThpuPCJ3x0po3Uta/w+vPrKS0uZukT+cR2lnPxZhsxsxaQrZYjU2rJmJ5HtqqBiqYe5ClzWTQjFjkgi9STNXMmCaZb1Ha5UOctZU7iwMhIFpVEdl4B2bI6Kpt7EAQDNY3hzF6zlpVLCkjqa6SuU8H0JfNIj4omcepM8qfKqa+6j1M9l++/sIni+XOZWzgVnbuGI4eu452zndde+j5PlhRTsnQ+mfIGLpRdoKong6IZ8SjCADyYbuzjg91XaI1ZyPOvvMjWVSUUL32C/DgLFZcr+KY9isIF2ajl4DHdZN8Hu7naHsuSH7zKzs0rKSkpZrbezI2zX3Gpppcps6YTpxhvh3SAetWo0KRNY2pMGxX1FgTdEzz3/BpmpcQSpQgDWRRJU2eQ6v6GKvssnv7BavIS1agUPh1lyai71YJd8GCo60C7eAPrli8gNxna6pporm/AmzOPaRo5YeGxpE/LJTuikcp7vUQVbmHH90qYP3cuc4vySI+PQent5sbBg1z3zmH7ay/x/SdLKC5ZyvxMOQ0XyrhQ1UNG0Qx0UXGkT88hI6yRqhY7Xs0ctmwrJkMTgSo2lYxYC7V1XuY+/Rzr5mejj1EhDxP1YrfY8SqUvp/HwWPi5r4P2H21ndglP+DVnZtZWVJC8Ww95htn+epSDb1TZjE9TvFg1YGn+wYHD06OfSD00Hj1CnftMrzGOto1C1m3tpQFOYl42+u511JPgzeHedM0ASRXgZ7Gq1y5a0fmNVLXrmHhurWULsgh0dtO/b0W6hu85MybhkYefNvcHRf45KMztKWu5ZXXn2d9abHYrthOyi/epC1mFguyxy8CgtPnuBfj9sUbtLuVpMxZzMxRimqZIoyO69dpdblxRucxf7qCxr+foKqZ9XKXAAAgAElEQVTbS1jyYlbNT0Y15v1khFmruHTHBg4Z2QsL0Y03UeMJzPbjFXKiEqcyMz8LWd0tWuwCHkMdHdrFbFi3nAWi89HUPNwW+trP8+kfTlDXo6Zgwwv8y7ObWf1EHrGGy3xxqQ27vRchZgZL5qcPm5gZRlg4senTyMtLovtWLV1OB12NrUTMf5oXfNdN9NynorKKits9pM/2yZ6UTV5BNrK6Spp7BARDDY3hs1mzdiVLCpLoa6yjUzGdJfN8MgTlg2GEx6YzLS+PpO5b1HY5cXQ10hoxn6dfeJbNq58gL9HD/YpKqipu05M+mxnxPt/1mKj4/Pd8drkV9aLnefXFrawqKaG4KBlH1VnKvqqgS5fPzKQIX7EXeO5CFuUfLxUZLFpVSlF+NhGNldzrjaJwyw6+VzKfuXPnUpSXTrxGS/KQ78xfmI2a4OSURSUydWY+WbI6brXYETwG6jq0LN6wjuULckmmjbqm5ofydQB3VxUXb3bi0RZQPCdxzBN/PaYKPv/9Z1xuVbPo+Vd5cesqSkqKKUp2UHW2jK8qutDlzyQpYpARuruouniTzr4+use1M3/nHCxbaXEBMwbpQ5Exn4XZauR97Zz/9A+cqOtBXbCBF/7FZy+xBi5/cZEWiw27J57i537A2vkzSM2Ywcy8bFQNFTT1yEmZu4gZsXJARqQ+i5kzEzDdqqXLpSZv6RwS/RTiwXRzHx/svkp77BJ+8OpONq8soaR4NnrzDc5+dYma3inMmh43Tlx7CHsPKpfIgvbbycwVE1cnBYirna8v3MZCDDOWzCd9xOAYfD4Npb4YjcnV4fD+93bfpVO7mPVrllI0NQZrQz33GmrpVApUld0jZdkGniyeRbqii/rGZhrqHGTNm0mcL+UGbB/yqEmoNTVokwfnUAUZ8xeSrSbweszbwYVPPuJMWyprX3md59eXUly8lCfyY+ksv8jNthhm9ddtY+Kh+8ZBDl73Mmf7a7z0/ScpKS5h6fxM5A0XKLtQRU9GETPiFciDGceIyXOC4ky/zdxg3we7udIaw8LnXxHjdvFSnsiPw1JxmYpv2okq9OU83HRVXeRmpwdtQbE4Hgs2x7qD1HFI/jQgZ9zsdWxakkNMWwX1FgHdE889Jue2eMzcqWjFSxJzZqXSnxdlqkTmrC4lZbCRKdQkpqWSqBmegmWqOJLTUtCNsr5DptKSlJKMLkb0Uvt9OSU7trNyTg5ZWbksfHIFuak6ouRhIFMRl5xGaoJaTPbhMSSkppOenk5ashalIor41DmsX5038FqJcDVTl26kRAeW62eosYkzWYK1mi+O3MKGjtJtq8mNU/QLROLsdWwsiBgQUrBRc/Qwt2ygK93KypxY38yKkvjCdTw1Nxq6rnD4UgeDHqQ+pF7DiUlMI3t+CTkqwHCHDlUCuv5EIIsgPh7u1dtJWbyE3IwkcYnLUB3ZO4he+RybFueSlZFF7uINPDUvBujmdo1RlDc8moRB/RcerSclXdRreloiYtfIiYpPZc761eQNKBf11KVsFJXLmRobQngMiWmZzFr7DCuSw8B8jbLbFrwykGGm4vxd4lY8w5MFU0hL8i15Eux8s/8d/t//8x/8f3/6mu4HM3CjIWCrOcphsUPYujKHWF+QV8YXsu6puUTTxZXDl+gY3CHySbIPP+x0RK3k+e89QUF2FtkFxWz63jxigO7bNRjHNZAhV+uIYuXz3+OJgmyysgso3vQ9xO67Tc3giwXcNg/mOxW0eiFpzixSBwyQxDmrKU0JYgozCH1OGOEx6H0nYNo6rLjdPRgtosEoo6MCWFYrJ0LtC/YuMyZnIPIFaPvIUMUlk5aagFp0PjqiV/LcpsXkZmWQlbuYDU+NYAuCmcqjp2j2gPaJ7WxZnEmsUkZ4VDKFq59mZaxl/LjirySiE9JIT+lfVteDM3cL31ucibb/umu2szFLDqZyjlxow4UMlTaJlGSdz9/t3JeXsGP7SubkZJGVu5AnV+SSqovyTWQF74Ph0QmkpacQ78sFPc5ctnxvMZlaJbLwKJIL17B9YxZyTJQfuUCba9B9Kq2gK2Xbk7n0z6Eo4nJ5clspOqxUHj42YGvB5K6h8RKQRyeQlpqIGA7DidaniLEwPZ20xBjCR/hOKHKKuTGVBNFYsHdEs/K5TSzOzSIjK5fFG556SF8PEl+eE5uwjSdz+59yKojLfZJtpTqwVnL4WA0jXz4QOxudsCH66NerufIop0TnYPuWxWTG9tvLap5eGYulT5RRk5RKWrKWaE3ioP4bjM8/U3SjLjcVbDUcPeyL+1tXkjNg1BSuewox1R/mUsf4HhmavQ8mkFwSrN8yebliIuukSSKwfBpifTEik63D4f3fHrmC7RsWkTs1ixlzVrHlyTTCcHHnxNdoNz7L2vkzycqayYJ1WynVA7ZaKtudAzIEah+TUmsOzaE+tQRRj3nMd6gQFc6s1P7JUxmqxDmsLk0JcBVAvyriSZ2zntV5A6+oCldPZenGEnRYuH5GjIVBjWOY2DiDYKX6iyM+m9nG6tw4X16SoUqczbqNBYxWrfouEHTuCk7HE+BPsmgS07KZX5KDOBzqeEwGyoQhCwNo5fKVu9gGDV5kcQt46VevsyJp4t9GFz51EfmDNhmGx8/n+de2M0szvlrCdQvZ8dpWZg59lUd4DAlaOQgGGo19gIDtzmW+cQLxBeTph7RDFkXmklKWFKUTLQPBdodLtU5AR2GefsiMfAQpuekoAGNFNQ9WTY5KcHqVRWezpDAG6ODq4CVbgL3hIpWOKSwujB99vb4yiznZ6kFGpUKfGU8Y0GOwMa64/YTrWLjjNbbOHHqUfzgxCVrkCBgajQMJUJlKydNrmSKHjnN/48SdDm4d2U9V3JNseyLZ/5RDoYf2FjMAzrYWLOMJJdi4c6kWJ6ArzGNo90Wk5JIudgjVgzpksuzDHyVZc7NRD/q9SjeFOIAeA7aAFe67WtZcsv0vxhTxYhhsobQNwkQDpPXyFe76GyALXvoVr69ICug9k8Hcc8IIkz8YDAt9HvB66PM1QaaQBxQ8w+T9e/w89LkDeD9CsLb/ACVZc4bYgj6TeNH5HtiCYKvj6wYPoKWgMNHfN2Qaps1Nf8ikEEfh0OvKY5kxJ40woKuigo5hRXo4UxflD9rvHU78/Od5bfssNDJC9kE/qQoLSfQXitgZc0gThaKiwwWCjW8u1eIA4guG30ehy6MgHnDUcLnO9uDsim89d3lDkdMfZdacIb6uJ1M0lpB9PRgE2zdcqnUA8RQMy3MKdHkFiE24TN2II+VQ7Gxcoaj7ugEPoC0Yai8yNNPmkj5hFZOA7c4lxFRfODzuR6SQKxo1FdXGwHOnj4Ds3Y9Qcsk4fsvk5YqJrZMmh4Dy6QTEtsF8uzpUkFk0lYG3H8qITkolBiBqGrPTIwc+Gq4hNSlCbLt1QK6Q48tE1ZrDCLIeC5OJTyVbL3Plrm1g+wEy4ha8xK9eX0Fg4T8c3cIdvLZ1JsNVkYCoisYRH36MPY6Z2Dgj2O5wWVTOCHFbRlTmEkqXFJE+2lrzUHJsMDqeMH+SEZ29BHE4dPUx2aMsjyX3iVxO77tNy5mP+Y/yNPIK8snLy2PmlHhUESHsMwmA6ITYh1KAq6uW8ovXqLnXganHhVsQXz7aZ/MAbhx9AtCHsdGAAMg0icSO4DQRGUtZnyH+39nViMFXF/Tcvc7VZv/Perod4n9M9+hyQfJYDQharyrSFs5DV34W441LNCzPICcKECzUXrwDM54mZ6xJhCgd6iHyyJUq5IDHPe6jW39cXdSWX+RazT06TD243OJ7Hr19oqO4HX1+BWB4wkK2bqrj3QN3uPLp+1yNnMbWH89HP1Q/4Trmb91Mb3k70QUlpI/3OoC+LhoHOoTrwzsEsUdM3BvSIZNhH/5EoRuq8HAVEeGAx02QGidKpx7iD+GoxIsxtPsCa5uc2NwnyD29j9stZ/j4P8pJyysgPy+PvJlTiFdFBDXjGtg9JxDBhd2XmBRRSsJkSiJ9xafb2TfiAGTYJfqcvn5QEKUMcAlgkLYvMoItyJWoROd7YAt9Xc10eQGZlhTt8M2lSo2OaO5iDUzSEYgZ8pQOQEZEfCIxNGE1N2N0QrrfraNJiB0jkD2EDz6Qyu+JrE+qiHgSY6DJaqbZ6IQEI42dAiBDkxg7fAJHoSFRI4Mugc7GLvqKNKgeRe5yhSDnkI8M93U5StFYQvT14OgzNiI2QUPiCEFPoUlEbEInjV19FGmGtiAUOxtPqC6aRedAm6Id/spCpQZdNNwN3TkG34wuX9yHHu5ev4q/VXsYSPVduEgOqlYJyN79lBNKLhnHb31MRq7om8g6aZIIKJ9OQGwb4NvWYRS6oWuKw5XiPaJ0xPj9KQyFUg54cQ8JMCHFl4msNf0Ish6LzeWJ3NPsu93CmY//g/K0PAry88jLm8mUeBXBhX8XXbXlXLxWw70OEz0ut/gubm+fOAHrdjCSKsYex0xsnOkz+mxmlLhNRAZLRy5W+y8QfO4KRscT6U+qNBbO01F+1viYDJSRoy16mh9HXuTUuStU3muh+lIL1ZeOg3oKC1ZuZPWcZCImbDZXRCaXhfgeZIHeplP88aNztAoxTF24hGWZOqIUMsLo4/7pPZxpHfis01dty5Xj7zERXL2+p0UW6m6U0zLCF/QpKaCIQ+4VDW50gterImEOi1LP8cX921z8xsL0Ig1CVyUXmyIofDGLYWeRDCZM7nu6Mvh34mnhwbxsXOht4tQfP+Jcq0DM1IUsWZaJLkqBLAz67p9mz4ByBxFO/Jzvsan6v9j3jQt50nQyRtwYIiMydR5rUgMVxkWvb7BkqbtB+cgdQgoK4uReMcBOon34E4Z8uMIJC1bh/d8cwR/CxIsxcLVg2gZybRFP/ziSi6fOcaXyHi3Vl2ipvsRx1ExZsJKNq+eQPK5jB3fPCaOvm1aL+N/Y9DgU8mgS9RHQ7qDPbMIhMM4eXjc2g03UXUwy8QEcLxma7UOgtiD09YqzxnLlyO+jlT3ke3BlcuQjXCBMEeFLNi7sfR7wK9lkI8g+iJB80E8o5CMLJQ4EAJe9D4/g9E2MyFGOuFkrDIVKjngiuctXfDyC3BWSnEM+MQm+HlwT7L4DsJQj74sLU4iTPEIfdtcILQjJzsYTqo9e0TlQjuwcwb/DefSb4Rowam6Ut4wQ+/WIqV7OuKl+iJwB2TuDtRNKLhnHbycxV0xsnTQ5BORjDx3b/Pl2dThG/8tGqgUH/ht8nTT0WhNTaw4nyHpMrqXo6R8TefEU565Ucq+lmkst1YjhfwErN65mTnLE+NYn9NJ06o98dK4VIWYqC5csI1MXhUJM/Jzec4bRVDH2OGZi48y4cXs8Qsldweh4Qv1JQcKcRaSe++JxGSgDKIjLKeX7OaVstrZQW3GDa+Vf842xiasH/oBZ9ibPz9EOS3vDncKLx/NQnjI+7i6uf3GOVgGSV7/IjpKEQYq0I1wZrHoZyshwoA9Pn5vxJJP5Er1LnsGanTvJH3NkGghB6lWuJf+JaZzYc4f6i7foKpiP89oVOuLmsS3123gbu5uu619wTlQuL+4oIWGQldqFK6MatsfWRM19N0oZuBqO8vnlLHY+kfBwRi7zFRcuORlrdrIzkA6ZRPt45ATVNhFFXA6l38+hdLOVltoKblwr5+tvjDRdPcAfzDLefH4O2rHq2RDuORHY71XQ6ALQkT9dSzhyUgoyUd6qwdV9l3bHYuLGMgehl7bGbgAisnJJHNd9Qrf9QJEpIgkHnB4XfSMZm+AO6En5qAiCOAs+BG+f07esS0FEsBk2FB/0FwphZKFw+lZfKSIU4oqBcKBvtGXyXtwu8WlFeMTgCYXQclfIhCxnkEyi38mUoh32efoYuQluxCaEEzHS6HSS7CxSdA5cIzsH7jGdwzs8fns9jFyOyFCIRo08Yw07d+aPPQkdFAHa+4TdbxQmMVdMfJ30iHjo2Dac74wOH1FeH5sQ6jFFHDml3yendDPWlloqblyj/OtvMDZd5cAfzMjefJ45YxY44O66zhfnWhFIZvWLOyjxT/yEroqJjTPjxu3xLxBa7gpUxxPsT3JtPk9MO/GY7FEW+rB2ttPlO8Y9XJ1GfvFGdvzkLXYsiAVc3LnWRO+DL4Qh820edDv6/I1ZcGIxO5lU+rpo6gJQMyVz+LIHr18yVRCfoSMMECydWIctixdwddVTVVVHp1NAET8FXRjgsfjtFRvAjam+gpvVLfSMV9EGrVcAGerpi8mNBFovc625gSvXraQuLhq+jHlS6KNLVC7qKZkMW9nlHaXR7i6u7T9M45StvPpiCQl4aPpyD+dagt2oNgRFPFPEDsEyyt4Xt6meipvVtPR3yCTaxyMnqLYJ9Fk7ae9y+F6/oCYtv5iNO37CWzsWEAu47lyjqZexCeqeE4SrlSt/v0UvoJq5nPmJCkBG9LRiijSAs56v661jDio95hq+bhIAHQuLM4kc47MiIdp+ECji0sR9h4KFdvPwDU9uWxfjdcfY9IwQtwScpk56ANSp6IN9cWMoPjhUqhG+JzhNdIpCkapXIVPEk6ELAwQsHdbh93Fb6bAIQBi6KfHisrGQYuxDEoqcoTCJfqeIzxDznGChY3jQw23tQGyCjinxI7VgMuwsjjTRObC0m4efA+C20TVSR4bJfGcZuHEMGWALTgsjlyMK4qeIcd9jGWUPsNtEfcVNqlt6gp68Csjeg7xm0ExirpjQOulRMgGxbYDvmA4fRV4fl+DqMaHPSmd7l+/1fuGo0/Ip3riDn7y1AzH83+HauAUO9HU1IapiCpnDE/9DTF5PbJwZHLc7R4jbgquL+qoq6jpHGYOFkLuC0vGE+hMgUzN9ce5jMlB2d3Jx1/vsrrD4d5Qshoy8KUTQv2TlwR9QaWJRAr0d7X4HqHhMtdxom2R5ZSqiFABOzEMtz22l3Tx4j4QMTc5CshWAsYrariGfF+zc+fIvfHbgGiZBhkw9nYXTFICBypqu4cnOXseJ3Xs4dM08/mxX0Hr1EZnJ4qJYoJvLBw5R4Z7KktzYiXsiQhgy39Iwb//Mt9tE1cmDHLvWhVxULk7zUEN3Y203j7BfykX7xb0c78xl86ZCEjKX8czqNGTeNs7s+TsNvf4O4bY08PWFy9w2jLws0Q+ZmukLp6EADJU1DO0+BDt1J3az59A1zP0dMon28cgJqm1uOi/u4v3dFWLRO3ARYjLymCIa4PhPNoK658MjuDr4ev+fONXmhdi5bN1U8OBwGlQZLH9qHrG4qD32d2qto1iQx8St4ydpFEBfvJni5EA2S8pQBW37wSGLmcbcTBnQRVW1wX8wINhouNn8EAehABipuj3kUBDBRv2NFgQgNn8WScG+dzcUHxwqVdXtIQfSCNjqb9AiCsWsJCXINOQszBYPsKkafh93Vy3VRkAxjQXTfQfJhBpjBxMm8y0j9jIQDqs4efAY1zpHOL0lFDlDYRL9TqbJYaEY9KgalufcdNVWIzZhAdPVI7VgMuwshmlzM5EBXVXVGPydA1vDTZpHcg6ZCk2sEuilo33wYTMeTLU3GLkckaGevhAx1VdSM9yosdedYPeeQ1wbzajHICB7n2wmMVeEXCcJvbRWfMVXN1uwPw4D6AmIbQN8SzqcKL6VvD5Wrdk5wqGYwdVj7s6L7Hp/NxX+CkcWk0GeqHDGC/8AMlWUOKHpNA8bzLqt7YSuiomNM35xu3aozQjY73zJXz47wDXTKM4VQu4KSscT6k8ikZmLH5OBMgAeWsvOUN09qGV9Rm6X1+FAybS5U/yWDKhSCslSAm1nOFJ2m5ZOA231Vzm89yrE+w4NsFswmaw4+o3M7cBqMtPjezInOG2YTSbMthEGTIIbu8WEuccp/k1wYjObMJks2OWJzM4XnxbUHD/JrW6fu3ls3C07zEUjgJc+uwWTuQdPTAEb1k4ngg7OHDxP44MI7cJY+SVHb7tJK1nG1EhApiF/43pyIqDj9D5O3xmYdRGc7Vw7dJBKZyolq6YPOm1w4vQqoiR53gISgb4uC6rcJUwbsVhx47AO15HV6RH3lllMWOzi8hWvuxeLyUxPn7grICJeTyRgN5pxCSD03OXyhXJqzeEkz84XZz9rjnPyVrcvmHmw3S3jsKhcvH12LCYjxq4uDHdO87fTZmauKSZNBSBHW7iG0lQZdF1kz9Eq2rst2PsE8HRz7bOPOfDlEf6y6wyt4z5wlqHJ38h6sUPYd/rOwCyj4KT92iEOVjpJLVnF9P4OUSVPmn24HVZM5h5EExZw2syYrE48COL1LHZxSYzXTa/FhLlnjBNpR/QHK2L32bGYLNjFi+HuFWXtUwTTNlEWT2sZZ6q7BwXVPoy3y6lzgHLaXKaMtzomSH2OfraQqBOT2Y7LK+rP1WPBZDLR3dVJa+Ntyk/v5+N3fseBW1aipy5jx8tPkafx308bk7OBnVuLiLde468f7uH8N0YGHvYL9Hbc5vRf/8DeKicJC7bzL6syx38fsdjQIGzfjMVqDt4W5FpmrVtGShgYz+3hWGWn+H23hYYLBzjR5jvwxePAahb9NzgiEK7v58tB171bto8jdX0QM4v1JWkoGcWOTWZsI+1HDcUHh0olXGf/l5W+VRluLHfL2Hekjj5imLW+hDSl7z4FG1g7PQI6z3CgrPFBMS3Ymzh/6AwdqJi+dj0FfocaBhhjR8kpFoecOH0kYMdodiEg0HP3MhfKazF7PCN8xwJT17AmGDkn29e7u+nuNmGxiwfNeT29WEy+XDASMg0FG9YiNuEAZY12Xw4WsDed59CZDlBNZ+36/kkqAafVhMli9/l3YHbWbyNWk79sZkMb9zu6h+ijB2XuGpaJzsGeY4PspeECB060jXI4j4qUwizEcuQIZbdb6DS0UX/1MAPliNj3JqvjwUBapsln4/ocIujg9L7T3Bkwapzt1zh0sBJnagmrpscEXagFYu+h5JKg/DaouB1krgixTnLUH+LjPcc4tvdjDtTaA1Om4MJmNtFt7fX1nQeH1YzJZMOv2aH4mPDwsW0ok6nDUW1G8OCwmrD019IeMbbZXAKCuxeLyUKPT1meXquol6BqCQtW80TXmh48vpphcHssTGXNmgDrdVHhlJ2pxj/836ZcVDhzxy1wQJU8G1EVNRw/eYsBVdyl7PBFRFWI7TRbrIGPY5jgODMobnecOcj5B3EbXMZKvjx6G3daCcumRiI4reJ4qU8AvHh6LZhMPahyQ8ixAes4eH8aWU7RbwFQJhP261//+tFvixSs1J09ysnyau5b5aj1etQKNzZDJxavjtwVm9lcnDnk2HQ33TcP8um+GxgfPMmLp3DjNgrv7uIvt3xHuaFjxRtvsCIpnL7WE/zuvTK6h9w+LPMZfvVSof+A0VHHnrc/ocIx5MNEUrTzLbalm7h64DOOVBoRkBGpUSN3uYjKKaXIcpLjDT4th8/g+V/sIDfSReeN4+w/eoVmRxS6pFhkdgOd1kimLdvCtuXT/AK6y1DBiQNHudzUg0qbSHyEgLXTQG9sLis2P8XSrACMOiS99n/XRPnHv+Vgo4biV99kbdoIM9B9rZz43XuUDVGobuWbvLHIzN63d1HltwJDRvazvxT3DbjaOP+nDzne4CImIQmVtQ1jRBHPvLSZwlgP7VcP8NmRSowCyCI1qOUuXFE5lBZZOHm8wZew5GgiPFge9JGCnB/8nBemWTn77u/4u2HwvX1/m9HHjT+9w747fZD8JG++UkpiIEvKXQYqThzg6OUmelRaEuMjEKydGHpjyV2xmaeWZvlPXLjaJ8E++mg98TveG65w3nxjEea9b7PLX+HIsp/lf+/MH7FJI/uDjpVvvsEi817e3lWFf/dl8+wvd5IfHmjbprPl++ncKSun+r4VuVqPXq3AbTPQafGiy13B5s3FZI5ogEP1H6w+R7rGPY6883suj3pqbThR2gSSp0wjf858ZmfHDT/59gECjrZblJ06y5WaTpzyCGJilOC0YXMIRCTmsXj5KorzEghuBagrYNvPyIvhXrXZ/+sB2YIH6zen2LOvjAY74sEoXg+K9GK2lHo49udL9F81eu6P+NWWrPHFdtxh99ufcsuVxdYf5lGz/yjVpjBkCAiAPKGITds3MS9RCYxix4SR+cyveKlwlMIiWB/EwZ3db/PpLRdZW39IXs1+jlabCJOBIApF0abtbJo35DVDrk5uHN/P0SvNOKJ1JKnB2m6kJzKDhes2s6YoYdAgLIgYO0pOUeXv4CfLOtj74XEaXDEkJKmwthmJKHqGl9ZGcuKdkb/z1lYttQHKOem+Lk9A6+nENKTLdCvf5I3liaOeE+HqvMHx/Ue50uwgWpeEGivtxh4iMxaybvMaihJ8LRC6ufz+bzjS/3hWFoid9X/1Mu//5siwJ7visUp+WiV/x1s8ndzMqT37KBOdA7nMi0eRTvGWUjzH/swlczIbfvYqiwe9kgV3NzcPfsq+G0YGypFCNm4r5O6uvzBQjqzgjTdWkPRAIS4MFSc4cPQyTT0qtInxRAhWOg29xOauYPNTS8kKcIAUnL2Hkkue5tXUvwfntwHH7dByRbB1krPxEP/14VUsxDB350/Zkj32W18BsN/io3/fTcOwSjmdbb98haIY8aeQfSyKEGLbSAhY685y9ORk6XAMm3k1h4r33uPckD+lbHyLF5PO8Z8flmPz+0syG3/2GouiOwOMLxnkxdxjeLp7mFpzLZEn3uGT4cGVHW9tRVs7fr0uWOs4e/Qk5dX3scrV6PVqFG4bhk4LXl0uKzZvpjhz6KseR8bVfpUDnx2hUkz8aNRyXK4ockqLsJw8zoAq8tDcqw5sHDNw9QmMM/5xO0qXRKzMjqHTSuS0ZWzZtpxpMdB9+X1+c2Ro1BX9Ybm2O+AcG5KOA/YnYWw5fYODx2Og/AA3ts5W2oxWnJ4wlGo9KakJvpebj4yn10hLcwc93ij0GekkRIz01tMAACAASURBVE7Oq6RGRsBpaqW5zYwzLJK4lHSSNOMcniI46brfTIfFASotSekpxI1aSQs4u1tp7jDj8IQTo0sRX7ge9DqA4PUKThoOvMMf7z/BG68s9TtUaMIQXJham2g1OQmL0pOekeQnk+A00drchtkZRmRcCulJmgk5dVRwddPcaCIiPZPEwB71DZKpm9bmDswOD+ExOlJSE1CPKtRk28ejJLi2uW2dtLYZsTo9hCnV6FNSSRjbAB/6nt8WgstMR6sBU4+TMFUM2oRkEjTKh5JrsmzfD7edjuZmDD0CEfGpZDzMPQYNlLf/8kcUqHoxtNyjwyqg0iaTkaJFOUHyB+6DgwYO23/JjwpU9BpauNdhRVBpSc5IQTuGUIKzi/vNHVicoNIkkp4aP8akRygxdsj9XCZam1oxOcOI0qeTkRQT0EGEwckZCpPtdwLOrvs0d1hwokKTmE5qfIB7aD2TZWdu7B3NNBt6ECLiSc1IQuO9z7H/+oCvRhooi8LQa2yhuaMHb5SejPQEAi5HBCfdrc10mB14wmPQpaSSoA5Wxw9n75PHZOeKYOokN7b7jbR5E8lKG/r6pkdPcPXF6EyuDieabyGvj1Nrjv69AOsxt43O1jaMVieeMCVqfQqpCYHF76H3M7U202Z2EhYZR0p6EpqJ7IQJiTMPLvYgbjtQoU1KJyUuuLMPgspdIeh4ovzpMRsoSzw22GvZ/c5uetb+lJ1zYx/5YERCQuIxZuhA+bE4hXbowOGxEEriu4qreZyB8qNGsncJCQmJiUYa/0iIOOo58ukBqq0C4KHrVhm1YTMpnvkQh8FISEhISEhISEhISEh8B3DUH+HTA9WIw6Eu5CtWrPj1oxZK4jHA1cK5Qye53mqjt+0mp842Er/yaVZkB3+QiISExD8JgpXqQ3/m8/O3aO7uxeO10lZfS9W9cLJykgM8xGzChcJafYg/f36eW83d9Hq8WNvqqa26R3hWDsmPRiiJ7yxOmk78md2nbtJgsNNHDx2Nd6iqc5CaM4WYR/5gWbJ3CQkJiYnC1XKOQyev02rrpe3mqcdui4bEo0KRzILSedS0m2nrimTGhp2UzkuQDERCQmIMlMRn5zMrQYDZA7+VRScQEcBrMSZNqvhs8mclIPgLRcKjFEriO4oc9ZQ8CmPcfjYepkoi6pEPkkUke5eQkJCYGBTJCyidV0O7uY2uyBnSHmUJCQkJCQkJCQkJCQkJicFIa3IkJCQkJCQkJCQkJCQkJAYhDZQlJCQkJCQkJCQkJCQkJAYhDZQlJCQkJCQkJCQkJCQkJAYhDZQlJCQkJCQkJP5/9t40qs3rXNi+JCGQBBICxGjAmHmyAYNtAnie7cRxkjpx4jZuVuIkHd7Vvqunf791/r1d3zrfWW3PWT1pmrRN3XRI3tiJHTt24tTxPBIbg8FggwEPGBBCAxJISI++H49sZpAE2E7yXH8SMNK+973vae9n7/1ISEhISEgMQ5ooS0hISEhISEhISEhISEgMQ5ooS0hISEhISEhISEhISEgMQ5ooS0hISEhISEhISEhISEgMQ5ooS0hISEhISEhISEhISEgMQ5ooS0hISEhISEhISEhISEgMI+RRC/AwEHrP84ffHKTD97Ni3vP8Ymc+mkcq1ST0X+P9//wH1wd9Pydu5Ge7lhAlLWuMROjl/B9+w8GhgeX5/72FvvdH/e4XO8mf1mB7sN38msudOgoW5hAdOj2xH2cGmvfw291XcPh+jln2Bm+uSkT5SKX6ZvHd0KFA7/k/8JshR2Pe879gZyCOJti5VXOJW6HZlObFESbFNwkJCQn/GWhmz293c2Uo2fDGm6tI/HYlmxngW1bDuXqoO3aI45db6LJ7kIWo0cenUbT2KZalafx/AvoY2I/Qd5v6pnsMCKP/RYY8RIkqXI8hIQGDNtTvfgn93bQ2NtJ8pwerw4UsNBydYQ7pOdmkGdQBPyFWrFix4t8D/Mw3DlmYgZySMkqSTNQ09CDo86kojgu4cBWcRm7UN3Gn14s2WotSNivigiKSjOJSFs5z0VDXgSsii/KFyailQnIksjAMOSWUlSRhqmmgR9CTX7mE/MJRv6soJm46jj9wk0/f/b+cvdZAd0IZRXHf9Cg7MXLdXBYsXEi24gY1t/pRpZaxKF2L4lEL9pgxWSz4buhQRpghh5KyEpJMNTT0COjzKygOwNFct7/kz38/QX39XfQlJSSpZiugjkbAabxBfdMder1aorVKHlbLEtPjoeVgiRFIen+ECE6MN+pputOLVxuNdmSyYe6ChSzMVnCj5hb9qlTKFqWj/XYlm6mZTEfwLavh+mk5+A5/P9dD7LKX2LltA09khnDzzAXuxZexMHn0RHCSfPcY2I+7t46jX17kevNVLtdeo6mplS6TkY47t2i/2UTthXOcPX2CM1faMAta4hOjUU00FxL6aD25l7/+7SBnWyzINVq0WhXyQSt3G85y4vhp6jrlxKWlEBXqfxD7TjxRRh6GVh+G0qic1l5zr/0GR/YcolO3hFfTE9HMlq/JlYRH6lHawqS98ZMiJ0yrJ0xpRCmf7HfTRBlL/vwUOm7rKUwIm6EvfTyRh2jQ6UMZkB7vTcpkseC7okN5mBZ9mBJjkI4WEp3D/LRmbqgKSdE8TF15sd84wp5DneiWvEp6ooZvctn0XeKh5WCJEUh6f4R47dw4sodDnTqWvJpO4shkg0anJ3TgO14rTqYj+HbVcI5WzlyxgqqQpYvSiVIBcxexZrmZ67Gh4yz6TpLvHgP7UcZX8NKbFThb9vLrv9TQH17I1l1bSLs/TMIAxpbLnP7XUaoP7+bSpTKee3EDBVGjpq/uXmo++TN7a60YFj7LTzYUEhs6rFdCPx2XDvKP/V/y3t0untn5NEXR/k2BvxsTZQmJ6aDQkbf5VfIetRwSEt8i5OHprP3hT1n7qAWRkJCQkPj28i2q4dwOE5ZBIEKP+sGT3zCSq54k+RHKNWvIVRgyy9mSlkPax++yp+4iH+6Wo35tA+kPFthddJz8Jx/XWlCmb2HH5gVEjX4qLleTWPo033f18j+Ha/n4QwPxrywnwY9Fv8d7ouzuw9jZg90bhi7aQJRmPHE99Pca6bE6kan1GAy6IM66CQw6rJh7rTiEULQxBqLHbct/PP29GHusOGVq9AYDuimFcmM3dtHjEFBHxRGjnf6SrTDowGruxeoQCNXGYIjWTDzgbge9xh6sTgjVRhOrDyfkES9RBq7DR4mAy2qky+xCqY8jVuf/eYqRBGrPgduu4LRgNFpwyjVE6vVEqEOmlFVwWTF2mXEp9cTF6ggNqnMCTosRo8WJXBOJXh+BegIjm13bnYmYETiB6HDmbN+Nw9dXQrVEx+oJn2XH9vT30tVtxROmJzY2cpq6DWKsBCcWoxGLU44mUo8+Qj3zsUwYxGE102t1IIRqiTFE41/KcNNn7KTH7iVMF40hajy7HpsLHkrkE5xYu7sxu1UY4g0j+uPpN9NttOENNxAXrZ70GEHwtjtTMXQyAveH4Pvjz1gHR6AyuR2+vycUbXQs+vCpY36wCE4zxm4rAzIVOoMB/XQCgN++PPM13Pg8TPuZBoILq7ELs0uJPi4W3eTJxpc/Zaj1Bgy6mXi6KOC0dtNtdqMyxGMYGUwwdxuxecMxxEUPm+yN9zVOzMZurAMyVDoDBv0sPfmcRjszVhuZjXRbB5CpdBgM+onznOBBPM4rm70jQ4HYz8Oqp0KiKNz8DDdbd3PJdJ79Jxfwo3XJhAKCuY7DJ+7hJZLSVYVjJ8lDX0JsySoWnPgLlztO8kVDCTuKdFOO9WMxUXbe3M9b71/CIgCEEL/8B2xWnWXv51fp8dz/q0Q2/WwXix/caOXG3Hicg4dP02TyotFqEPpsDCgN5FZuZHNVxtT77AUHbWc+52j1VVpNblRaHUq3DVu/F23aEtY/uYpCQygIZqrfe4sD7QOigVrP8e6vLviUG0rKpjfYWRaFHHCbGzl+8DCnm0x4NVo0Qh+2ASWG3Eo2bq4iY4xQAo72M3z6yVHqe9y+38mIzF7F04vHnG73AwFH2xk+P1rN1VYTbpUWndKNzdaPV5vGkvVPsqrQMLT1wm3m2tF9HDzTglURjk4jw2npw6kykJ63kGVrykkLn8yMHDT87b/48IZz6FeycPK3/5jvZakBAfOlv/L7Az3kbH+TrZlqAJxtB/j97mrMvi4q56znjR8uIVoRjA5nj/Fsc7V1D/+4ZBFtISSe5T/YSOjpj/miwcT9EdNmrmbbc5Wk+n2wPEB79td2h7dgaeLkZ59z6poRj1pLhMKJtc+FXJdM3oIyqioXkDhaXq+LjjP/5OMvGjANdY7V256jMtXfSxHcWJpO8tnnp7hm9KDWRqBwWulzydEl57GgrIrKBYmo5bNtuzMRM/yPBcHocOZs34352lH2HTxDi1VBuE6DzGmhz6nCkJ7HwmVrKE8LR+7u5vSf3uFIh3hzoMJQwQ9fW8OcUMDZxsG3d3OxVxRalfU8P30xd+JLED291O7fzf7qDlz3fxeRRsXmrazK0w9LNk7aDvye3dXmIR969VWWxw9PR0GMldtC08nP+PzUNYweNdoIBU5rHy65juS8BZRVVVKormf3Wwdo990cYj33Lr+64BuB0BQ2vbGTskluTRQcbZz5/CjVV1sxuVVodUrcNhv9Xi1pS9bz5KpCDKGA8yb733qfS2LgICR+OT/YrOLs3s+5OpTUSNz0M3Ytvm8vk+SCcheH/36Kbg+AnKiFWyjtOBDcuI0rm5ozHx2i3vcZVHMof+YF1mbKaPlqD5+cuEmf7+PquUvZtm0l6REj9eS/7Tq5uf8t3g8khgbjdyOl888fgumP32P9v9gm38fbB28N+QegznmBn76Qg5oBmvf8jr/V9eEVR5XYqlf40aqkIHR8/++vcXTfQc60WFGE69DInFj6nKgM6eQtXMaa8jQmTe+B1D6WJk4ePMypxh48ai3hXju2AQWG3ErWb6oiSxdAuemHLy9IVCP3Nw9OO87Nov1MrHzM1e/x1oF230VHVs69+yuGwtUm3thZNuqSVy+ujjP88+MvaBhKNmSu3sZzlakj77lxm2k8fpDDp5sweTVoNQJ9tgGUhlwqN26mKsOfezXG8+XNqM98xKH6Xp8vq5hT/gwvrM1E1vIVez45wc2hYMLSbdtYmR4x0nfdFppOHuTwqUZ6PGq04V7stgEUhlwq12+iKkvnyydT6+iV5R3842/Da7hXeXV5vPh5v9sZvxbcGHp6Rmqjg4dP0djjQa0Nx2u3MaAwkFu5nk1VWeiGBBDjjNkt6rX3BG//n1PIAEVMOTt3rSN51PM1wVzNewHluwDsZybqqQCRq+dSXhbDpa966P36HO1Lk8lUezBfu0CrB9BmkR87xUNGVSIF81RcvjpAy4XrWOeXop9isB6Ly7zkmnjS8wpIlzdTd9uOIBhpbAthwdp1rCwvIH6wjeZuJZnlC0lWywEP5it7eefDi3RGlvPirpfZsrKKqooFGCw1HD9zjsb+VOZnRo24dMJtqufslW48+gLxMi9PLzX793PZW8y211/h2dVVVFRVUjpXQevpk5yut5NSlEV0qJLI5Axy01W01d2iX1PI0zueoqq0hJKSIvKSo4kIleMxX2HvOx9ysTOS8hd38fKWlVRVVbDAYKHm+BnONfaTOj+TqGFCDXae4q9/PEKzXUvBxpf4/vNbWPNEHpHG83x27h4ORz9CRBblpf5e5uWht2Y/+y97Kd72Oq88u5qqiioqS+eiaD3NydP12FOKyIpWIsNN1+nd/PnYPZLWvcab2zewtKKCyifyieyu5uyVe0TMLyN9UmtXEJGYzjxtJ7XNFryJK9nx/AryEyJRK2UgWLh66DBXewcwC2mU5segBOTqWNKyUqClgYGS53lheSYx2lC8QegQt4n6s1fo9ugpuH9x13i/A9wOK3ZBSViIf2txck0c83LySZM3c/WOA2XKIpYtmU9efhry5qvccQh4jM106Zewcf1yynIT4F4z7bdbaPVmszBD50eyCcKe/bVd3wc85hr2vvMhFzoiWLT9NXZuXUVVRSVP5EdhrT1P7fVONIX3x1rA3naRCzcdyL09NHfqWLR+HUvLsonzdtJy6w4trV6yF2agm7JzHsw1e3nnwwt0RCxi+2s72bqqiorKJ8iPslJ7vpbrnRoKy9LRKmbTdoOLGWOQhfgVC4LRYTDxYyLcXafZ/edj3Etax2tvbmfD0gpR55HdVJ+9wr2I+ZSla1HIQ9GnZJKXHkZrbTt2RSIli7OIVAByNYa0HHJizVxtMuHS5lE55hJEN6b6s1zpHmSwt40OVSnPvfQ8W9Y8QV6ch7u1ddTXXsOevMA3bgBy1LFp5DzwISUppYumN1YeMzV73+HDCx1ELNrOazu3sqpKtIcoay3na6/TqSlkUfYcUjNySVe1UXerH03h0+x4qorSkhJKivJIjo6Y/El/bw3791/GW7yN1195ltVVFVRVljJX0crpk6ept6dQlBWNUqEhPj2PgnQ5zXW3sQsCxsY2QhasZd3KcgriB2lr7kaZWf7g8pVJc8HZO1j7HHiiK3jhxXWUZiWRnJUT3LjJR8vmpfdmN/olG1hbWcS8CButLbdobeomVKjn5K1Elm1cTcX8ZJSmFtput9I8kMbCnKgHRWRgtitHEzdv2Pj7EUP99rtp+kMw/Rmjz4nG+gmW5GeQOU/LvdoWrEIMT7ywnbXzE4nUKJEhRxM/j6wkN9cbHMx/7kXW5MUREaYILj64uzi9+88cu5fEutfeZPuGpVRUVPJEfiTd1We5ci+C+WVTXNzjp9495lo+fvcDzndoWbx9l5hfqiooShig/vhJztSaiMnPIX7CW3iGO5l/vlyWrkXhbx4MC5tWnJtV+5lY+YREJpORm46qrY5b/RoKn97BU1WllJSUUJSXTHSEuOtCsLdx8cJNHHIvPc2d6BatZ93SMrLjvHS23OJOSyve7IVkDCUbrux9hw8vdhJZ/iK7Xt7CyqoqKhYYsNQc58y5RvpT55MZNdVFh3I08enkFaQjb67jtl3A23uTbv0SNqytpGheBLbWFm61NtEdKlB/8haJyzayumI+yUoTLW23aW0eIG1hDlFDwYTaj9/lg/MdaBdvZ9fOrayqqqKiKIGB+uOcPFOLKSafnHgVcj90ZIhNJn1EDVcqXq4ZUDtja0HBY6S5S8+SjetZXpZLAvdobr8dWG1U+zHvfnCeDu1itu8Sa6OqiiISBuo5fvIMtaYY8nPixcur5Bri5uWQP09BS/1dnNoSnn1pMxWlJZQUziNOq0IxarBkIZEk+5HvArafmaqnhmuj9xpnazpxhyZSvCQH/bjranKUsi4uX+7A5XYSnldKps5Fy7+OUN/rRZawhFWlCYRN2qYcma2eczf6YEBO+qJCYqa4g/Sx2MsqD9MTn5hATISoGcddBVU7trGyOJu0tFwWrV5BblIMGp8VCH2NHDpwlT5iWLp1JdmRPo2GRlO4/klKwsF04QDnugYnatKHAk10EsUb1pD34L74ELTzKtlUFQPWyxxr7EMghPDYOSTF6cTgGRKOITGZ5ORkkpPnEBcRAkIfjYcOcLUPYpZuZWV2pK+ICCW6cD1PikJx4FwXD6QSLNQdOsptD+if2MbTS+YSGSonRJNA4ZrnWBlpZaoejNsrTTRJxRtYkxf94OlbiHYelZuqiMHK5WON9AmAx8KN2g68xFM8P+nBTXLysDiK1ywl0a/VIDlqwxzmLSgjVQ7e7tu4ouKJ9s3qBVsLNbfFlamB5ivc7b/fRhSxGiu37QaKSzJJjosgJBgdBsBA60F+9//+J//ff/yFc0b31B/wyZkwJ4lY7X1PkhEWlcCcpFjEXznoCl/JC5uXkJuWQlruEjY+uZAIoPdaIz1+CBqcPftru4Bgo+Gzgz69PsOa3ChfESAnLG4B6zcVoJpANkeXhpXbn+KJgnTS0guo2PwUC8XO0ehH5wRbA58d9PXtmTXkRinvK5a4BevZVDCy5dmy3ZmLGX7EgmB0OKO278Fyo5YOL8QXzydpSDnEFa9h6QjlKNHGDevPcORhRCXMITFm8q2297E7c3n6qSXM1YciD9GQULiWbZvSUGCm+uBp7j14jCYf5UMjCXysBGwNn3FQVB7PrMllyMziWLB+Ew/MLCSc2DlJxOmUvh8NJCb7xm9OHOMM30gUGqKTitmwJm/oFSMhWuZVbkJ0u2M09gkgD0Mfn0hCTIQ4jo67KKp2sG1lMdlpaeQuWs2K3CRiNAqxEPU3Fyh1xCfNIUEfHvy4jZGtE/WKbWxcnMu8tCyKVz3N6jkycN3gyNd6Nj2/jtKcNNJyyli/dSkGoK+pjs77m4gCtt3R4+9PDA3c74YIxB+C6E8AYx0SEcec9IVU5YQBRm50hREbc//pkxxVdDTcasGRsITy3BTidaFB6hg8lhvUip1mfpLqQRthccWsWZro5y38/tc+dTYxv6zOvb97RElU7mqeWRoDtjoOHPbF7kkJwJcB//PgdOLcLNvPJISExzInKQ4xXIUQbkj06T6ZOXERY7eEOrrQrNzOU08UkJ6WTkHFZp4Skw3XGnt87Qn0NR7igE/HW1dmMxRiC1n/ZAnhmLhw4BxTpkPkhOnjSUyI8cVOB53qFWzbuJjceWlkFa/i6dVzkOHixpGv0W96nnWlOaSl5VC2fitLxWBC3VAwEWUTjYlnVuc+mDApo3JZ/cxSYrBRd+CwGGf90JFyTA0XXDuja0FHVzgrX9jMktw0UtJyWbLxycBqo75GDh2ow0YMS59ZTe6QAOSufgbRbQ5w+H4d57PTpFitzxcjiE3y9TNBP/4Cb6D5zi/7mcl6KnBCIgyEA9BHl80Nbjs9VnHnTmi4xo9jVgpUWl88dFkwO6feuftYTJRHEzJvMfnDNpmHRJey/fVtzNeJT2r6bpyjyQnEFJJnGBX2VInkJiuBHmobeph0OhQSw6Idr7M1Z/R7x0KIiNWjQMDY1uPXpEzou8E5USgK8wyjgrGKxNxklEBPbQP3d9UJfc183eoB9BQUxo28eVWuI6MkOYgBCiFm0Q5e35rD6ItkQyJi0StAMLb5ig8ZchlAB+cv3KRvaJcY8qgyXvnlm6yI9+91L/KIdIpT5TDYSk2bbzaMgK2lhs7I+RRFA/03qLk74Ps3D+amKxij5pPjW0oMRof+IzDQfRsTwOA9blkC/oIJCCWtOB3tMF2HGeYSLQPsRvqmbCZIew7AdoW+G5y/7gSiKRijVzmaueUsLS8ieZw9eKFpJaSP6FwMqVEAdoxTdk6g78Z5xKYLxvZNrmFu+VLKi5J92/9my3ZnMGYEgT86nGnbl4nKoeP8BW6OVA5lr/ySN1fEz/h7naMKCxn51g0FkVnFzJEBplpqu1wTfHI4QYyV0MeN89cRzSyPsWY2l/Kl5RQlh0874YXELGLH61vJGWugxIoGStt4RVLIPBbnRw0V4iHRlG5/nW3zxfNRs5ML/EQ5l6J5w7Y+ysOJT4oAQJOxgGT1sG7okohXAXYjNp9ZTd92pxtDpyYQf5h2f6YYa+ThpC8pJALoulhNx3C3cLRytm6AueWFDL+QNSiZZHJxEabjPBdu9jHUazlRZa/wyzdX4Gd6nxSh7zrnmgYYP78oickrIBoYaDxP81Qz5UB9eQZruMl4qPYzHULTKEnXDtNFGDFissFu7BuKl+eaEEPsWB2rEnMRQ2wtDQELqGRu0TyGTmXICY9PIgJAk8GCkcGEJDGYYBwKJlw/18QA44+/MiaPAtGYON/cx9RTnAmYgXZC04pH5XUDc8Wg5V9tdP0cotuMUxspY8gTBaDxfLMfC0wzhD/284jrKZni/v0KAoMewOsR/wvIlQq/8qRMcf/+Cw+Dbu+Uf/9YnFEeTXhs5CSCDWJqM/oM187Nyxe5PeLfPfT65mLmWyZcJEzeSZeJpuqzXGq8RZfZjsst4AW8g2JicQ8M+uWMg6Y2jL4/tN+8zMWRQuEZEgqTCxJCYNB0G5MXkOtJ1I/dVx+qiyGcm9j8aH9UpzA1VXP2UiO3uszYXW4EsVPihMI9wKAAKCLJfSKXr/Ze486x9/iP6jnkFeSTl5dHTmo0YaoADhjII5hXlIK8tY2bNe3Y8/MIF2y0XL5HxPy1lCs6qDlq5MaVuwxkpKPymLl+xYi+MOdBQRCMDgMQEN2Cp9lqPc/d0Bwq5070DDVQNMRoRwmiCCVMAXjcw4qTiZiGPftpu4M9Pr3KdcRFjlMZqVKo3JAyfu9itKP8J4QwVQjgwT1l5wbp8fVNrotj/KYrGdn0bNjuDMeMAPFHhzNr+woic58g96u9XLtzjPf+o5o5eQXk5+WRl5NKdJhqVt7pHHF/pXsYclU0cRHQbrNwu8fJmENUYwhirAZ7aBMNHF1c5DgLACpSKjcwvoUHjsvURPXZSzTe6sJsd+EWDZRB0UAZGBwnY4THPnhqMx6zlwv8QBMzZvttSKjC908RI21FpiRUAXjdM2i7042hUxGYP0y7P1OMNUDYnEWUxlRzrKeGc63LScnWAALWprPckGXzvayRF8wEI5MiMpcncr9i77U7HHvvP6iek0dBfh55eTmkRocRSHqfjMGeNronyS9KXRw6OZiEbtpMgxTpJnk9TzC+PEM13MQ8ZPuZDpoYRrtSSJiKEMAz5LA+HQP2m1weKyCihGZuBSyghpixwUTUjyaGiJHBBKUYTHA/kK2Htu5Jxl+pI040JrrbTAwW6QjqZU8z0M7YvK4gVAxaftZG3ZPURkp0cTrkmBC62zANFjGZ28wY/tjPI66nBJfDt/ClRBMqA3koal/KdDv983Vh0OnLK77vmILHcqIsV8gnORch4Or3rQ9am6mpvjPO3xpITARllAKv6Avjf1N/O0f/8mdOdAhEzFtE+bK5xGiUyGUwePcrPjrW4bfMgqvfN3hWmmuquTNOitEtyAAAIABJREFUBwyiUCh8QgmD/eJqiyJ0/Hf+yoN477PQT/vRv/DnEx0IEfNYVL6MuTEalGKn+OqjYwz1SoG+6DneUJ/l6IkL1N26Q8O5OzSc+wK0qZSt3MSa4oSJX+49Uli06UUky9tov1lDuyOPHHcLl+9FkL8hnlj5fAxHj2K8foW7znTm2q9TY9QzPzf6gREGo8NAkIfFU7z6KYoD+tRUyFDIRwsqQyYDvFOvVAVrz4HYruD0BRZFqN/nRR70ZBxflImdY+reCTgdvstTQqc668Qs2u7MxYxg8EeHM237Cn0Rz72h5uzRE1you8WdhnPcaTjHF2hJLVvJpjXFJPjn2H4iR6EY5/tkSlQ+B3c5BvHAFJP0IMZKcCKamYLQQA08IAT624/ylz+foEOIYN6icpbNjUGjlCNjkLtffcSEKUOuYEyYGP7Ns5EL/GUS2cbLxUM/+/LYtG13ujF0agLxh2n3Z4qxBkAZS9HiORz/7A7Xzl7HmlmETjBRd7Yd1fwfkjbqxrygZFLoKXruDdRnj3LiQh237jRw7k4DYogsY+WmNRQnqKZtV1PmF5lSXPQQBnG4pnqiHJgvz2QNNxkP1X6mg2wc25OJtyN7h5INQyG2hurxBSQRJVEKL4FJKB/Hl+//03iyDf2vAMinHH8ZStGYGHS4pvFEefrtzHZtJFOGIbqNg6ncZsbwx34ecT012NuBFYBIkqOUoAgnzqCCzgEGLWYGBKa4z8lNn9F3YWJEAtF+XNH9WE6UJ0eOUhUCuFCkrOXll/MnvoV1UtyYLn/GiQ4BEtawc0cVscO04RAuBDS2cqW46uJSpLD25ZfJ90MouVJNCOD0uBgcz7MEd8CBwG26zGcnOhBIYM3OHVSN7NSD2wCHUBKVvZRns5eyxXaHptoaLlV/zfWedi7u+yMW+Y/ZXqz36wmUXJtBcbKc9vYWatr7mDNQw72IfDYYlITIcik0HOUr43Vq7zqI7KzBqJ9P7rD9ZcHo8JtPMPYcmO3KQ0U7G/QM4scukxlETqg6BBjEM+ieMnnMnu3OVMyYPWbD9pVR2Sx9NpulW2zcaaql5lI1X1/vof3iPv5okfPj7cXoRzv2OBMTr8fjV+IXhHH+yjuI07f3SqnyY7EkmLGShyKamX/bqILGbeLyZycQ3W4nO6pihyVQB8JYA/WbaeeCoMdt+nxT4ra//vBw+qNAn19O5pGPuN5ylqumAkqdl7jQHU3Zs4mM3lMQtEzKKLKXPkv20i3Y7jRRW3OJ6q+v09N+kX1/tCD/8XaKxwSBwJgyv3jduDwAIajGXQUa8WUB+PI0argg/OXxsp9pIPctXroUpKx9mZcfJwGnHH8vbtGYCFFNY/HwYbUzsQBT1kZet0t86hmiGn/x9JHxKOspB7dq28S3BsTkk6kPAeQkFswl9Gojrt6bdA4sIWoygYR+7rX1AqBKyyXOjyf1j5X6/UNJdGoMMsBjneD8kttMS+0VGu7YJykuBjG1mwDQps4du1XKG9gUVRmdSowo1ATnE9yYW2q50nAH+/1XIkXNIQpAsNJpGXuKxt1non/Mbydn0NQunsPVpjJ3bKdG6kMYxNbdicl3dXyIdg75FZvY8ZOfs6MsEnBx41K7/zLItaQXzUGOi5uXG2m43EF4Xr54/iMkhryCGMBOU00T9TVG9IW5I85hBaPDbz7B2HNgtquMThH1Kljpto1tQHCZaKmvp7nbOebfpoeS6BSxb4K1m7FNC7hMLdTXN9PtFGbRdmcqZsweM2v7AoO2bjpNvle6hGiZk1/Bph0/4ec7yogEXDcu0T7MsWVy37kf98CoiZqA02rBH8sYOsM07NNOM912AC1JBn/eTRnEWCmjSRENHGu3beyZKMGFqaWe+uZu/Li3Y2IGTYhupyV17tjjQQGmjBEEmwtmYtymy+MftwPzh4fVH7k2k/J8DdDB+Uu3ab1QQ9+cJcyPGfv8IhiZhEEb3Z0m32tzQtDOyadi0w5+8vMdiCHyBpfaA60wxjI8v3SNk1/cti6sAiCLITV6ikPRAfly4DVccP7yeNpP0CijSRUFxDpOzAZwm1uovdLAnYct4PDx7xpn/N02ukRjIiY1Ovh7Nh5WOxMLMKw26hqnNnJj67Iiuk0qU7nNw+XR1VOujgv862o/EEbO8lLf22zkhGdUUKQDnC183WKbtE2PpZGv2wUghkUVc1FP8rf3+QZOlOVoMxeRoQSMdTSaxpRmOJqP8OFHn3LJMtn6oJwwjWh9TsvoYOHG1mkZczZKJvcdFPcKvhUgN+b6L9l/+BI9qkwWiUJR12gaWzA6mjny4Ud8esnyYPVIHpFByVw5YKK+wTjywgmhj9YrtwM+CC8P04hO7bSMMWC3rRPL8E65uzn7/tt8WGsdaVjyCFLyUlFxfyuJ362jyxAv73E2fsGX7eHkF9y/zCKEmLxCYgD7lc851hlJ4bBt1yAWDoHqMCBcPTTVfM2l2lasM33DQNAEY8+B2a5cl82idPFyhfqm0XoVcNz4nH98sI9L5plOinJ02YsQm66naXTfBAc3Pv8HH+y7hFmQz6LtzlTMGGKyWNAdxM0xM2v7brrPvs/bH9aKBepQK0Sk5JEqKmfE0115mI7IUKC/i87hl9V4zDTV3POrDz3110ZdTiPQ11LDHQGIzGd+/FTnk0UZAx4ruY7sReniBTn1TYw1sxt8/o8P2HfJjCAHkCH3bRP33n8K7jZT/+V+Dl/qnvjiH3kYots5sYw1UDotwZ+mDTYXzMS4TZdZj9vDCM7vAvOHh9cfNSmLi9EDvef38Wmtm4zyXPGVRaMIRiZ391nef/tDakd2GnlECnlip/E3vU9a+6iH5ZcxsrkxNTXQAygzysjUTvVEORBfDryGC85fHrH9yOSI4crLULiq58v9h7kUXLIhc1EGYohtHKNjBAfNRz7ko08v4Wc6nDlGjP9Y2dymJhpEY6Isc9ilU4HqKNh2ZoyRtdGYPOc20SQKQEZZJlO5zeQEme8mkX2m66mpEXB1fc0nfzvKPS9Elmxlc8GwexzCUlj+5EIicdF0+F802SaoZT1mrn7xJW0CGCq2UJHgT03yuEyU3QPYzBbsvuV+wdmHxWzG0jf+2QC5Lp9NG7JR0cVXe7/ixoPlGAFn5yU+3V+HM6mKVZm+mzwFJzazGatDPOjt9fRjNfcTkZcnrgY2fsGXV3t9BuOh7+ZJDpztAcA76MBqtmAfFJCrojGoAUcPFpcAgp2b509T3WRBUOjI37SBbBV0fbWXr24MrVIJzk4ufbqfOmcSVasyh24EVOiZv34ZiTLoOfERh+t8TzzcVlpP7+PIPd8lEZ4BbBYzVsfUs7uwhAXki53iiy+v0uvzAk/fTU4eOEuP2CkcVjMWhxvw0HHyGA29w757sIdr1c0MEEpGSWpA2yrkugyK5sjAO4ArMp/8YTfihcTkURgNCA7c0YXkjl45lweqQwGnzYzZ6hAvePJ66Lea6LrXRc+I35kx25wM9l3nX3v38clnl+nxs6YV3L7xH2abps673Oux+Z5OCTj7LJhtTjwIDDqsmK0OcQua102/1YzFPnkoCtieCSNhQb7/tuuJoGDjOjJV0HVsP6faHA/8ytVTx+eHruGeU8WyeeoJfNGG0yOelbGarTjEzuHut2K22Bnv7qKhvhWwcV0mKro4tv8UbY4HLdNT9zmHrrmZU7WMeerZtd3AdTw5k8YCIQgdEkT8mAJPx0mONfQOK9QG6blWTfMAhGaUkDrcscMSKUwLBe5x7OBJrt3pxnivhYsH9nCRaMT7mxxYzWZsAx6fXDbMZisOnwGohMt88nkd3WIQw3rzJHsPNjNIBPM3VDHHv5wUxFjJ0RVsZJ1o4Ow/1caQmfVQ9/khrrnnULVsnm/1WI4q2oA4fBbE4bvJ+dPVNFmEibeHhyWwQDRQGr/4kqtDBsrNkwcQ3c4rxgCLFZvFjMXu9L2izUmfxYzZ0jf+eTN/c8EYmQIfN3AzYBsrm83pQfAMYDNb6fMJ6XH2YTH34RIE0Vatdp/8HvptYtwTAo7b4B6wYbbYA46hk/rdFJM+v/0h4P6Mr88Jx3oYofElLEoABk1Y1fksyZgg/gShY1+nOXmsgZEh8hrVYqcpSfUvu09V+9zPL93H9nHyQX4RcLSf4tNjXRCWyboNBeimjF2B+HKAeXBQCNJf7qtytuxnSuUTLSqfHosLAQH7zfOcrm7CIggT+jKCmCutDnFrr9fd79MD6PI3sUEUkL1f3Rh6oik46bz0KfvrnCRVrSLTDwEn9GXBw4DNjPV+He8RZetzCQjufqxmK/b7cabfJuZIYdj4dx9j38mh8Rcc7Zz69BhdhJG5bgMFw41pEh2ZBwfG1HAWcx8h2RsCa2fWaqNuju07OVQbCQ7aT32K6Dbr2HB/Qii4xdpndJwxW3G4Jws0k+W7QZwB248ws/WUux+r2YzF4RIXjgQXdqsZs7kXU3cHbdeq+eqT9/iv3+3jqi2cect28OqTeaPeUy0nInsjL28tItp2iX/+6SNOXe8ZtoNMoL/rGl/984/sqXcSW7aN76+aO8VZ5iFk//7v//6w14zGMNhxhN/9/iS9o34vm/s9fvlK4QQTNRfG2iPsO3SednsY+rhoVIKNbmM/kbkr2PJkJWk+Jxd6z/P2bw4yer0wZuUungs/w0cH6+gRQK7WoVW4cGmyWVpk5csvWn0rkiFkbf8FO3IV3Dv1N/70RSuuiFjiw2zc61FR9L1X2FIYiQJwGWs5su8Q59vthOnjiFYJ2LqN9EfmsmLLk1SmjTYcD7brR/lo70laHYiH6b0elMkVPL3Uw+G/n8Pi+8vwkh/yy6fTptSnq/Mi+z44SJ3YKXRaBS6XhuylRVi//IJWX/wPyXyaF5Nv8GV1A3dtCrQGA1qlmz5jN1ZvDLkrtrClYu6YV/VMjkDvhT/y2wO3iax8nZ+sTRq2bWWQe//6H946biJmxY/40Yr4cQ/J+61DoZfzb/+Gg6MHVrx4cCQxK3ltk5m/775Ef+oWfvbDhUT60a+B5o/49e5aBqb6w5iV/PhHi7Hs+TXv14/cwCVPf57/5+X8Kb7Af3u+//edF/fxgd+2q8bVXcMXnxziwu0BNDHxRModGLttqDOW8fQzy8mIkE/gizGs/PGPWGzZw6/frx+5PU2ezvP/NtU5LBfdNV/wyaEL3B7QEBMfidxhpNumJmPZ0zyzPONBwTC7thuojifv00SxYFPMBd4KUoeBx4/xELA1H+fQl9U03LWh0BowaJW4+4x0W73E5K5gy5YK5o5ybHfvFfb/dS81PUM7F6ILN/FM4U3e/8fVBz4Qs+JH/K8VsfSef5vfPHA+OWlbf0Be4yccajAjk4MgAIpYijZvY/PCuDHnLnF3cfyt3/EvYxRL3/gxqxOH7y8LYqxc3dR88QmHLtxmQBNDfKQch7EbmzqDZU8/w/LhkxDXPU797U980eoiIjaeMNs9elRFfO+VLRSO90jvwec6ubjvAw7W9SAgR63TonC50GQvpcj6JV/cN1BFCnkRt2iwjPq8bC7f++UrFI7rL37kgoSN/Oz1JUQN63pg4xYPgx0c+d3vOTkq4cas/DG7smv5/e9PjLLdRDb9fCfxJ/6bP1X3jfxQwiZ+9vpiouSB2O4gHUd+x+/HCuBHDJ3Y7+7n4LEE5w9+92cCfU4+1kOyWS79hd9+0krk0jf40erESbd5BhIfBFszxw99SXXDXWwKLQaDFqW7D2O3FW9MLiu2bKFi7ujXKk3Y8tS1z7D8Eh4TjxYbnT121CmLWL9lLUWxfq6UQQC+HHgeDNhfZtt+/FHHvVP87U9f0OqKIDY+DNu9HlRF3+OVTTFceGt8X/7RYgt7fv0+I11JTvrz/yaeS3YZqT2yj0Pn27GH6YmLViHYujH2R5K7YgtPVqb5MZGfxJd3ZVP7+99zYtQ/JW76OTvjT/Dff6pmZDRJYNPPXmdxlHzk+IfHEK8FW2cPdnUKi9ZvYW1R7Jh8MpGOXips5I/vj67hwsjf8XOen9vndzuzXxuFEyMKQI9dTcqi9WxZW8QDtxlo5qNf76Z2TDGqpujln/NM+iSHbSfKdz9YxL2/vhOc/cxQPeW6dZD/evf8xG90CNGgj00gNSOf4tIFpEdNFkcEBu5d5eTR41xo7MapUBEREQrOPvoGBFRxeSxZvoqKvFj8uMPrAY/FRHlaCE56O27TZRnAExJBTKL4QvBA5naC00zH7XtYnDLUUYkkx+smOTwv4DJ30N5hxinTYEhOIX7MW7sFnL0d3O6yMOAJISImUXxJ+GRCuR103b6N0S6gik4iZVIZ/OoU5o7b3LM4kamjSEyORzfhF7rp6+4Qn5J6ZIRqDSQmxY59GflDJQgdTvp1Dpo+/m/+dkUg//mf8r18/5PUQyVAew7MdgEEnKa73O6yMkAY+vhkEqP8OTs6AwhOTHdv02UdgDA98cmJRI0XrWbbdmcgZvi+yI9YEAwzZ/vuvm467vVgc3qQhWoxJCYRO5mMnn567tymy+5FY0ghOVYd4KukPPQb73Cry4YQpichJRF96ASCTzpR9hHEWAlOE3dvdyGaWTzJiVHjJ0XBhbmjnQ6zE5nGQHJKvJ8xT8Bp7uD2PQtOmZqoxGTidTN44cs4uUBo/4Tf/vkS9pRn+bdXF4jvJR3OtMdtppjhuD1BG8H6XcD+8FD6EygByuTuo7vjHj02Jx5ZKFpDIkmxEUHc5Opn7ePLL07C0MUlkxQdfH7x15cDzoNB+sujtB/BZaajvQOzU4bGkExKfDBjOM73OnvpuN2FZcBDSEQMiUmxaB+T26MejL8TwnRxJCdFTzrBCVZHgbYz4zyojZwQpiMuOcmv25gDayPYfDfV985UPTWzCC4LXR1GzHYnsrAI9LEJxOpCg5Lrmz9RlpCYkkGMl/byp0/qCSl5YZxtGxISErON23qLdqueuclasSgdvMe//uctjpsMrP7JmyyNfaQrc48cj7WFKzdDyJqfOupJjoD54rv8+tM7RFbs4ifr5ox9Oi8hISEhISEx4zzqSb+ExOwjDGK3CKQu38Fr0iRZQuIRIOC48Rl/33flwXlJYaCL21YgPIVk3Xd7kgzgNtVy5JNPqe4aeaeBMHCbC2fugCyRRcXx0iRZQkJCQkLiISFVJxLffuQa5q7YztxHLYeExHecwa6jfPTpIEUJcrrqTtHijiD/yWWk+PEuw289MjkyoYujf/oj3aX5JOtDEexdNF+5RHNvFAu2bqM8TkrZEhISEhISDwtp67WEhISExKwjuHppv1pDXXMH5gEvYZGJZJUsZn5y+CM6T/u44aav4wYNja3c7e7FNuBGpgwnKiGN/OL5pOkfq5dpSkhISEhIfOuRJsoSEhISEhISEhISEhISEsOQzihLSEhISEhISEhISEhISAxDmihLSEhISEhISEhISEhISAxDmihLSEhISEhISEhISEhISAxDmihLSEhISEhISEhISEhISAxDmihLSEhISEhISEhISEhISAxDmihLSEhISEhISEhISEhISAxDmihLSEhISEhISEhISEhISAxDmihLSEhISEhISEhISEhISAxDmihLSEhISEhISEhISEhISAwj5FELIPEdQejl/B9+w8EO38+KeTz/i53kax6pVLPCQPMefrv7Cg7fzzHL3uDNVYkoH6lUD5MBmvf8lt1XHmiAZW+8yarE744GZodHrVeB3vN/4DdDTsy853/Bzm+gE3tsN/n6cie6goXkRIc+anG+NUyoV1cPdccOcfxyC112D7IQNfq4OaSmJpEwr5jSnGhmchT6r73Pf/7jOoO+nxM3/oxdS6KmfjLwjclTjzoWBMM04sck4yL5soSExGyiWLFixb8/aiEkHj2C08iN+ibu9HrRRmtRyma4AVkYhpwSykqSMNU00CPoya8oJu5xzuuTMJm+5Lq5LFi4kGzFDWpu9aNKLWNRuhbFoxN3VphYB3J0cxewcGE2ihs13OpXkVq2iHTtN1QDghPjjXqa7vTi1UajnXHnGNEYTuMN6pvu0OvVEq1VMtTao9arjDBDDiVlJSSZamjoEdDnV1D82DnxZDoEGODmp+/yf89eo6E7gbKiuBmdpH13mUiv/bQcfIe/n+shdtlL7Ny2gScyQ2g+fZHrt9q40dBNQlkRcTM4CIrIDIpLFzLP1UBdh4uIrHIWJqunnig/Znnq2xVjpxE/JhwXyZclZo5Zr4MlvpFIW68lAPDab3Bkz8fsOXiZHvdstCAnTKtHr9Og/BZY3WT6kodo0OkjCQ/7FnR0EibWgZwQjQ59ZDjfChV47dw4soeP9xzk8uw4x/DGsN84wp6P93Dwcg8jW3v0epWHadHrdWgeayeeTIcASmLz55NiSCS/MIGwRyDht5MJ9Opo5cwVK6iyWboonSiNmsi5i1jzRAaJsdEk5heSMMODIFeGE6nXBRGDH6889W2LscHHj4nGRfJliZlj9utgiW8i0tZrCQkJCYnvEAp0eZt5Ne9Ry/FtY3y9uh0mLINAhB71gweeYaSu+QGvr3nIIkp8y5B8WUJCYnZ5/CbKwiAOq5leqwMhVEuMIRqNX1K66TN20mP3EqaLxhClGadzbuzGLnocAuqoOGK0oQ/nkbrgxNrdjdmtwhBvGNEfT7+ZbqMNb7iBuGj1pNtzPf29GHusOGVq9AYDOr+XkgVcViNdZhdKfRyxutnot8Cgw4q514pDCEUbYyDav4Eb8R1Os5Fu6wAylQ6DQe//arngwmrswuxSoo+LRRc6yQfddoxdPTgENVFxMWgn+9sZRHBZMXaZcSn1xMXqmLRZTz+9xh6sThlqvQGDLmz6Y+bpp7erG6snDH1sLJETKncmxnL8750ROxScmI3dWAdkqHQGDPoAdOPuw9jZg90bhi7aQNSM9GuGZAu+0QD06qG/10iP1YlMrcdg0M34EynBacbYbWVApkJnMKD3owHBacFotOCUa4jU64lQh4zfh6DzQ0A9eDhxaALcDl+cJxRtdCz68Al0MQpPfy9d3VY8YXpiYyMnlzmY+CI4sRiNWJxyNJF69BFqQvwRTPAgACAjkJ2MAee7MXE9gMamlob+3i66rR7C9LHERj4Mvw6GwGJs8DXFeE0HH/sCst1AeMi5fub0GXwOdvcZ6eyx4w3TEW2IGjc+uu1GunocCOoo4mK0k9ciM8UM1cHB10YPow6W+Dby2EyUBUcbZz4/SvXVVkxuFVqdErfNRr9XS9qS9Ty5qhBDKOC8yf633ueSRUy9IfHL+cFmFWf3fs7VHs+D70vc9DN2Lb5/eYeAo/0Mn35ylPoH+ylkRGav4ulyF4f/fopuD4CcqIVbKO04wJEO8RoQhaGCH762hjmhgLONg2/v5mKv2LYq63l++mIuD66iGFc2NWc+OkS97zOo5lD+zAuszZTR8tUePjlxkz7fx9Vzl7Jt20rSI0a6r9vcyPGDhzndZMKr0aIR+rANKDHkVrJxcxUZD84lObm5/y3ev2QRC5OQeJb/YCOhpz/miwaTr1gBbeZqtj1XSapaDoKZ6vfe4kD7gPjv1nO8+6sLPr2FkrLpDXaWTXIJiuCg7cznHK2+SqvJjUqrQ+m2Yev3ok1bwvonV1FomKpicWNpOsnBw6do7PGg1objtdsYUBjIrVzPpqosdPctdTwdbwzl9Mdf0GB60EMyV2/jucpU1MMFFxy0n/mUT47WD22rkUWSveppyl2H+fupbkQziKLs5dfZlDrORq5g9OV10XHmn3z8RQNDImayettzVKaOOjfnNtN4/CCHTzdh8mrQagT6bAMoDblUbtxMVcbUZ50FczXvvXWAWy7xZ1XWc+wobOHT/dV0uO7/VQRpFZvZuioP/X3d+juWQejA6+rgzD8nsUN/cFtoOnmQw6ca6fGo0YZ7sdsGUBhyqVy/iaosHUNmsp+33r+EaCYhxC//AZtVZ9n7+VWGwkQim362i8VREy8YmKvf460D7QyIHeXcu7/igu/PQ1M28cbOMqLkgck2EffHrV1sDOu5d/nVUGNsemMnZaNk9V+vbsyNxzl4+DRNJi8arQahz8aA0kBu5UY2V2Uw3eONbksTJw8e5lRjDx61lnCvHduAAkNuJes3VZGlG2fp0tLEyc8+59Q1Ix61lgiFE2ufC7kumbwFZVRVLiBRLfc7P0ypw1eW0/GPv42IH6++upz4EFFHDyUOTaQ/8zWO7jvImRYrinAdGpkTS58TlSGdvIXLWFOeRrj8vk3eQnRlFVnP7aCw5VP2V3cw5N5pVGzeyqo8/Ui7Cya+uC00nfyMz09dw+hRo41Q4LT24ZLrSM5bQFlVJQui73FglD5e/X4q5995n0tmt2ibvSd4+/+cQoYXWWgouAbxin/M8ldfZbk4CAHkOx+TxPXFAtPG01vL/t37qR4KnkSkVbB56yryfMFTMF/kvbcOPoi5AKhzeOGnL5CjFi94/N3f6ujziv+kiK3ilVdXkTRRapzlGBuwjidjOrHP00vt/t3+2e5onDfZ/4f3x/flAHL9wi1FdBz4CrHkU2Co+CGvrZmDWPId5O3dFxHLNxVZz/+UF3PHXj42Y/r0u54ar9bbjOrsXj6/2sNQitvEz3Yt5n7aEBztnPn0E47WDx1JkUVms+rpclyH/84psRBGHrWQLUUdHPiqQ7wQT2Gg4oevsUYshGk7+Da7L/aKbauyeP6nL/JALbNUB/sfux5BHSzxreaxuczL01vD/v2X8RZv4/VXnmV1VQVVlaXMVbRy+uRp6u0pFGVFo1RoiE/PoyBdTnPdbeyCgLGxjZAFa1m3spyC+EHamrtRZg5d3jHYeYq//vEIzXYtBRtf4vvPb2HNE3lEGs/z2dk7WPsceKIreOHFdZRmJZGclUNeehitte3YFYmULM4iUgHI1RjScsiJNXO1yYRLm0dlcdzQbcby0bJ56b3ZjX7JBtZWFjEvwkZryy1am7qQGGc/AAAgAElEQVQJFeo5eSuRZRtXUzE/GaWphbbbrTQPpLEwJ+pBgvCYr7D3nQ+52BlJ+Yu7eHnLSqqqKlhgsFBz/AznGvtJnZ9JlFIGyNHEzSMnPw1581XuOAQ8xma69EvYuH45ZbkJcK+Z9tsttHqzWZihQyELITI5g9x0FW11t+jXFPL0jqeoKi2hpKSIvORoIiZbbvT0UrN/P5e9xWx7/RWeXV1FRVUlpXMVtJ4+yel6OylFWUTfvxXBbaL+7BW6PXoKKoqJU3ow137Mux+cp0O7mO27drJ1VRVVFUUkDNRz/OQZak0x5OfEo5KLOo6bl0N+mpzmq3dwCB6MzV3ol2xk/fIyxC62c7ulFW/2QjJ09xPUIJ2n/sofjzRj1xaw8aXv8/yWNTyRF4nx/GecvWOlz+EhuuIFXlxXSmacDlXIOM8//NaXgL3tIhduOpB7e2ju1LFo/TqWlmUT5+2k5dYdWlq9ZC/M4IGIHjNX9r7Dhxc7iSx/kV0vb2FlVRUVCwxYao5z5lwj/anzyYwafTnRaBEjSc7IIy++l6tNJpwDJto6VJQ+95Kvz3F47tZSV1/LNXsyC7KixUsr/B3LUKV/OhDstF28wE2HHG9PM526Raxft5Sy7Di8nS3cujPMDqcMEGZqP36XD853oF28nV07t7KqqoqKogQG6o9z8kwtpph8cuJViGYST3peAenyZupu2xEEI41tISxYu46V5QXED7bR3K0ks3whyRPOYmSERCaTkZuOqq2OW/0aCp/ewVNVpZSUlFCUl0x0RCjyAGWbfNxySVe1UXerH03h0+x4qorSkhJKivJIjo4QV/4D1qsH85W9vPPhRTojy3lx18tsWVlFVcUCDJYajp85R2N/KvMzo/y8vMSNqf4sV7o96AvEy3g85lo+fvcDzndoWbx9Fzu3rqKqqoKihAHqj5/kTK2JmPwc4lVDGvCYa9j7zodc6Ihg0fbXxM9UVPJEfhTW2vPUXu9EU1hGulbhd34IVU6hQ0MsyenD4ocyhdJF6WgVDysOTaTSLk7v/jPH7iWx7rU32b5hKRUVlTyRH0l39Vmu3Itgflk6WoXPJvPyiO+9SpPJyYCpjQ5VKc+99Dxb1jxBXpyHu7V11Ndew568gKxoX7wIJr54zNTsfYcPL3QQsWg7r+3cyqqqCiqfyCfKWsv52ut0agopy4gjYd4ovS4pID0jh/x5Clrq7+LUlvDsS5upKC2hMDObotIcQlqucsehJKVUvIgqsHwHU8X1c/ccOPoFIrLKKfXnMq8H4+HLU4OD9LZ1oCp9jpd8dUOc5y61dfXUXrOTvEDMbbIQHXMy5hFxr5YWq0DMEy+wfe18EiM1KGViPJqXlYT7ej2O+c/x4po84rRhKCbyN3/zTBAxNnAdT0JQse9+/BhksNdP2x09Lh49BUsrKMgaz5cDy/VZSSlk5eSRHtZKbbsdRWIJi7MiEUs+A2k5OcSar9JkcqHNqxxz+djM6tPfekqBJj6dvIJ05M113LYLCMZG2kIWsHbdSsoL4hlsa6ZbmUn5wmRxoW6wk1N//SNHmu1oCzby0vd9Oo80cv6zs9yx9uHwRFPxwousK80iKSWLnLx0wlprabcrSCxZTJZYCKM2pJGTE4v5ahMml5a8ymEX3s1CHRxY7JrtOtiNw+rAqwyd2H8lvlU8PgskCg3RScVsWJPHgxv+Q7TMq9xEVQxYLx+jsU8AeRj6+EQSYiJEJ3LcRVG1g20ri8lOSyN30WpW5CYRo1GIAVawUPf/s/fmwVFeZ6L3r9/etLZaau0bQmBZSGK1MZjFAS9stgEvOJ4wwfE4duwkk+TWZL66f3x1K/VV3frmm7p34jh3MnZmEq/YHjvAgAGDgWDCYlYLhEBISEgICUmtVqt3qbe3vz/eBi3dQt1CEsQ+vypXGUnve57znOc553nO9u45SFsQjA9uYN2CKaTpJDRJuVQ9+gzL0xzKjJnWQE5+AbnGZFKzC8jPNkR+zkfSk55bQJ5phK0hEbJ1kbhsA6sfKGdqyT3MeXgdjxSowNfI/q+NrHluBffdW0LJvfezcv1SMgFXQy1d3vD7ZBf1e3ZxwQWmpetZXpYW7jh0ZFSt5Im5yWA9xa4T5vBnMCT06bkU5GeRqgXwYE5ezncfX0B5SREl5QtY/cQ8UoDeS/X0+AE0JGcNqq8mmcy8QgoLCyksLCA7ZbR1MDVJGfnMWfUoMwYajtSpi1mjNByH6l2MNLEvu+rZs6sWJyaWPvUI5TeWN7XplD/yFEtN4Kzdxd4b7wi3QX5WqiKvx0zy8u/y+IJySopKKF+wmifmpQC9XKrvufl5ENley56DbQQx8uCGdSyYkoZO0pCUW8WjzywnzaH8pdaQQ35B7i22i8avL485ieXPP8mDlaWUlFay6PEnUUS8RH3PTQlx1e9hl9LYrF9eRlr4VbqMKlY+MZdkrJzadQKzP6KIYSImk1VQSN6NLUxuL+XrnmTBFOPNOj+2YQ0larCd2c2xzhtz+bG2Zbw68GBOWs7zTz5IZWkJpZWLePzJ4XZ4K8K6qXWCaSlPPVLOgJmU88hTSzHhpHbXXqWPACS9kZy8XExhWTzX1SzZuIHlc8ooKSln/iPLKM83kTTKSKdJzqIgPxuDUlGSM/PC9SykIDsFzRhku0VhZBXkk60UhiY5k7xwWYUF2USaVmx6VXzsAi5MLF2/nLIBw6Jq5RMo3cguToxqWCMQ7qcUFTzFI+U3VoK0pJc/wlOKE7Nrbz03VSA7qft8d7hve4pHy9PD/a2EPnsWK9dUkjC4jFjHh9F0qB3Wf9yswuT0QyMRtDdyviMEOXOYmX8jqZDQZ8/h0aV5Q8YbTXIWBYV5ZIQP/Lq95ax7cgFTjDokTRK5VY+xYU0Jamyc2X0Mxb3H0r/IOOs+Z3f4maceLSc9rDRJn82slWuovNFIw/UBoBr2M00KWfmFFBYWMbXsHkoKboxTNxshzvEu9n597Ljxlq/jyQVTMN6IGx7bwBql82T3sU5lJVSTQnZBKfctKUMPWBrN6LNMN3cSSAkZZHCNK548FiwspyhnlKM3E9XHjkHHI3P7fV9stjsCw+3rhlTxjvXJBrIH9RmDkfTp5BbkYUocYaJrXPUJsY/BEnpjDnm5pvC44OG6egkbNyxnTlkJJeXzeWRZOfmmpHAyJ2Ov3cNBJRBmw7oFTEm7ofNHeWZ5GopatBhy8inINZJsyB409g3RihJn5pmIqpbxjoPj7rsmMA6WPVze/lv++V/+F//7w6/pHdjEKvgGc9ckyhrTfDa+sp57k4aJpEkhy6gG2cLVaBG1ZioPVKQPBBKaDO57/hU2zDQgAbKria9bgoCRyqphnw6QDEybWzhxStBOYfbUlIH3S8nk5KcAkDRtFoWJg6phyCcnAXBbcIadT3Y1cqLBC5iompE5LHFPIK+8EC3Qc75uhBv6dJTMKSV1UAX1mVPIUCnluMbjVj+NifkbX2H9vUnD9KghJcuIGhnL1ZECRRnX5RM09AMZlczIHNYja03MqMwA+qk/2UTUsVZXwpzS1EFl68mckoFSRVd4e5GMq+lrFDOopGrYd0gkwzTmFk6cK+hK5lI6pBFMFKcDuLHcaATZReOJBryAqWoGw1WRkFdOodLY1MV7HWN6VUSd1Wn3MKdABVg5f94cDvZupy1vhY6SucPs0FSMooIY7FB2cflEA4qZROpGa5qBYib1nGyKPimjmfoAFekDo7om4z6ef2UDMw232e7jINvYiUWvMq7GEyjdSFWkjyXkUa4YFufrot0QPTqy6zInFCemMqKf0mKaUYmigpM0hZ1YdjVy8rJ3hGckkqYsZOnC2RQmK5Ub8/gQWw0mqR+6BSpJmdjtOMmpZtfA1kkk0u9/kX98dRk5I3xFJ72qatinldSk3TMHxb3Pc97sG1v/IrtoPHkZL9FtW0qawsKlC5ldmDwuY2j8491k9OvpVA2PG9Rp3DOnAEW95zHfTOYkkksXUpUCmE8P2aoNHlqO19JfvICqjIk48RZbH3v7McUgxqHvi8l242Jyx/px1SfcxhisYeoDFQwMcRoy7nueVzbMxKAEwjR93YKiluE6lzBMm8uEhUC3GQfffmw0jnGw7Kar3Q6At7Mdh7gZ+1vBXXNGGcBnbeDM8Wrqr5mxuX0E5BAQwu8KAgH6/VG62uSsm7NL0fBb27CGAMlInjHyQJDOYCKZZpzjVYnBJJkizv1pdOrwr1KGrkqrtOjUQChAIHhD9qtYwlV2N5/ldNvQdwV7+5X/sV3D6oPcCD0kYUod9kO1Dr0aCAYYt8kwn5WGM8eprr+G2ebGF5AJASG/EvAF+v0jJAh+eq52IwOSIZu0iEBQiyHbgIQVufsqVv9sDMOPDSeZiKyiHqWKN2rox9pmRTGDPCLNQIfBlAzNE2IFJJlShzmaBn2CBggyIKKVqwONzdnIxkZpbRvXojf2yKQMW7kBkBLIyE6BVif2th68FCrB4Jjb8lZEsUONHkUFMdihv4er3TIgYchOi9zpoTWQbZDAKtN91Yp/tiHiMyHJWWkT09mNg2xjJxa9+rFetYTbzE3z2dMMtawgA92IFR+5cevJ33MVRQUGsiOdGK0hG0UF3Vy1+plt0OPvCfdtIzxDQhGLVxUN+dGYxofYajBJ/dDIqNPKebD8S7ZdaufQu/+LMwUzqKyYwYwZ91KcoSfhFju3U4atqIGygqm4t522Hi9kjaF/8feEnxnBtkmgaPEqiiJ+PjbiH+8mo19PISuy8yQhI5sUWnHa2+jxQuGNsvUFzJ9n4sxfejh3ooXvFJWRBMiOBo43wj3PlHG7c3PRia2Pvf2YYhDj0PfFZLuFo91xMkSoSR3rx1WfNxjTGJxM1q0DYdqUQBhjnjHyW9M6AxMWAt1mHHz7sdE4xsEaE/etX0vfmS6SK5dQKL5H9q3gLkmUZfpaD/LeO4fpkFOYOn8hD00xkaSVUOHn+pdbONQxwqOSGukWuydlf58ym6/WRf8uoqSduBXlW8gmqaWIc6YD/1YGH9nXF545dNB07gztUd6VmZcH2nTUIeWZ4W9URwigQqUCQqHY63EL5L5WDr73Doc7ZFKmzmfhQ1MwJWmRVOC//iVbRmw4ABmvJ3xpmi76uVuVVgk2Zb8HX7Q4WBVFxyrldtWBKsr4+wI3y4luBhO3oqyK1tZKIzAgoo++8DSxo+kcZ6I3NnloSVeHiNbaIyGp1VH+VoU2Iez+Pg/+IMi+22nLW3Gbdih78YQvWtFFPeelQqtXo9wU6ouayEfzt3FhHGQbO7HoVcY3YFicO9MeRQ+ZKN2ImqjdyCjIXk/4whdd9DPOKq0SlMh+PGEnHvWZoSWMfXyIrQaT1A/dArWR2c/8iMTjBzl8qpZr7XWcaK/jxD5ILb6f5WseZU5utDPuEmp1lAZTaRlwbz/BsfQvo9r2+BL/eDcJ/bqkJrp6E8LBkw+PPwg3w30tWXMeIP/w51y/dJzLjunMNshYa4/TmlDFCyWRF0GND7H1sbcfUwzitvu+GG0XRr/DYkCoSR3rx1Wf3E48JUVp/8Ev9qOoRY0ueiA8cd8Nv804+PZjo/GMgyUS8+fxWH6cjwn+qrk7EuWAlbOfH6ZDhtxHX2DjkqxBgnmQT43dgyVtIhrAG/Thj+YTcuDWwWsURwoFg4xPmnlrpPBg7FMX8dimTVRM1Bg7ZgJYz37OYaXheGHjErIGWZRHPjXKsCChS9QAfoL+QFSdhgI+ZcZPk3AbHbmENlEDeAneuGl1GHJgfFOYuJHCwYFPTdFjm9g0jo0ty3KUOofwe8P7hrQJaFW325YTiKRDMZMg/kBUKyHgU+aFNQkTOPH11yYbAFJ4QsSHuugxNm2qYLy7EUmn9LH+oJ/oKgigqEBDQtiJR31mMBM4PoRrMEn90Cho0ylb+jRlS9fibG/g/Llqznx9mZ7W0+z4ox3px88zxzg8ZZCR5SgSh/wMuLcW1Vj6l1Fte3yJf7ybhH5dlomuXm94O72WhGFJotpYwYPT9rOl8QrHL1ipvM9L9Skz6fOeIv8Or0CNa0xx231fjLYbn1C3bRORIV+IYDC6/Y9vjDaBY7CkVdrKG8QXPRDm1moJReoyFGQEtYwvExgbCQSxcHecUfZbabUCpFI8JXKLZOg2xjpteoFyTkd20GWPPNkRcFnpi/KcSgp/uzLQPyzBlvE67HijPDPeaDOKMamAoGPgLOsQAtiunKemrh33Hcnz/FiVhiO1eErkFvhRG05LRpEJFSA7zDgjqhjAaXYgAypTMRkjnNEbHS3pBekAyI4uIs0ggMsazQomEW0GxUpj4xjhTGPAdoXzNXW0x9vY0c7hyF5s3W4AUvMz0Uu325YTiDaDIpMKkHGYnZG6CTgxO2RAhak4I8oW0W+pbIqAZBQrPhZ0jHAeK2Djyvka6trdY1rx1mYUKf2U7MAc6cQEnGYUFZgoDjvx4Ge6ozwj+6xcuXiRpm7vhI4P4RpMUj80MrLfSXeXNfwZMg2pBRUsWrORn/xiI/enAb5Gqluj91HRzkDLXhuKe6eSn6lHGkv/Mti2u6PYtuzDeuUiF5u68Y5D9xD/eDcZ/bo7iiwyXls3inrzyRx+8aOUyvQF5SQCHSeraWs5xVlnPgtmZ97xlYlxjSnGoe+LyXZjqNcgocZoEyqk8EfBA/3DEmzZi8MePeIb3xhtAsdgbTqKWmQcXfbIM84BF9HVIoW/lR6gf1iCLXsdjKCW8WUiYyOBIAbujkRZ0pOkBfBiH97ZBJx02cd+mlZKmcbcKRJg5WKdZWgHIbtoqWmL6niS3kCaDugz0+UaVH7QRsO5zjHLEw9S6nTmT9MCFmrrrZEDiqeJ/Z9uYWe1/bZXuFVSeHtu6MbqYwDbxQN8trea7hHvyJHQKw2H1z68Awvg7LKPcv5DwlA2n1It0HOReuvwtrfSUNcDaJl2//QhlzHEh0TKtLkoZnCROsvQCsmuFmra4ruVYWz6upWIqUyfPw0tYKmtZ7gqkD007f+ULTurscfb2D0XuTTskgvZdYVz7TKQRsXMHHRjaMtx18FISAbK5pcql6JcjNRNwNqAYibTuH966vh3aiopvP0ydHN1KWC7yIHP9lLdkzjOsqmQwtsRQwOFcfHAZ+yt7h7DRWoSqdPno3QjtZE+hoynaT+fbtlJddyGFS7BUMZ8xYm5GNFPBbA21KGo4H6mh514yDMNw5+R8TR+wcef7KDaJo9hfIhXh5PVD41MoPs4m3//KecdQwM9KaWIGcUJ3NwqGIWei5eGXRQk47pyDsW9K5iZoxtb/zLE7xoinpE9jXzx8SfsqLYhj4NO4h/vxr9fj6SHi5eGXXInu7hyrh1FvTPJiXKENnHKAmanAb0n2bHzPIGpCylPi/9D5ePdx45rTDEO/XJMthsXY7UJCb0hDSXk62JoyNfASCHf+MZotxtP3erVKUybOwVFLXUMVYuMq6WG6GrRY1ACYcxdgy8ZDGJrOMekRMITGRsNIxZ/Czha+PrYSS5ZxvsoleBu5e5IlPW5zKpIA3zU7zvAhd6wRQZdNB/ZxfEegBB+jwOb3YHTbsPu9ipGKntx2W3Y7K7oZ8fURmaufIg8FfQc3sLe2vDsd8BBy7Ed7O9MiH7+RZ9HVYkO6OTQ7iNcau/G0nmF07u2cpoMlPsGPDhsNpz9N7qPAP3OSNmc3iBysB+nzYErLGTQ68Juc+GTZQJ9DmwOd1j+IH1OOzanF1kyULFmFWUJYP5yG182Dszayt4uqnd+Rq03nyUPT+fGt9kD/U5sdnd4hl/G61LeFURW9OfwKFsdQwH6HDbs7vCHpRIyyEwEPD3YfTLIbppPHuNMgx15xL1PenJnVZAG+Or3ceBCbzgIDeJqPsIupeEI+T04bL309vZic3jwy0AoSJ/DhkM1nZUrppNAN4d2HOGqJ9yIsofWozs5ZAb99BWsqjSEjXVkHSP78ThsODzK9slQoA+HzY7bL6M2zmTlQ3mo6OHwlr3UdivPBxwtHNuxn85b3ZYThVvqS+7HabPj9t44j+nCbnOiiOjBYXPgURpBaXu7G78sYahYwyqlsdn2ZePAypbspat6J5/Veslf8jDTU+J02wSZs9u/GFTnZo5s202TH1JmrmJJgS7OtlR0eisd+L1js8MRtI2hcjUrpidA9yF2HLnKgJm0cnTnIczomb5iFZWGm44QpQ1s2F1jGNykBDKUitJj9yEj424+ybEzDdhldfyy3bowEjIyUdRqR1FrMyePnaHBLiOPwb8lQwVrVpWRgJkvt31J44Bh4e2qZudntXjzl/Dw9JRRBwTZ68Rmc+BRnJhgnwObQ8X0lStQVLCDI1c9YR3LeFqPslNxYlasqhy4yEgyULlaecZ86DOO3nwGfD21fLHnEoGCJTw0NTHO8UHxpRF1aPPT74jsP1yaMlZNQj90S4IdHDlUR++gQNDfc4kzTf2gm8bc4uhbDhPks2z/opZuZWDD0XyEbbub8JPCzFVLKNABjKV/GeR35kN8dnTAtvH1UPvFHi4FCljy0FQS5QCe4Xq1WejqsmAbPlbb7Dictkg7dmkoWxXfeBdrvx7sd2K3OfCMmjfLeJ22gXGKBOSz2/liUNzQfGQbu5XOk1VLCiIvRgLQ5TLv/mzAj9Whp3zhtDFNsIx7HzuGmOIW0sXd9w3tP2K13SjtEgrSZ7fQed1M7zD7cuvKeWwMY70+rwol5DvE7iOXaO+20HnlNLu2noYMNRAi4HFgszm5GfKNqz7jG4MdTntk+9vsN2PMoagxzlzJQ0ogzJa9g3Tecowd+ztHuDBQT15VCYpadnPkUjvdlk6unN7FgFoU37c5+8OJ9DjHwWPouyYsDg72Uv3Ju+z4Yjcfbz5ER7yXsgv+KlH96le/moxTBqPj6+L0jk/YXduDjESiIRW1z0dS2VJmOw6wryXcM6mLmJFyjTr7sOdVU3j2H1+kKmosEcR5+SBbth2hxYNy8UooiLZwEeuWBtn70Qnsuav5+SsLSB/UmQV6a/jsg22c67k5xU5G1Rqeqmpm88cXwjftgWnZa/z9shzwd7D/d29xpHdo6ablP+blsvO89dZhhv4qjzW/eIGcw/+Ht8+4hj6Uu4afv/IA6RL4LOfZv2MPJ1vd6I3ZZCTIOLst9KWVs2ztEywuuRHg+unY/zveihSAH7/2APatr7P54tC9MlLpc/yPTRWAj86jH/L2vhZ8KVnk6J109iQw+9kXWVuVdovLNHx0nd7BJ7tr6ZFBSjSQqvbhSypj6WwHB/a1hDtPNVnGIN22YY+blvPj1x5EdWEf2/ecoq0/GVNOKji76HEnUjR/JWsfm03WjQHzFjp+7QE7W1/fzNAqSpQ+90vlXEvQyeWDW9h2pAXFDCRCQS2Fi9axNLiXj07YyV39c15ZkB7DDNLI+lpjOsWbbx0Z1tYmlv/4NR6wb+X1zReHbt2XSnnul+HzTT4L5/fvYM/JVtx6I9kZCcjObix9aZQvW8sTi0tiGHAV+hs/5fUPLuArWc/3Z9SzfU8dNpUEsgyoyZr9OBsenzfoUxGxtqWGe57/BzaWq0fQwfeZ3/kB/zEmO7yVyrs5t287e0610Z9sQjGTHtyJRcxfuZbHZmcxYCb7+V1EG4BqyrP844tVcZ/T9XUe5cO399HiSyErR4+zs4eE2c/y4toq0tTxyRZDYRz98G32tfhIycpB7+ykJ2E2z764BtOpN8fs35bz+9mx5yStbj3G7AwSZCfdlj7Sypex9onFlIxqWDK9J3/Pb3YPX0dQbPtB1QX2bd/DqbZ+kk05pOKkq8dNYtF8Vq59jNlZkRrwdZ+7+UySKYc0yYOl20nitIdY99R3mHZDpljHB809PP8PGylXj6DD71VR/8fNnO8fKoe+YiO/eG4KrnOT0A9F06yzib/sOcCZuus41alkZqaiDbiwdDsImcpZtnYti6YM/mRMP42fvs4HF3yUrP8+M+q3s6fOxoB7ZzH78Q08Pm/Yp43G0r8Mtu0kEzlpEh5LN87EaTy07im+My0Fqb+JLa+/H6FX6YY8Q0igdCpcaY5oBDb+4jmmuGMd78LE0K8rJDP3Bz9jXcktDgrLvZz8/W+4aeJSCeu/P4P67Xuos6mQkFHUO5vHNzzOvOyRvVq2neHdNz7jqmERL/94xaCkLx5GGmdur4+NPaaIRcRY+77h/YcUu+0Ob5cbKHdiDkFfsZFfPJNLWwxj/csLBn1alAC9NZ/xwbZzDIR8GVSteYqq5s18fOFmxMey115jWc7A3ujx02fs8VTRjBSuRQbCTHn2H3kxeiBM0HmZg1u2cUQJhFFLIYLaQhatW0pw70ecsOey+uevsGBoIEzNZx+w7VwPA2qpYs1TVTRv/pgBtSzjtdeWkROamDg49r5rAuNg2cG5D3/LtkY/5D7Cj3+4lOw7fZ5CMOHcPYkyoJz96aCt045XlUh6XiE5hnG8ACfgwdzWhsUtk5CRT1GOAbl1O2+8U4276Gl++dIsUoY/E+yjp70NsztEUmYRhVmJcdzAOJ7IeHs7aDPb6Q9qSDHlkZ+VOs4Xy8j4bB20dtjwqpLILCwiJyW2XkD22uho68TuVZGYnkdhjiF+2WQv1uttmB1e0BvILswnY/j5r3Eg4DHT1mbBLSeQkV9EjkGmdfsbvFPtpujpX/LSrAgrGEngMetr1Dd7e+loM2PvD6JJMZGXn0VqnAodSJQ38MsfVKLvs9B+zYxT1mPMLSLPqIvqW/G15cTpYMQSvVaut5lRzCSbwvwMJsBMIsv12eho7cDmVZGUWUhRTkrEmcNxk032YetopcPmRZWUSWFRDuOiVtlLb0cbZns/QU0Kprx8slLH85IxGa/1Om1mB170GLILyc8Y7ZzhwDP96DHmFJKXHu2ZOMeHsepwkvqhqARcdHd00uP0ElTpSM3MIz8r0s6GJMobfskPKvX0Wdq5ZnYi643kFuVh1DSkAoEAACAASURBVI0s81j6l5u23Q96Yw6FeekT6Hfxj3eR/fo42nWwD0v7NcxOGb0xl6I8I7dQr4K3hR2/fY/rD77GDxdn3cb55InqY8c3phh73xeMy3bjIdImQlzf+6/8x1fREuWwNH09tLeZcYeSyCwqJCsx1ohv/PQ5LvHUiATwmNtos7iREzLIL8rBILey/Y13qHYX8fQvXyIyBArS19NOm9lNKCmTosIsYlbLODMesdEoJdzS32RfL21XbSQUTiE78e7YlCuYWO6yRHliCDquUNOs4Z6ZxcNmy2Vsp//A6zvbSVv0Mj9ZMcI2KsE3gCCOKzU0a+5hZvGw2V3Zxuk/vM7O9jQWvfwTVoxt6v+uY3iiLO6KFAi+KQxPlIV33214Gj7lt5+6WfHTTcxNEwH13YGPtlES5W8sQQdXaprR3DOT4mHbRmTbaf7w+k7a0xbx8k/GuvtBIPhm8q3ovQPW8+zfvpMz5mEXO/S3ceqrdlDlMX9OjkiSv9EEsJ7fz/adZzAPu8iiv+0UihnMZ07cl4cIBAKB4NtO/5XdfLCjDqcMBK1cONKA6t5F3DsRt78JBPESsHJ+/3Z2njEPu9S2n7ZTX9GOirz5c6JeTicQfJv5duyuV0moZDMH3/4j3fdVUGjUIbvNNNVU09Sbzqz1G1goDhp841FJKmTzQd7+Yzf3VRRi1Mm4zU3UVDfRmz6L9RsWfiPOm8jOOnZtOUKH06Kco792gPf//STZD6xn7exv0Qy6QPCNQ8ZZt4stRzpwWpTDgdcOvM+/n8zmgfVrmZ0uvPtOIXs6afq6lq2qdnL6LnGqI49HnywlSeTJdwXe1v188sUVHFblXG/X0f/kj7XpVDz+FItzvw3ZoQpJJWM++DZ/7L6PikIjOtmNuamG6qZe0metZ8PC7G9JUiAQxM63Yus1BHB1NFJX38L17l6c/QFU2mTSc0uomDOTEuPkf91UcAcIuOhorKO+5TrdvU76Ayq0yenkllQwZ2YJ3xQzkL1d1J1rVlY2biKRXDyTyvzEb8c2EoHgG4mMt6uOc83Oobe3S8kUz6wkX5yZu2P4LTUcPlZPl8NLKDGLsgeWMq8oSfS3dwmB3gbODv+Ek0pPzoxZTDV8OyaYAq4OGuvqabneTa+zn4BKS3J6LiUVc5hZYoz6rWuB4NvOtyRRFggEAoFAIBAIBAKBIDbEZKdAIBAIBAKBQCAQCASDEImyQCAQCAQCgUAgEAgEgxCJskAgEAgEAoFAIBAIBIMQibJAIBAIBAKBQCAQCASDEImyQCAQCAQCgUAgEAgEgxCJskAgEAgEAoFAIBAIBIMQibJAIBAIBAKBQCAQCASDEImyQCAQCAQCgUAgEAgEg9DcaQH+avF1c/7gAS7nrebpWWk3fyz7nXS1NNF8rYPuXideWUOCIZPC6RVUTs1EH2VqQu630FLfwJU2Mza3H5U+hYzcEspnlpGXpB5WbjtfbjuBev5jLCpNRR35uslHdtF2sYHOfjnqr1WSloSUDHKL8jElTr7Ecu9J/v03u+kI/1s99Tn+4YUKkiZdkjB9l9j8Lx9z2R/+d95qfv7yAtInZNqqj0ub/4WPBwpj9c9fZsF4FNbfxNY33qfGE/636SF+9OrD5Glv/9UxCkDT1jd4f0AAHvrRqzw8eQIIYqC/aStvvF/DgJn8iFcfzkO0kkAgEAgEgrsZ9bJly351p4X4a0N2X2H/++9ywDaN5Q+VYwpnv96ru3nr//yJwzUNWNWZ5OVmYtAH6W08xdGvvuJMq4rie4tJ06rCL3Jyed+HvP3RPk5ftqHLyiMn04C2v5MLRw9z5NgFelKmMj0/eSAhVieQ7LvE53/aT4t+GuWFKXc+WQ70UnvwAKcvN3Hh7HkuNTTQYrZi6Winvb2N1qaLnDl9ihNHT3HZkUxhSQ4pGtWYipK9FhovNtDeGyI1IxVtDK9R6TO5d+79zM23cq6uB9lYwaI52XcuUFenMW3Ofcyb6qOutgNfyj0snFdI4oQkymrSps3hvnlT8dXV0uFL4Z6F8yiMtTDZi6XxIg3tvYRSM0gdrHDJwJRZ85hXpqbx3DX6Eoq5f34pqZNmkBKGKbOYN68MdeM5rvUlUHz/fEonT4C7GBmvpZGLDe30hlLJSNUyNo+LsbRb+KVkmMKsefMoUzdy7lofCcX3M/9umeQTCAQCgUAgGAGxohwvAQun//QRR3vL2PDaY5SlDiQccl8vNlki7+GXefGhPHQ3frHsQU5tfpNdzQf508Gp/GRNMXoA2UNb/VXculIef+VvmJ85kLp9Z+ExPvj9F5z/bDMJpld5vCQx/BsdWfPW8bf97/LWns3sTHuF9TNS7+weem0Oi773Kou8V9j2+nuc60umav3LrC3Rh/9Axttdy56PtlL99Xbedqt49bk5GMcQKYfcjezfuocuwwJeKs0jSTf6M0h6Uo16tBbt3XHWQNKSnGZE69RPgjwS2uQ0jFpn1N0MoxJy07h/K3u6DCx4qZS8wQqXNCQZjOj6J6Me0ZDQJBkw6vrHVrdvNCHcjfvZuqcLw4KXKM1LIhZXGXNpt/BLSZOEwaijXzSSQCAQCASCvyJE5BIXQWy1n7OvOUjRw49QbohUn0o7lcXz8oYGpRoTlQ+UoAUclxvo8Q95gtRZy5iVOXR9U5czj+9UJgJ2zn519ea2RQUt2fevYoHRSc2uAzT3Rd/yfPcgoc+axcon55IM9Ncf5HiH704LJRAIBAKBQCAQCARRESvK8eDvpvpwE36phPvuNUZsHUws+xv++38HdZSVUkmnRw345SBy6MYPDVSseIairFz0EU9oSctJBfrwWy24A5A0uLV0ucyebeLYoRr+UreMqfOMccx6yPg9Dmy9DjyyjlRTJhlJE28KCdnTyFJV4w7ZudrpQS7UDZL5zsg0gIzXZqHb0Y8qwUBmpnGUVcp45Q3gtpjp8cgkpmdjSo1jfS/YR6+lB4dXRaIxk0zD6Cu4AbcFc48HOTGdbFPqhK4mRiD7cFjM2HxajNlZGHS3kHYMdYtBAHwOC2abD60xmyyDbsR3yn4PDlsvDo+MLtVEZkbSJHaK8drc4Efj0PFEynE7pfocWMw2fFoj2VkGbm0mvVh6HHhViRgzMzHc6dVp2Y/HYaPX4UHWpWLKzODW7u/GYu7BIyeSnm0iNab2ulvsQyAQCASCbyciUY6DgLWO2h4gazoFSVECD0ka4dydj57mdvqB5NJ7yLyRtUiJ5NxbRU7UZ2QC3oDyZ0mpJEQUp8E4tZjkQz1cO9eCa84coixwD3ulh6tffcHBMxdosQZISDWgDThx9oVILVnAyicepipzAlOqUIgbcwQqlRSfTLKNM+++ya7WfmQAxwn+8E+nwgmQjqI1P+KF+9PHkGQFsDccYffeo9T3BElMTSbkdtKvzqR88UrWLLkHw2AviVuHMp7Wr9i5/SAXewI3ak9a2cOse2CUnQABG/V/2c3eYw1YQ0mkJsm4nP1oM8tZvPpxlkyLPOcpe1r5aud2Dl7s4WZpaWU8vO4B4tt3IGM78y5v7mpFuaPNwYk//BOnwgrWFa3hRy/cP+wCshC+jq/4z//aR531RmmpTH9kA88sLh56BnsMdYuFkK+Dr/7zv9hXZ71Z39Tpj7DhmcUU3xRAxnP1K744eIYLLVYCCakYtAGczj5CqSUsWPkED1dlorGd5t03d3Nt8OaHxHv57k+/y72JyiVVv/uwFlfYqNVZS3jxpYfJH9WF4rA5bzOfvbmZartSG03Od/j+ah3HbqFj2XaGd9/cRWv4cj3HiT/wTwMNx5ofvcD96VJ8cozEWPwy5KPjq//kv/bVMVCF6Tyy4RkWFycy1Ezq+cvuvRxrsBJKSiVJduHs15JZvpjVjy9hWgzn0T11H/LbTxvx3vyJiuSK5/nxs/eQCMi2aj54axc99z7Pq+unkwjgvcqut97njC0soLaAlT/6AfMT2vjqi4OcudCCNZBAqkFLwOmkL5RKyYKVPPFwFUPd30PrVzvZfvAiA+6fRtnD61jo28tHR7sJAkjp3L/pFdYU6+NrlzHYh0AgEAgEgtgQiXLMyLjbGukBdKYsUmLVnN/B1a+/YNuRXtR5D/L0IyUkxFScm/bmXkBDydypJEcJcLTGfAxU4+5soMs7B0Ni5N8MfaeLlq/P0hKax4afraIyQwcEcDYfZcuHB/nTez4SX32CadEmAcaBvs7LdIcA0inNS1AC4phlSqH8ie+T3XOBbR8fw5pUxbrvLiRLDaBCZxzLOe0gtvP/xR+21OLKXsjzv3iUcqMG/L1cOvAxn3y5mXbLM7z01MyB89Rx6tDfdYwP391PWzCNytVPs2JuEckBM5eOfM6OPa5hW+oHi2ajZtt/sPWCh9xF3+O/PVxGmgZ81lo+/+BPHHzfjGvTD1ldmjRQb38Xxz58l/1tQdIqV/P0irkUJQcwXzrC5zv24BqxsGhIpJQ/wfeze7iw7WOOWZOoWvddFioKR6Uzkjpc4d6r7N8ukzn/GTblJdJ3/Sx/3ldD44FtHC59jRUFurHXLSa8XN2/HTlzPs9syiOx7zpn/7yPmsYDbDtcymsrCsIr6zKulq852xJi3oafsaoyAx0QcDZzdMuHHPzTe/gSX+WJKeU8/n0jl3Z/yJ/bZTIXPc+6mVlkhrd/6AqW8TcvTOfEp1tpvvdZnp1fTOao/UKcNqfNZ8l3X2R2z1m2fHoKu72RL7aHyF7wHD/IT6D/+ln27zk7RMdSSjlPfD+bngvb+PiYlaSqdXx3YZYy8aDSYUyV4pdjJKT4/dJ7dT/b5UzmP7OJvMQ+rp/9M/tqGjmw7TClr61gwExq2PYfW7ngyWXR9/4bD5elocGHtfZzPvjTQd43u9j0w9WUjtJfJZSs4G83FvP55v20hfJ5eOMa7skwhXfxyDiaqmnpCyBfOktb33TuSQS0uSx67gVKzmxhy5UKnntqDoUGNbK1ha/PthCat4GfrapEcX8nzUe38OHBP/GeL5FXn5iGIpKfrmMf8u7+NoJplax+egVzi5IJmC9x5PMd7Ha58csypsXPs77CSGqmdlLsQyAQCAQCQWyI+eWY8WPvcACQYEgadbWrr/5TfvPP/y//z//8F97+/CrpS57n719aybSU2FTu76rmq2shyF7MYxWGqA0l6VOVhN3bg6UvGMNb1SRl5DNn1aPMyLgRMGlInbqYNUtM4DjLoXpXnCuPsSDjuX6anduVT8QkVz7KA7k3yo9VJg3JWQXkZxuU26o1yWTmFVJYWEhhYQHZMc9cDJLKVc+eXbU4MbH0qUeUgBRAm075I0+x1ATO2l3sHaKTOHQo26ndc5C2IBgf3MC6BVNI00loknKpevQZlqc58A8XKqwvV/0edl1wgWkp65criSSALqOKlU/MJRkrp3adwOwfeMZeu4eDSmFsWLeAKWk6JE0SuVWP8szyNBzRCxsRTXIWBfnZGBSFk5yZF9Z3IQXZKZGzbB4zScuf58kHKyktKaVy0eM8OS8F6OVSfU+4rmOpW6x4MCct5/knH6SytITSykU8/uQ8UoDeS/VD7gZQJ2WQP2cVj87IuLktXZM6lcVrlmDCwdlD9bikFLILSrlvSRl6wNJoRp9lurkqJyVkkME1rnjyWLCwnKKcW28fhjHYnKQnPbeA/KxUxe49ZpKXf5fHF5RTUlRC+YLVPDFcx5pksgryyVYaDk1yJnnhdissyCZFM1bbj0b8fukxJ7H8+Sd5sLKUktJKFj3+JEoVLlF/o5FkF/V7dqGYyXqWl6WF7U1HRtVKnpibDNZT7DphHsGHBpASMymYOov7iyUIddPmSycnI7xyLTu5cq5NqWN/EzXX+8IP6UnPSsLR5iZzzlymFyp6Q51ERv4cVj06gwH3T2Xq4jUo7n+IepeiMdley56DbQQx8uCGdSyYkoZO0pCUW8WjzywnLeyQWkMO+QW5GPXS5NiHQCAQCASCmBCJcszI9Dn6AdAmjn57sq5gCWufeZYNT69m6cwU2o98zFvv7uFib2CUJwFfB199dhiLppjHnllM3kiLACodiVqAfhyeGBJljYn5G19h/b3DV+o0pGQZUSNjuToewZSbc5/+jl//+tf8+te/5n//f/+Tf/79Ti44U5iy4BleXFc5sE180mQajozr8gka+oGMSmYMu0wNrYkZlRlAP/Unm3DdyBbikFd2NfF1SxAwUlmVPfScsGRg2tzC6HYku2g80YAXMFXNYLhoCXnlFGqBnvPU3djPKbto+rqFIGCsrCJ7aGEYps2lcKK9XVfC3NLBK4h6TMXpALgtLmUr+FjqFrsAlMwtHbLSrTcVk64IgOvm6zSY5m/klfX3MnwxUpOShVENsuVqOLGWSC5dSFUKYD7NmSGX0HloOV5Lf/ECqjJimagZo80NqWIJc4bpOHNKBioG6Xgy5LgNdCVzKR3aSChm4sYSbiTZ1ciJBi9gompG5rBPuSWQV16IYiZ1xGQmUgqlc4qR8NNy7irhdBjZeYVzXWnMnJ0B9NF47jr94d8FbQ3UWNKZeW/6zUkhjWk+G19Zz72RhkOWYjhc7fEDMq6mr1Hcv5KqoQ6JZJjG3AiHvFvsQyAQCAQCAYit13EQIuBTklGVevSMQ52Sx9QU5f9nzLqP2cUf8tau43zygYq/e2UlxZG3dykEHVzc/RF/vp7O/O89x4M5t9gqp5JQRAniDYRG/rvB+Kw0nDlOdf01zDY3voBMCAj5XQSBQL9/HFaUdRTdv4z7buxDVWnQp6STm58d/VKZSZFpOH56rnYjA5Ihm7SIjyprMWQbkLAid1/F6p+N4UabxSiv39qGNQRIRvKMke2oM5hIphlnhGhWrlrCNXY3c/Z029DfB3vDwbyNa1Yf5GrAb6VNKQxjnjHy8i6dAVMyNEcUNo4kmUgd1qNo9AlogGAgPJEzlrrFLgCmSAFIUARg6FSSD2vDGY5X13PNbMPtCyiX7IX8uJRGxH/D6PQFzJ9n4sxfejh3ooXvFJWRBMiOBo43wj3PlI1+P4BS+bHb3M0qRupYHb4o8KaOJ0OO2yDJlDps4NGgVxqJATO5yoCZnCXSTMLprO0asZmJRMrU2RRJLVxtPkeru4IZyTLOK2fpTJnJYwvVdJw7iKWxhuv90yhNCGK7XIPFWMW9wyZBfNYGzhyvpv6aGZvbR0AxHPyK4dDvlwE/1jYrivvnEen+OgwRDnm32IdAIBAIBAIQiXIcqJA0KgBCcoxJ6U00ZM56iJmHrvB1z2mOXFnK92YkRf5Z0En9nvf49JyW+59/gVVlKaOsXMvhG7QlNGrVqFLIfa0cfO8dDnfIpEydz8KHpmBK0iKpwH/9S7Yc6oizXiOhJWNqBTNLRo+uJ0+miJLxepR1arVOSzTtqbRKgCn7Pfjk+OWV/X3KCo5ahzbq3vkRdibIPvrCS+iOpnOcaY8iXWYeeWhJV4eUwFr206cUhi56YdFlGE9UaqThoqpUqIDQDZcZS91iFwB1pACohggAyH20HnyPdw53IKdMZf7Ch5hiSkKrNCJfbjnEUKvTkjXnAfIPf871S8e57JjObIOMtfY4rQlVvFASxZejMjabG/oHMeh4MuS4DVRqKaJMldJIDJhJX3gXiYOmc2eIbiZ5oE1HHYrNSqTUUmYXSlxtbeZcq4cZ9wa4craTlIpV5GRJzMw8yEHLZWqueymd4ubyOQvGmeUM5Mkyfa0Hee+dw3TIKUydv5CHpphI0kqo8HP9yy0MuL+MX3FI1Lrofi5FOOTdYh8CgUAgEAhAJMpxIKFP0gF9BH2B+Fc4tRkUGOBrlx9Lhx2GJ8pBJ/V73uU/T4e477svsLrcMPqtv3IAXwBAS/Kon/8IYD37OYc7ZMh9lBc2LiFrUOt75FN3YB/+nZRJQpeoAfwE/QGixZChgE9ZhdQkhJPM+OSVtIloAG/Qhz9aAfIIdiRplVVQn5qixzaxqSKGREzSkqgUhi96YQTuhs9tj6Vu40zAepbPD3cgk8ujL2xkydBGvHmz92DUxgoenLafLY1XOH7BSuV9XqpPmUmf9xT5Ma+2jsXmJoK7RY6RkbTKTgSfuojHNm1iXMxESmXanEKk1launGvFVdDPuc4UKlZlotWoKK/K5OCXFi6fv44nrYtzFiMzyzMGBsmAlbOfH0Zx/xfYuCRr0ADqQR5iOBJaxSEJ+vxRdSxHOOTd3y4CgUAgEHybEENtzKgx5KQC0O/sj0xwZCd1n73HpyfN0c+BhQKEd26jkoapPeikfs87fHw6xLxhSXLAcpa9O4/Q7iWSQB9OH6BOI3P4frsI/FhbrQCkFk+5eYHSgHx3Iou6kzJpySgyoQJkhxlnRKMFcJodyIDKVEyGNn55tekFyvlY2UGXPfKUdcBlvXlWcuiDGRSbVEAQxwjnCgO2K5yvqaPdfePzNekUKIXh6LJHnukOuLBGLWySGUvdxhm/tRUrQGoxUyIbcYTJi1SmLygnEeg4WU1byynOOvNZMDszjtnGsdjcRHC3yHELCTOKUczEcfPc8lAC2K6cp6aundjNRCK1dDYFEviaz1Jfd5aO5BlUZGoBDaYZlZgAd8M5Gi6ew2Ksonzwtmu/FcX9UymekhbR7kPdX0u64pDIji4i3T+AK8Ih7/52EQgEAoHg24RIlGNGQ2pBIclAf09v+NuygwngbL/CxZpWnFGOggUdzVyyACRRNMU46BdOLn3+Dh+fJupKctB1lZrqBnqjvNPn6FTOt2ZMHXZ5UzQk9ElKZOW1D09QAji77EQUIffRcf4rvqppxzMhOUv8MqkktWK0ITm84hLAdvEAn+2tpjuuG78kDGXzKdUCPReptw6LSgNWGup6AC3T7p8eviAqPnmllGnMnSIBVi7WWYYmr7KLlpq26JMqUirT509DC1hq6xkuGrKHpv2fsmVnNfYby05SCtPmTkECrBfrsAwtDFdLDW1jucnn5jn4EDdOHARsFznw2V6q41N4WM4x1G2ckfRJyuVQXjvDc7CAswv7CEc5E6csYHYa0HuSHTvPE5i6kPK0eL72PBabGysqpPBdCqGBhuPigc/YW91D4jjLMX5+qSClTmf+NC1gobbeGuEnsqeJ/Z9uYWe1PerK64jvNUxjToEKvPXsO9BKckXlzQvlNKYZVJkAdw1fHOoirWrwtmtA0qO4vxd7pOHQNcRwJFKmzUVx/4vUDXVIZFcLNREOOZn2AXJfB+e/+oqads8E3AEhEAgEAsFfPyJRjgN9TiXTEoGeK5ijrfACobYv2H74Co5BMU7Afpkvt3zO1SDopz/M0qLwXk3ZSf3n7/Dx6R5CiRrMX23hvbff5u1B/23+vH6EFRMZz/VW7IBpxj0YR13W0pM7q4I0wFe/jwMXesOJWxBX8xF2He9R5Pd7cNjsuP0y/Vd28u6Wvezd+i47Gm71Ed4AfQ4bNrsHX0iRzed2YLPZcHhutU09fpmkhAwyEwFPD3afDLKb5pPHONNgRx7pmLbsxWmz4fAol2yFgn04bDbc+nJWr5hOAt0c2nGEqzdmA2QPrUd3csgM+ukrWFV54/NcccorG5i58iHyVNBzeAt7a7vxykDAQcuxHezvTFAmRYL9OO2KrhQkDBVrWFWWAOYv2fZl48Dqkuylq3onn9V6yV/yMNNvfm5MjXHmSh5SCmPL3lq6lcJwtBxjx/5OEpTC6HfasTk8sd2AKyWQoSicHrsPGRl380mOnWnALsv0O23Y3d7w57C8uOw2nN4gyH48DqVOISAU6Au3IWOo28gE+p3Y7G5Fr8h4XXZsTi9BZPweh1JPRQD6HDbsbj/63FlUKI3IvgMX6A3nMEFXM0d2HadHaUQ84b+/iS6XefdnA36sDj3lC6fFnaxIhso4bS4wBh0rZ3YTMjJRXMWO4irNnDx2hga7jDpuOUap1638Uu7HabPj9oY/m+R1Ybc5UargwWFz4FEaiUCfA5vdjR8DFWtWoZjJNr5sdDJgJl1U7/yMWm8+Sx6eToxf3LvRAEybXYCKEP2+NCoqBt2orTExoyoDkPEEMqgqNw1dNdbnMksxHOr3HeDCgOHQfGQXivuHFLuzu5ENM1n5UB4qeji8ZS+13UobBhwtHNuxn86EyEmWybOPfq7sfJcte/ey9d0d3LJ7FwgEAoHgW4rqV7/6lbjiI2Z8XN//Jr8/4qHqez/j2bKkIb8zn/uSPx+voaHDhaxJxZSZgi7gwmJx4lenM23BI6xeVkXmjdXf/kY+ff0DLvRHK2swxTz7f/0dVYOLC/Zy6p3fsqu9gDU//QEPZMSysuWj6/QOPtldS48MUqKBVLUPX1IZS2c7OLCvJbwiquGe5/+BZxMP8K9vn8ZBCnM3/ZR1pQkjvPYau3/7B05GuVE5ofJv+cWG6YzwZNwybSxX03n0Q97e14IvJYscvZPOngRmP/sia6vSop7rlntP8vvf7KZz2M9Ny3/Ma98x0ntuH9v3nKKtPxlTTio4u+hxJ1I0fyVrH5tN1pDV+njl1eG8fJAt247Q4kG5bCcURFu4iHVLg+z96AT28JuT5/6Af1xXMqgoC+f372DPyVbceiPZGQnIzm4sfWmUL1vLE4tLIpKEoPMyB7ds44hSGGopRFBbyKJ1Swnu/YgTA4Xxg5+tI4b71vB1HuXDt/fR4kshK0ePs7OHhNnP8uIaE6fefIsjvVH0+oCdra9v5uKQCSWJ0ud+qZxLHkPdIvHTsf93vBUpAD9+7QHsW19n81ABkEqf439sqsDXdZodn+ymVmlEDKlqfL4kypbOxnFgn/JZH0Bzz/P83xvLbz4v287w7hufcdWwiJd/vIKCUXdyRMNHd6w25+9g/+/GquNOjn74NvtafKRk5aB3dtKTMJtnX1xLVZo6PjliqNNIfrnGdIo33zrC0CqYWP7j13jAvpXXN19kaBVKee6Xyrlkn+U8+3fs4WSrG70xm4wEGWe3hb60cpatfYLFJaNdeBiJ3HuKP76xbzWxawAAIABJREFUi7a0xbzyk8fIH7SF2d/5Z/7tzb9gNS3jtdeWkTN8AtLXxekdn7C7tgcZiURDKmqfj6Sypcx2HGDfgOHw/D9spFzn5PLBLWw70oLi/hKhoJbCRetYGtzLRyfs5K7+Oa8sSB9Uj8mwDzVXd/4rb592QMpcNv10HSN17wKBQCAQfFsRiXKcyO7L7Pi3zdQYHuXVv1tCdpSV3GC/je7ObnrdXmRJR6Ihk7ycDOWypfGRgr7m3fzbu6dJ+M4r/HB5fuTngG71tNdGR1sndq+KxPQ8CnMMI1wME8B1/SqdoWxKCoZ/0mV8iV0mABmfrYPWDhteVRKZhUXkpNymdLIX6/U2zA4v6A1kF+aToR85BI9PXiDgwdzWhsUtk5CRT9Fofz+krF462szY+4NoUkzk5WeReuvC8JjbaLO4kRMyyC/KwXCbN//IPhsdrR3YvCqSMgspykkZF3uIv27jiOzF1tFGp92LKjGdvMIY9ORtYcdv3+P6g6/xw8VZt6eDOG1ubGX4sHW00mHzokrKpLAohwhXGTc5JsAvw+/19nbQZrbTH9SQYsojPyv1Dl5mJeO1ddDWacerSiQ9r5Acwwg32IcJeMy0tVlwywlk5BeRY5Bp3f4G71S7KXr6l7w0KyVKMRNsHwEX1692EsouoWDUOy4EAoFAIPj2IRLluJHpv/YX3n/3L3jve54XVpbd9lmxePFZvmbr2ztoLVrLS8/OwyRiHIFgUvA0fMpvP3Wz4qebmJsmTq4IbkUQx5UamjX3MLN42Mq3bOP0H15nZ3sai17+CSvGtjVBIBAIBALBBCIivbiRSCh6iE0/XEP+lR1srXFMbvG+6xz+5CCeWd/lFZEkCwQTSv+V3Xywow6nDAStXDjSgOreRdw72bNjgr9CAljP72f7zjOYh12u1992iq/aQZU3nzk5IkkWCAQCgeBuRKRZY0JCn3s/T79aicM7yd/o0Jh4YNPfszxFJ2Y5BIIJRvZ00vR1LVtV7eT0XeJURx6PPllKknA+QQyoJBWy+SBv/7Gb+yoKMepk3OYmaqqb6E2fxfoNC6Me3xEIBAKBQHDnEVuvBQKBYAT8lhoOH6uny+EllJhF2QNLmVeUJCapBLERcNHRWEd9y3W6e530B1Rok9PJLalgzswSjOJbyAKBQCAQ3LWIRFkgEAgEAoFAIBAIBIJBiIURgUAgEAgEAoFAIBAIBiESZYFAIBAIBAKBQCAQCAYhEmWBQCAQCAQCgUAgEAgGIRJlgUAgEAgEAoFAIBAIBiESZYFAIBAIBAKBQCAQCAYhEmWBQCAQCAQCgUAgEAgGIRJlgUAgEAgEAoFAIBAIBiESZYFAIBAIBAKBQCAQCAYhEmWBQCAQCAQCgUAgEAgGobnTAvxVIPdy8t9/w+6O8L/VU3nuH16gImkCinK1cbGhk3452m9VSNoEUjJyKco3kage//K/NfQ3sfWN96nxhP9teogfvfowedpJE4CmrW/w/oAAPPSjV3l48gT4hiH0KRAIBAKBQCAYP0SiHAtSGrO/9wvK+lrZ/R9baQiECE1QUUF3KzUnq7H22bDY/YAOY2YaWhUQkvG6rDj6Q5BYwLwVa1k5Owf9mPYFyHgtTdS39aHLmU5ZXtJdu71A9lpoqm+jT5fD9LI8kmIVVPZiaaqnrU9HzvQy8gY/qJvCqld/wXd6TrH53aNY5Ylq0ZHQMWXVq/ziOz2c2vwuR63yhNnUN4mRbUHoUyAQCAQCgUAwfohEOSYk9KlG9FoL2gnOJrU5i/jeq4vwXtnG6++doy+5ivUvr6VEH/4D2Ut37R4+2lrN19vfxq16lefmGIl/cTmEu3E/W/d0YVjwEqV5SejGtyrjRsjdyP6te+gyLOCl0jySYhU05KZx/1b2dBlY8FIpeYMflDQkGYzo+vV3aIJAQpNkwKjrH+NEx7eTkW1B6FMgEAgEAoFAMH6IkPKvDUlP1qyVPDk3Gein/uBxOnx3WiiBQCAQCAQCgUAg+OYgVpRviyB9vWa6HUH0xiyy0iZrdTKB7GlZqKrdhOxX6fTIFOoGlSz78Ths9Do8yLpUTJkZJE1wSwf7ejF3OwjqjWRlpf31rurJPhwWMzafFmN2FgbdrSoSpK/XQo/DiyrRSGamYRzqLeNzWDDbfGiN/z97dxoc1XUuev/f3Wp1q6Vutbpb84CQhJCEQIjBTMIGjI2NbSBx8BASO359bMc5qTqnKrlV98Ott/LlVuXeuvcmJ3lvrpMTx3ESJ+fEsX3MZDBw8YCZFRASCAk0ItDUavWgbqmn3e+HbqA1AJIQU/L8qlxlpO69117PWlv72WvttTNINyXesE0pQR9u5yBun0Ki0YrNYriLHVrB77TT7x5BpTdhs5knf+xTquPbL+dk6xOi7dg+4MavSsJss2G61w15qn055MXeN4BPSSItw4pxUnX7oMRSCCGEEOLukUR5msKD9ez4/Q5q44ZzUwpX8tSWdZSb73y1RiJXn8BUoYpdmyq+Do58epDas+04QnqMJi0hj4fhiJHCZRt4el0ltkRQnLW8+9YuOmMrhrmPvc2PT8Q2kpjPxjdeZknaRBe8Cs7ad3lr1yWiR61nzrPbqGzdyY7abq7VREohK5/awrpyMwmE6D/8Dr/e300QQGNj5Xf+gfW5iYCfjt2/4vcnB1EA9HN47vsvUnZ1kTTFSe27b7GrcyT6e/cx3v7xiViik0j+xjd4eUnaBInP1XJ2xhZFc3Ps7R9z/RA38sbLSxh9iBEC3Uf49//YR6Pj6kpqRkoe3cqzqwpIGvXZEM6mL9i99zDNjggGowFlyMOI1kbZqid5qqYY4zQWWosEujny7//BvkYH10pQ8ihbn11FwbUCKPg6jvDpwVrOtjsI6Y2YtCE8nmEixkKWbXiadZU2Epwnefet3VyKn22QNJfnv/88c5NgpOVDfvHHBoZizUiTXsMrr64j55bT2kO4mg+xe+9XNA2ESTImE/F6GNHYKFu1gY01czBdbf7+Nna89R6nXNGjSch8hG8/mcjhSdXxGNNoC5Orz9hROZv4YvdeDjc7iBiMGJQhPCNabGWrePKpGoonEVBf4x/5+fsX8V/7iYrkihf43jfmkAQozlP84Ze7GJj7At/dUkISgL+DXb/8PbXOWAm1uWx44zss1XdNqi9frx8fnUd28vHBcwyEru4+ldJ1m1ke2MufvuonDKBOY8lLr7OxQMc9i6UQQgghxANAs2bNmh/d60I8MEIOzh09Q38wyGBHN/rFz/LN5zaxfkU5GeEr1Deco/68l7wFc7BoVbe1q/DgeY7W9RJKzGbhsrmMzr2H6fzqIGd6g5BWxZoV0cQsPFjHjh2niSzcyuuvfJ1Ha1ZSs2oxszTtHD50mHPefKrmWEjUppJXXEaRvoOGS8MYKjez7ZkaFldXU11VTp4lhYkHhlQkpOZRXF5O5uBZmh1+RhwddOsX8+w3n2PT+hWUZ4S5Ut/AufrzePMWMMeiQ2fOp6S8CF17PZ1eDdnVDzEnVQOoSbIVMnduOs6zzTgCRspXLSTj6kLFqgRS84opK9LT0XCJYUMlm7c9Q83iaqqrqyjPs5AyYUFj5SwrQt/RwKVhA5Wbt/FMzWKqq6upKs/DkhIdWVS8HZw80YZPHWGgpRfT0g08vnoJpRkRelsvcbm1nUjpIopNVxOlMM4zH/Hr90/Sm7qcF197iU1ra6hZuQCbq44vjhyjabiA+SVpTKoJKF46Tp6gzacmMtBCr2kpGx5fzZLSDCK9rVy63Ep7pJRFxabYc+hhBut2sON0hIVbX+eVrz9KzcoaVi2ehab9MIcOn8ObX0VphpW84tmk9NTT6lawrnieFx6bT3aqAa0K1IZMZs/JIXThHL75z/Li+nIyjDo0Ny1zGGf9f/D2n4/TbXyIF157mS3raqhZWUXWyDm+OHSEeoeVirmZ6NWA2kDG7LlUFKppOXsZnxLG3tKHedmTbHhkCWVZ0NPSSde4Op4opJNsC1OuTwg7z/DRr9/nZG8qy198jZc2raWmZiULbC7qvjjCsaZhCuaXkHaLgGpSsimabaS3vgVXJJu1255jTUUWqUlaVCi4zu5h79lBRpwKhYsrsGoBdRLphXPIp5XGkWqee/4RSqxGNK7J9eVokYL0fvUHfrO/Ba9xHk9+81s8t2k9K8pTsR//hKOX3Qz5wlhWPs+Ljy+mJMOEPkG5d7EUQgghhHgAyH3/afHiL9vMM8tmYU5Uk2DIovKxrWws1ICzlt2He7hjjw0rPq6c3MnHZ3xAMvPWP0TW1ZEljQFLzkKeWF+O5erPEozMXrWRGiu4T39O05ACCcmk5+aQYYpmpAnJNrLz8sjLyyMvN4OUmwyIJySnk5uXjSX2biqvv4zNzyxjljkRdYKBrMrH2LqxEA1OancfpicAWmMGuTkZmMa9qUeNLi2L3OwbveoqgeT0XHIyTGijO8eWHStnXi4ZNyloQnJ63D4TSLZlx76XR25GyvipFL4+DGtf4JkV8ygqLGLeyqd4ZlEKMMj5poHoaDigDDWxZ9dZhrCyestaSlNjW0q0ULnhaaqTwXFiF8f6gmP3cAs++gxreeGZFcwrKqRo3kqeemYRKcDg+SYG4janMVjIWfgE68stXA/zbFZtrMGKm9OfNzGkTiEjt4jFNaXoAPvFPnTp1msjfWq9BQuXaPVls2x5GfmZphvcHLkueuwNeLCy+muPUnb17o02jbJHv8ZqK3gadrG3aSg6gqvWkZaVS066MRo/Xx/Ja5/nqWVlFOYXUrbsSZ6eoI4nNtW2MMn6VIZo2rOLs0NgXb2FtaWpsbaRiKVyA09HA8quY323KB+ok2zkzl7AkgI1RPrpCqSRaUmKnmQVD611XdF6GWnhzJXh2Jd0pKUbcHd5sS2spiQv1v8m25cBxdXAnoNdhDGzYutmls1KJVGdgCGrkvXPriXVHS251pRJTm4WZp36HsdSCCGEEOL+J4nytKRRWZkxepVoTSpzFuaiAhz19fTNVKbsreP9X/yEn/zkJ/zkJ/+T//Zf/zu/2nkWT8oslj37Cpvnma4FMcG6lG2vb2Hu2PcnJaSQbtaAYqdjYGYvYdMqK8kYXRGkzllIbrQiqJ+xirjDEgupLjLGdQgd1oI0ALz2IaKzWRWGLh6j2Q9YKym3jcn89dmU5WmBAeobBwgxFYkUVhdhjAudzlpAWrQADF3bWALWpdt4fcvcca/JSkhJJxrmjlgiqCa5aDmVKUDfyVGPCYCP9qMNjBQso9IymUcFFIYuHKN5BLDMG3/sWivl8yzACE3HWxia6D3giYUsHFPHtlkWVMTX8UyZXH0qQxc5Fg0oleU2Rh+VnuyyPLTAQH3j9SnNN6NOoWhhAWqCtNd1EEuHUTyt1PWmMr/KAgxzse4KI7HfhZ3NnLGnMX9u2rUbOJPvywpDLX+lPQyY51E5ujOiNhVTnTf2NP+gxVIIIYQQ4u6TZ5SnJYV049jhUTV6SwYpdOJxdTHgh7yZeN9SYj5L1izGFouUKkFHSloWORkTjwAGHM3UHj1F06U+nN4AISUCRAgOhYEQI8GJrnqnL+XqCFMctd5CRgp0elx0zVhF3GEGK8YxvSFBpycBCIfCsZ8EcXTYY8+7emk7fZKuUd8IMxjLfpyXHATImkIHM2AdXwD00QIQHvWLAI7mWo6eauJSnxNvIEQ0zEGiYR7hWph1uSxdZKX2iwHqjrXzSH4pBkBxN3P0Isx5thTTpG6XBRno6EcB1KYMUsfNDtBiyjChxoHS34EjWIVJN+YjE9SxJlGHhvg6nimTq8+gowN7rK68bac5OTqghK8HFEcAsm4ZUDUps6vIV7fT0VZHp7eC8mQFT+tpelLm89hyDd11B7FfPMOVkWKK9GGcF85gN1cyd8wNi8n15SCOLgcRQG3OxjyuqyVisiZDmyfuZw9aLIUQQggh7j5JlKdDrUEzQXKh0upjFRrAFwzDNN5uPI7WwuyK+dffo3xDCsOdB/ndb7+kW0lh9tLlPDzLikGrRkWQK599wOfdt1+c0dRoJq6IaEICBHxBZqgm7iyVBvXYR1BVKlTAtXXTUAgMx0bk3S3U1V5m/FOrNrKzQZumIaIwhTkbKjTjC4BqdAFAGabz4O/47ZfdKCmzWbr8YWZZDWjVKghe4bMPPmd0mLWkL3yInC8/4cr5o1xwl1BlUnA0HKVTX8nLhQYmR8Hvix67JlE7wXGDShtNlJSgj8BE92MmVcczZXL1qQSGY9OE3bTU1XJ5ggOzRQOKZpIBVRuLqMpT09HZRl2nj/K5IVpP95BS8QSZ6Wrm2w5y0H6BM1f8FM3ycqHOjnl+Gdfz5Kn0ZYXgcHT8VpOonbB06nEvf3/QYimEEEIIcfdJojwdihIdwRsjEvTHphxq0d/mYl5TFnJw+pMv6VYga/3LbKtJjwuuD+XEnZhlr6BMXBH4Y3MvtfqxF+IRxn0jEib8QFxcq9HqE4AAmvzHeOmlCiabZs6UkOM0n3zZjUIW61/eRk16XBf2KUwUZo25ghXF+/ngYitHzzqYt9jPqRN9pC36Gjm3vAFzlZrEpAQgSDgYGh9DIBIKREdqE/SMy83uU+rYza2AJp/HXnqJipkIqNpI8cI81J2dtNZ1MpQ7Ql1PChVP2NAmqCirtHHwMzsX6q/gS+2lzm5mfpnlen+dUl9Wo01KAPyEA8EJ46KExma6f5uxFEIIIYSYSXIJNC1e7ENjn8JT8Dv78QIYc7Dd7fevBh10OgCMFMxKHXcHJDKzM66vmeh5RMXvpD9aEeTYYu+WVqlJUEN0ymhkzOfduPw8ALRYCqyogLA7/rnhOCEnrfVnaLzs5U5UedDRSTTMBcxKHRflifepNlKyrIwkoPv4KbraT3Dak8OyKtsU7pRpseRHj11x9+EZd+whPH1uFEBlLcAybjrv/UlrKcAaDegEfRoghLO1njONl/FOOqBqjEVV5Koh0HaapsbTdCeXU2HTAglYy+dhBbzNdTSfq8NurqQsftr1lPqylrTc6LP0irsX17glCEIMOYbH/OxvM5ZCCCGEEDNJEuVpGeDc+TGLNSlDtNZdRgFSK+aTOeZZQWW4m/ojRzhz2XdHEijUOgxaAD+usRf8IQ+9rrHPDapQx6ZNR66OCoecnDuwg72n+ie9au3AufNjFjlSGGqt43K0Iph/tSLUOkypicAwfb1Dcc/chnE219Fzk32o1JpoQ40osdGvEM5zB9ix9xT9NyuoSh2bIh/h+iGe48COvZy66RdvRI2xZCnFWsDeQJNj/M0SX8t+3v9gJ6dcd2aIXK0zRJ8J97vGJeohTy/jwhyTNGsZVanA4HG276wnNHs5ZalTmRCvxlS6lCItMHBu/LGHHDQ3DgBaipeUjFpEayZNuy3cgNpYwtJoQGlocoy/6eNrYf/7H7DzlGvCkdcbbtdUzMJcFfib2Hegk+SKeVxdMyvBWk6lFfCe4dPPe0mtjJ92zRT7spqU4mpmqQHHORrtoytBGWrnTNfYo7q7sbzj5z4hhBBCiDtAEuVJUfB7nDjdvtgiSXqU0x/zaUM/fgUIuWk79BG7W4KQMp8nanJHr4jNCK073+WDvXv58N3tNPtusqvQMG6nE5cvEL0wVwJ43U6cTje+cVMo4+iyWFCRCgRo2neAs4OxC+bwEG2HdnF0ACBC0OfG6fISVNToLTaSAN+Ai4ACireN44draXYpEz63OBG9cpqPP22gP1oRuNsO8dHuFoKkMP+JGnKvVYSO7MpCEoGez3dz6Pxl+u09tJ7cxYcnwaIBIiF8bidOz8ioxavUegu2aEFxRQtK2/HD1Da7UG5WULUeS/SLDLgCKCh4245zuLYZl6Iw4nHi8vqjF++KnyGXE48/DEoQn9uJ2xedlhoJDeN2uvAGFdSmCjY+UYqePj776DMuXhuOU/D3nmLnjgb8OTWsK0m5ZecKjXhwurzRNoSCf8iF0+MnjBKNk9tHKFoAht1OXN4guqwFRMPcxL4DZ7ke5jYO7TpKNMzR8ru8cUlTYhaLlmQAQRxuHWXLi6ecAKlN83jy8RL09PP59kN0+GLtUfHR+dVOPu8DXcnjPHFtJfbQtOr4pmW4SVsI+qden6hNVGx8glI99H32EZ9d9FxLlhV/L6d27qDBn0PNuhJSplJfahPFVbmoiDASSKWiIm5F7QQr5ZUWQMEXslBZZh09ajzFvqyY5rPh4WxUDPDlB3tp6I/Wd8jdzuHt++nRj78hcvdiOYVznxBCCCHEfUT1ox/96IF4OvSeUgY5/qt/YffVYU91IVu+XU7Tx3todKpQo6AAmvQqntr6FIsyxi4966dj5//mnZNuSKnmpe9vpkg/8a4Cl3bz87eP4xn3Gz3zvvXPbC25wRcBAr2c3P5ndjcMoKAmyWREEwhgKF1NlfsA+9pj6WfCHF74wTbKND189cd32NceICU9E52nhwF9Fd94ZROVNx1tHOHi+z/lD2cDFG75NuVNH7On0YlKDUq0Iqh6aitPLRrzCq3QIGd2/IGP6gaujc6pLZVs/Folbe/9G2evvi/HuoY331xD5rXsIUDPV3/knX3tBFLSydR56BnQU/WNV9hUmXrThcICPV/xx3f20R5IIT1Th6dnAH3VN3hlo5UTb/2SQ4OjP29d+z3efMjFhz99j3OjpoOrKXruh7xUYQAC2Ov3s33PcTq9OswZFvSKh377MKlla9j09CoKb5lVBene/wt+Ob4AfO/Nh3B9+FPeG10A1EXP8f++VEGg9yTb/7ybhgEF1EmYjBoCAQOlq6twH9jH9TC/wH/ZVnbt+4qzlnd/toMO00pe+97jcTcxpiJAf90+Pt5zgq6RZKyZRvD0MuBNIn/pBjY9VkX61e0Gu9n/i+nW8Y33P3Fb+DZLe/7Ar6dRnwABez37t+/heKcXnTkDi17B029nOLWMNZueZlXhrW98jKUMnuA3P9tFV+oqXv/Hx8iJm8Ic7Pm//J+3vsAxrq1fPcwp9uVEDxcOfsBHh9rxASqNmkhYS97KzawO7+VPx1xkPflPvL4sLe447kYsNZM+9wkhhBBC3E8kUb4d4WHsly/R51HQmbPIzzZP+MomAEJDXOnoIZJRSO7Y96rMKAW/s5uuHhd+VRJp2XlkmiZeDTf68QDO7k66nX5UBht5+Zmk3LJ4cYny1h/ynXk6hu2XudTnQdGZycrPxnzDiggzPHCZrj4vEYON/Lx0kiY1A1gh4Oyms9uJX2XAlpdP5q0LGjtEJ92d3Tj9Kgy2PPIzU2ZmFTvFz2B3F32uEcIJKVizc0g33qSuZ5Lix9ndRY/Ljyopjey8TEy3WnXJ3872n/+OKyve5B9Wpd9eHSh+HFe66HP7QWciIy8Hy117Ln/6beFW2/UPdtPV52IknECKNZucdOM9XMxqin0ZCPn66Oqy41X0WHLyyTQpdH78M357ykv+13/IqwtSJtjNHY7lXTv3CSGEEELMHLlquR2aJGwFpdgm89mEFHKKS+50iQA1OnMuxebcSX48EXNuCZP9+MQ0JNkKKJ1URWhIshYwxzrVfahJNOdSMo2CqhPN5JaYua1DnHDDOtJyi0mb8Q1Pbt/m3OIpxc3XcYJGfwGPV1pvv+OrdVjyirHc7namt/Npt4VbbVeXlkvxPQnoRCbbl8O4W8/QljCH+QUZFJZmXP+V4sTe5wVSybfeYArBnY7lXTv3CSGEEELMHHlGWYi/USOtu/nD9kY8ChB2cPZQM6q5K5l7p1baEvdICEf9fj7eWUvfqLW8FEa6TnDkMqiyl7Jw7AqDQgghhBDihmREWUyBgqdxFx8c6sZjjz5QfOnA7/nX4xk8tGUTVWlTWUVZ3GmKr4eWvzbwoeoymcPnOdGdzfpnijBInvw3R6VWofQd5J3f9LO4Ig9zooK3r4Uzp1oYTFvAlq3LyZCzvRBCCCHEpMkzymIKFPy9jdS1eUa/5kWdTMH8eeQkSQZ2Pwnaz/Dl4SZ63X4iSemUPrSaRfkGmUbytyg0RPfFRprar9A/6GEkpEKbnEZWYQUL5xdilnchCyGEEEJMiSTKQgghhBBCCCFEHBlcEkIIIYQQQggh4kiiLIQQQgghhBBCxJFEWQghhBBCCCGEiCOJshBCCCGEEEIIEUcSZSGEEEIIIYQQIo4kykIIIYQQQgghRBxJlIUQQgghhBBCiDiSKAshhBBCCCGEEHEkURZCCCGEEEIIIeIk3OsCCIWhrnM094ygTPRrlRqtPgVLVj451iQ0d7t4UzTS8iE/+/0ZfLF/Wx9+g++uy0Z7T0s1XQqDx/+Vf9ndHfu3htnP/YCXKwwzt4vh87z3v/6NC8HYv7Of5J9eW0baDNzCuuexGGnhw5/9njPXC8Ab311H9n3dGMJ42v7K6V4T8xbNxZJ4r8tzmx7IGAghhBBC3HuaNWvW/OheF+LvW4jBhoMcOHmBlrOnqT/fTHN7Hw57N5cvX6ars4VztSc5cewrTlxwk5xXSGZKAqpp7UvBb7/IuebLDEaMWIzaaW7nxtSmWSxYtIhSzUXqLg2jL1jC0iLjfZ/gT0yFzjaX6iXV5DjqaBxQMFesZGHGDGYZmlSKFy5m0ewAjQ3dBFLmsHxRHkmTTJQVv52L55q5PBjBaDGijQvoPY+F2sSsBYtYVKrhYt0lhvUFLFlahPF+bgwjbex8+y8cPd9If9YSqjKmmSkrfuwXz9F8eZCI0YJRO9M9bdTObtyvH8QYCCGEEELcB2RE+Z7Tkrnym3x3pZ/Wj37K7+qGSa7cwmubCtHFPqH4+2nY8yc+PPVXPn7Hi+q7z7HQPJ0r3Qjei/v5cE8vpmWvUpRtYKYHzNQJBkzmREZ0fxuz+tU6I2adFrv2Dh2PWktyqhmtRzet5yAi3ovs/3APvaZlvFqUjSEuoPc8FuoEDCYziSPTO7Z7QptOxfx8urvMVGbpbv35G4l4ubj/Q/b0mlj2ahHZhjs5NH2Tfv0gxkC/61CDAAAgAElEQVQIIYQQ4j4gifIDQK1LZ8GGZ2hrfpdT3iYOHu2m4om8GU9yhfi7pzFR/tSrlN/rcgghhBBCiHtKEuVpUvwu7HYXfrWBVLOZlKSEOztio8+gOF3FKW8EV0cPPiWPxPgdKkF8bieDbh9KohGrzYLhDkQ35BvEPuDGTyJGSzrm5MkdtxJwY+9zEtCayUg3jS77uA/7cdr7cY+o0Jts2Mx3aDQsPMygfQC3X0WS2YbNNL39hIdjdaJKwmyzYbrlCG4Ir72PAZ9CUloGVuPdveUxpVjMUB2NKQBuex/OgBZzRjqmGxZAIehz4xx041MSMVptWO5Eo56GKdXhLTd2l9r7qH1ONgYAYYYH7Qy4/aiSzNhsJu71hBEl6MPtHMTtU0g0WrFZDDf9Yxby2ukb8KEkpZFhNU4uXrcRlxltH0IIIYS4J+6Pq84HSMjVzKFPPuWr83bCSUZSNH7cQwHUpjzKFyyhZtUCsif7gOmURIhEYv+rUl27YFN8HRz59CC1Z9txhPQYTVpCHg/DESOFyzbw9LpKbImgOGt5961ddI5ElwxzH3ubH5+IbSUxn41vvMySm6wgFXKe5+D23RxpdaNJNmFQ+XEN+dHbiihf9DDrlxeSPNHXIwG6j/w7/7GvEcfV1cqMJTy69VlWFSSNvvAMuWg+tJu9XzUxEE7CmBzB6xlBYytj1YaN1MwxkQAozpO8+9ZuLgXivps0l+e//zxzk6KLWP3ijw0MxepLk17DK6+uI+dqPhpy0vTFbvYebsYRMWA0KAx5RtDaylj15FPUFE/uOd6Qs4kvdu/lcLODiMGIQRnCM6LFVraKJ5+qoXjcg6AKvs4j7Pz4IOcGQrGfqUgtXcfmhyZcyu3GFCe1777Frs7YInDuY7z94xOx+kwkf+MbvLwkbXT9TikWM1NHo0UIdB/h3/9jH43XC0DJo1t5dlXB9eeyFR8dRz7lYO1Z2h0h9EYT2pAHz3AEY+EyNjy9jkpbAs6T7/LW7kuMbgbP8/3n55LECC0f/oI/NgwRbQYa0mte4c11OTcsnb9tB2+9dwqXApBA5iOv8q2C4/x61M++zZOJh29ShwrO2nd5a1cn0a7m5tjbP+Z6V9vIGy8viS7WNsn2fjNT79eTjAEAIZxNX7B772GaHREMRgPKkIcRrY2yVU/yVE3xJJ519tH4x5/z/kX/9R+pkql44Xt8Y04SoOA89Qd+uWuAuS98ly0lSdFYdOzil7+vxRkrojZ3A298Zyn6riN8erCWs+0OQnojJm0Ij2eYiLGQZRueZl2lbdRMG8XXyZGdH3Pw3ADXelxqKes2Lyew90981R8GQJ22hJde30iBbmpxGd9mbtU+hBBCCPGgkMW8piDsrOOjX7/Pie4Ulr7wD7y8ZR01K1exoiINd/1x6i/0YqhcQtG0VsoJM3j+KHW9IRKzF7Jsrnn0RfJwJ18dPENvENKq1rAilqiEB+vYseM0kYVbef2Vr/NozUpqVi1mlqadw4cOc86bT9UcC4naVPKKyyjSd9BwaRhD5Wa2PVPD4upqqqvKybOk3HjUI9TH4d//ls97cnj8H77LC0+sZuXKVayoSKW/9ihnelKYvyR+gSAFb8dJTrT5UEcGaOk1sXTD46xeUkpGpJfWS5dpbY9QuqgY09XvhJ3U/8fb/Pl4N8aHXuC1l7ewrqaGlVVZjJz7gkNH6nFYK5ibqUeTYCK3eDbGnnpa3QrWFc/zwmPzyU41oFWB2pDJ7Dk5hC404pv/LC+uLyfDqEOjiu7nzEe/5v2TvaQuf5HXXtrE2poaVi6w4ar7giPHmhgumE9JWvxCZyEc545ypj+MeV50Ma+w8wwf/fp9TvamsvzF13hp01pqalaywOai7osjHGsapmB+CWlxizgFe7/iD7/ZT4vXyLwnv8m3ntvE+hXlpNqP88mxHny+YZSUOSxfPInFvFQJpOYVU1akp6PhEsOGSjZve4aaxdVUV1dRnmchJVE97VhMvY5uTPF2cPJEGz51hIGWXkxLN/D46iWUZkTobb3E5dZ2IqWLKL5agPAgdTt2cDqykK2vv8LXH61hZc0qFs/S0H74EIfPecmvKiXDmkfx7BR66ltxK1ZWPP8Cj83PJtWgRYUaQ+Zs5uSEuHDOx/xnX2R9eQYpuhv3TbUhg9lzKyhUt3D2sg9t/mKWzSuiOO5nSthOS5+ZZU9u4JElZWTRQ0tnV1wdqkhIzaO4rAh9RwOXhg1Ubt7GMzWLqa6upqo8D0tKIuoptPebNQVVwuT69ZRjQBjnmY/49fsn6U1dzouvvcSmtTXUrFyAzVXHF0eO0TRcwPySNG6+TpmGlOwiZht7qW9xEcley7bn1lCRlUqSVgWKi7N79nJ2cASnUsjiCitaQJ2UTuGcfGhtZKT6OZ5/pASrUYOrbgc7TkdYuPV1Xvn6o9SsrGHV4llo2g9z6PA5vPlVzLHE2mWwl6/+8Bv2t3gxznuSb37rOTatX0F5qp3jnxzlsnsIX9jCyudf5PHFJWSY9CQoU4vL2DZz6/YxiQ4jhBBCiPuC3OCeLMVD4ye7OTsE1tVfY31ZWuw1O2p0GQvYsHEe+ju1a98VTu78OPqKl+R5rH8o6/qoicaAJWchT6wvv/4qmwQjs1dtpMYK7tOf0zSkQEIy6bk5ZJiipU5ItpGdl0deXh55uRmk3GToKuy6SH13BDIXMj/n6oW7Gl3GQtavzr7pyKKvz8DaF55hxbwiCovmsfKpZ1iUAgyep2ng6juRFIaa9rCrwQPW1Xzt0TLMsfJo08p49GurseKhYdfe2LGkkJFbxKKauegA+8U+dOnWa8mlWm/BwiVafVksW15GfubVqY+x/USDyJa1paTG9pNoqWTD09Uk4+DErmP0BbkxZYimPbtibWELa0tTYzc1ErFUbuDp6mRwnGDXsT6ubUZx0bDnIF1hMK/YyuZls0hNVJNgyKJy/bOsTXVzs12Ol0Byei45GaZoO0xIxpYdi2deLhkTBHRKsbjdOpqIrw/D2hd4ZsU8igqLmLfyKZ6JFoDzTQNxx6/BYMlh4RPrKb/eqDHOXsXGaKPm86Yh1CkZ5BYtpqZUB9i52Kcj3Zp0rX3qLRa41IovexnLy/LJNN18irtal0ZWbg7pxuurmqvG/MzXl8za559iWVkh+YVlLHvy6XF1mJCcTm5OBtGulkCyLTsWlzxyM1JImGp7v5mp9utJxkAZamLPrrMMYWX1lrWUXm8EVG54mmgT38WxWzYCNUm2XGYvWEKBGiL9XQTSMrHEOqviaaWuK3qMIy1nuDJ8PRbpBjddXhsLq0vIy0ghAdAYLOQsfIL15Raun+5ms2pjDVbcnP68iWiVKbga9nAw2uHYunkZs1ITUScYyKpcz7NrU3EHAbSYMnPIzTKjU089LmPbzGTahxBCCCEeDJIoT5IydJHjF/yAhXnltjHvolVjmLWc1curyJtw/vHUeOve5xc/+Qk/+clP+Mn//G/81//+K3ae9ZAyaxnPvrKZeabr+0iwLmXb61uYaxiz34QU0s0aUOx03O4FmkodHaHpPs6JtiHC136hJm3JK/yn764h8wZvTEosrKbIGFc2nZWCNAAv9qHYZEhliAvHmhkBLPPKsY3ZltZazjwLMNLE8Zah2Pum1SQXLaMyBeg7SW13/ARcH+1HGxiZtZxKS1ymoAxx8VgzfsBaOX4/+uwy8rTAQD2N16ZGj6cMXeRYsx+wUjmuLejJLssjuplGBq4dYgt/bQ8DZuZVZoxeiE1torg67453xsnGYibq6AYFoLrIGHecOqzRAuC1D12bGkuClaXbXmfLXMOYOkkgJd2MBgV7RyypUydTtLySaDOoZXQzaOdowwgFyyqxzNBDJomFC8fUoY1ZFhWj6vBWptXeZ8ikYqAwdPEY0SZeSfn4RkBZtBFQ33h9SvPNqFOKWFighmA7dR2xbBgFT2sdvanzqbIAwxepuzIS+10YZ/MZ7GnzmZt2NXgJWJdu4/Utcxl/uksnerrrYCAIKEO0/LWdMGCeV8not3ypMRVXkze2w81AXGakfQghhBDiviDPKE9ScKADuwKoTWSkTpAV6vNZ9UT+jOwrMX8JaxbbYsFRkaBLIS0rhwxT4oTJVMDRTO3RUzRd6sPpDRBSIkCE4FAYCDESvL1LbU1qGSvKPuOj85f5/N3/QW1uOfMqyikvn0uBRYf+JkPKBqtxTCNLQKdPAMKErmbcwQE6+hVAjSkjlXG1qzWRYVKDQ6G/w0GwyhR9dZYul6WLrdR+PkDdsXYeyS/FACjuZo5eVFH6jTmY4iss6KDDHqsLbxunT3aN3k94kOhlupNLjgBkTdw9go5YWwC8bacZv5nYxb7zElc3E3R04YgAajPZ5vEjm4kmK8m04ZlwjzNjcrGYmTq6QQEwjvl4gk5PAhAOhUf/IuCgufYop5ou0ef0EggpRIBIMHqjJjQSvJao6HKXsshayxcDdRxrf4T8UgOg4G4+ykXm8GypacZuQoyvQw2JOg2j6vBWptveZ8KkYhDE0WGP1a+XttMnGd0Kwlxv4g4CZN36D4k6hdlV+ajbO2ir68RbUU6y4qH1dA8p8x9juaabuoN2Lp65wkhxEfqwkwtn7Jgr5465yRHA0VzL0VNNXOpz4g2EiJ7ugkRPdyMEFSDooCva4TBnm8e/ISDRhDUZ2uI73AzEZUbahxBCCCHuC5IoT5Li90VHsDSJt3gm7/ZpLbOpmF84iYtjheHOg/zut1/SraQwe+lyHp5lxaBVoyLIlc8+4PPuGSiQxkzVs2+QdPQgX55o4NLlRo5dbuTYPjAWLGHtxvUszJr4WUqVRj3uOVaVSgVEuLo2GYofX7RySZywclVodRqiqyAH4kZytKRXPUTuF59w+fxRLrhLqDIpOBqO0qmfz3cKDaM3owQYjg2uu1vqqL08wb5s2WSjJU0TIXrJPJ4SGI5NUXXTUlfLxJvJBm0amkh0K0pwODrypklkwlcyq7V3fER5crGYmTq6QQFQjy8AKri+UB2gDHdy8He/5ctuhZTZS1n+8CysBi1qFQSvfMYHYxu1Np2FD+Xw5SdXOH/0Au6SKkyKg4ajnegrX2ZsM7gdk6rDW5l2e58Bk4qBQuB6I6Cu9vIEz6LbiDZxDZFJNQI1xqIq8tQddLbV0ekrZ26oldM9KVQ8kUm6ej62gwexXzjDFX8Rs7wXqLObmV9muf5HShmm8+Dv+O2X3Sgps1m6/GFmWQ1oow2Dzz74nGstQwkyHO1wJE7c4cb3wxmIy4y0DyGEEELcFyRRniR1YhIJQDAcJHS/XPGEHJz+5Eu6Fcha/zLbatLjAupDOTGDqZc2jdLVX6d09SY8l5uprztF7V8vMNB5ku2/caH+3gssNE9zpRp1IknRyiU4YeVGCAWiwzEJ+tEJpcZcwfKS/XxwoZWjZx3MW+zn1Il+LEu+TvbYYSS1Fn0CENCQ/9hLvFQxvQxKrY2OwAU0+Tz20ktMZjNqbbT9+MMBghMdohKa2YRoumaojqYvhOP0J3wZbdS8vK2G9LizlE85MUFOpsFcsYLi/R9wsfUoZx3zWOw/xYm+NBZ9LWfmRmNnym2097tDjTbaCNDkP8ZLL1UwE61AbSxmYZ6azs5W6jqHyB2poyelgidsWhJUZVTaDvKZ/QL1V3yk9tZhN8+nLG44OeQ4zSdfdqOQxfqXt1EzumEw6nSn1kbr2B8mMHGHIzS2w933cRFCCCHE3SR/6ydJa8nHqgIUN/2e8c+aKQEHrefO0dLvH//lOyXooNMBYKRgVuq4ux6RGcq8lKCH/l5H7HU3CRhzK1i5cRv/+M/bWJIKBC5yqnP4Flu5Ca2F/Gjl4u7zjH/mMeShz60AKqwFltFTItVGSpZHL+S7j5+iq/0EdUO5LJtvHX8XSGuhwKoCwrjjn4mN35WzlfozjVz23rjytJaCaFsIu2/w3GEIZ2s9Zxovc3Uz2rRc0gAUN72u8c+Mh4Yc3EYNzpwZqqPpC+KINmqMBbOuLSR2zQ0atdpYwrKyJKCb46e6aD9xGk/OMqps9+G9wNtp73engFgKrESbuJ2Jm7iT1vozNF72Tv4Gj9pIUVUuagK0nW6i8XQ3yeUV0WeBE6yUz7MCXprrmjlXZ8dcWTZq2nXQ0Un0dFfArPENY3Q5tGnkRjsc7l7X+IXyQkM4xna4+z4uQgghhLibJFGeJLWplKVF0QVszjU7xlxEKfgufsq//Xk7p66++BOF4e56jhw5w2XfHRorVOswaAH8uMZezYY89LrGPhSnQq2JhjyixEZMQk7OHdjB3lP9N1x1OdR/lPd+9T717tHHoU7Jp7xAD6hQ3c50dLWJ0qVF0QWwzjXhGHsojmYaBwBtMUtKjOMabVL+Qyw0A4PH2b6znlDxcspSJxjdVhspWVqMFrA3jN8Pio+W/e/zwc5TuG4ya0BtLGFpsRaw09A0ti2A4mth//sfsPOU69p0S3VKMdWz1ICDc4320XWtDNF+pmtSiyKNpVJrovURUWL7CuE8d4Ade0/RP5013GaojqZPjS7aqPG7xibqITy9LiZ+1DOJWcuqSAUGj29nZ32I2cvLmKgZ3BUqNdGuFuF6VzvHgR17OTWQdFvtfYKdTatf35gaY8lSok28gabxjQBfy37e/2Anp6bUCNSYiheSqwJ/0z4OdCZTMe/qYngJWMsrsQLeM5/yeW8qlfHTrgG1zhD9rN81LnkPeXoZdbpTp1BcPQs14DjXiH10h2Oo/QxdYw/rNs9DU3MX/j4IIYQQ4rZIojxZahPznnycEj30fb6Drzp810YwAgMNfLrnPKHcGh6enRT94UgrO9/9gL17P+Td7c34brLp0LAbp9OFLxC96FQCXtxOJ063b/z0wHi6LBZUpAIBmvYd4Oxg7GowPETboV0cHQCIEPS5cbq8BBU1eouNJMA34CKggOJt4/jhWppdys3fiRvu5tDnjQzGXTwGB85T2zICicVUF8QmZ4ZG8DhdeP3Rgiv+IVxOD/4wKEEfbqcbXyi62Fho+Hq5TPOe5PESPfR/zvZDHVy9dlR8nXy183P60FHy+BOjVvy+JjGT6qVZQBCHO4mKZcWkTNiy1ZgqNvJEqR76PuOjzy5ybXKA4qf31E52NPjJqVlHSWwDit+D0+nGF1SACOFhN063ipINTxDdzEd8dvH66JPi7+XUzh00+HOoWVdyvRwaM/M3PEy2Cga+/IC9Df34FSDkpv3wdvb36KOv2QqP4HE5cfsmlzar9RZs0YDiigaUtuOHqW12oSjTjMUU6+jGQox4nLi8/mhfUfwMuZx4ogXA544eZwSIhIZxO114g1qyFlSQCgSa9nHg7GAs0Qsz1HaIXdFGTSToi33+egdJzFrEkgwg6MCtK2N58dSSGSUU22Z8fQ3002d3TrEOAbUeSzQwDLgCKCh4245zuLYZl6K5vfY+zs36dRD/lGOgoDZVsPGJUvT08dlHn3HxeiPA33uKnTsa8OfUsK4kZUp1rDYVU5WrgsgIgdQKKuKWlk6wllNpARQfIUslZdbRo8a6rAVET3dN7DtwluunuzYO7TpK9HQXPSaXV8E8fwMPRzscH+xtoD/a4XC3H2b7/p4JFiGcxnloWuc7pvT3QQghhBD3hupHP/rR/fLE7QMh0F/Hvo/3cKJrBIM1k1S1D3u/h6Tih9n8tUcovpo8+DvY+b/f4aQbUqpf4vubi27wnuUAl3b/nLePT7DesX4e3/rnrZTc7AXNgV5Obv8zuxsGUFCTZDKiCQQwlK6myn2Afe2xYZaEObzwg22UaXr46o/vsK89QEp6JjpPDwP6Kr7xyiYqbzD8pnha+GLPAWobr+DRGLHZjGhDQ9j73USsZazZtImVs6Kv8gl27+cXvzzE4KgtWFn7vTd5yPUhP33vHKMmp6uLeO6Hsed8A/3U7fuYPSe6GEm2kmkET+8A3qR8lm7YxGNV6eNXr71aRtcpfvezj2lPXc0bbz5K9s3mRQbs1O/fzp7jnXh1ZjIsehRPP/bhVMrWbOLpVYWxBFdh8Piv+JfdPWM2ED2eFepG9m/fw/FOLzpzBha9gqffznBqGWs2Pc2qwrFJRBjPhYN88NEh2n1EF1aKhNHmrWTz6jB7/3QMV+yTydXf4T9tLrzJQVw7GHq++iPv7GsnkJJOps5Dz4Ceqm+8wkbrCd6adiwmW0c3Eexm/y9+yaHRBcC69nu8+ZCLD3/6HudGF4Ci537ISxUJ9J7czp93NzCggDrJhFETIGAoZXWVmwP72mOjygnMeeEHbCuL3ZxCwVn7Lj/b0YFp5Wt87/HcG7aXiYy0fMBPf1/PyKifatASHjMqO7k6DPR8xR/f2Ud7IIX0TB2engH0Vd/glU2V0ZHu22jv4wRu0K+/vZSeP/x6GjEwAAHs9fvZvuc4nV4d5gwLesVDv32Y1LI1bHp6FYW3bARjKQye+A0/29VF6qrX+cfHcuKmMAfp+b//h7e+cGBd8yZvrskc9/hEoPck2/+8m4Zow8Bk1BAIGChdXYX7wD6un+5e4L9sKyPsucDBDz7iULTDoVFHCGvzWLl5NeG9f+KYK4sn/+l1lqXFHccU4jLt851msn8fhBBCCHGvSKI8LQp+xxW6+tyMoMOcmUd2mm7cyEpo6AodPREyCnPHvZJlxsvj7Karx4VflURadh6ZppssNqMEcHZ30u30ozLYyMvPJGUy5QsN0d/dw4DHT1iViNGWTU56yoyvCKf4HVzp6sPtB50pg7wcC7o7MPdB8Q/S3dWHayRMQoqV7Jx0jBOukHvTreAf7Karz8VIOIEUazY56caJV7a+KuSjr6sLu1dBb8khP9N0889PogwBZzed3U78KgO2vHwyJxXQSWx5Rupouvt20t3Vg8uvIiktm7xJ1JO/fTs//90VVrz5D6xKv/fPJysBJ92d3Tj9Kgy2PPIzx/eXGWvv0+3Xt9yun8HuLvpcI4QTUrBm55BuvIeLWSl+nN1d9Lj8qJLSyM7LxHTzDoevr4suuxdFbyEnPxOT0snHP/stp7z5fP2Hr7IgZaLd3Nnz0N37+yCEEEKI6ZBEWQjxN8JH8/s/533v43z/pWpS5cGSv29hN61n2kiYM5+CMSPfivMkb/90J5dTV/LaPz5O7lSmHgghhBDi74JcSgohHlAjtO7+A9sbPShA2HGWQ80q5q6ci1HObCLkoH7/x+ys7RuzeN4IXSeOcBkV2UsXkilJshBCCCEmIBO+hBAPKAVfTwt/bfgQ1eVMhs+foDt7Pc8UGeQOoABUqFUKfQff4Tf9i6nIM5OoeOlrOcOplkHSFmxh6/IM+SMohBBCiAlp1qxZ86N7XQghhJgOtQZC4RHcrmES85ez8amlZOtu511l4m9GgpniBXPJSUsCn4O+nl76ncNoLCU89NgWnl4xiQXphBBCCPF3S55RFkIIIYQQQggh4sj9dCGEEEIIIYQQIo4kykIIIYQQQgghRBxJlIUQQgghhBBCiDiSKAshhBBCCCGEEHEkURZCCCGEEEIIIeJIoiyEEEIIIYQQQsSRRFkIIYQQQgghhIgjibIQQgghhBBCCBFHEmUhhBBCCCGEECKOJMpCCCGEEEIIIUQcSZSFEEIIIYQQQog4kigLIYQQQgghhBBxJFEWQgghhBBCCCHiSKIshBBCCCGEEELEkURZCCGEEEIIIYSII4myEEIIIYQQQggRRxJlIYQQQgghhBAijiTKQgghhBBCCCFEHEmUhRBCCCGEEEKIOJIoCyGEEEIIIYQQcSRRFkIIIYQQQggh4kiiLIQQQgghhBBCxJFEWQghhBBCCCGEiCOJshBCCCGEEEIIEUcSZSGEEEIIIYQQIo4kykIIIYQQQgghRBxJlIUQQgghhBBCiDiSKAshhBBCCCGEEHEkURZCCCGEEEIIIeJIoiyEEEIIIYQQQsSRRFkIIYQQQgghhIgjibIQQgghhBBCCBFHEmUhhBBCCCGEECJOwr0uAIqP7vPnuexTpvS1sOs8n315keHYv60Pv8F312WjnfkSTlqgv56DBy6Q/eQWFhhdHP/Xf2F3d+yXmtk894OXqTBMaktc/uwjjmmW8tjKIoyaO1joGTPM+ff+F/92IRj7dzZP/tNrLEubzr2YAP31BzlwIZsntywgdaqbCFzms4+OoVn6GCuLjEyn+gIDDXy+5wtOt/bhDatISDKTWVjFY888TKFB7i9NxvTr8AbxV4J4ettpabtEd/8gHr9Cgt6ELa+Einmzsekm2KYygr29iebWLvqcXoIqHSmWLArL5lOabRjTNh7EfifE7Qjjafsrp3tNzFs0F0vivS6PuPsUBo//K/9y/WKF2c/9gJcnd7Fyfwl7aPvraXpN81g018KD1JyVweP867/s5vol43P84OUKHsAo3AFynnrwPbjnGc2aNWt+dE9LEBrgxJ/fY9+ZNjo722ltbY3+19LEucYmmpubudjeSUdb67XfXTx/jqaBQr7x2jdYnHiRukvD6AuWsHSaSdHtU/C27uf37x7AWbyWh8ts6DQ6bHOrWVKdg6OukQHFTMXKhWRMKpPXoE8OcP6Tv7C/XUdxWR4p9/1Fu4bU4oUsXjSbQGMD3YEU5ixfRF7SFJNKxUvr/t/z7gEnxWsfpsymm/q0B42e5MB5PvnLftp1xZTlpUytXQy3svvXf+LYQDoPf/Nltj6xgpKENo6c6CFzyTSO6e/RdOvwRvH3d7D7l/8ff/nyDM0ODbbsLGwmHeHBi5z46ghHajtRFcylIFWLKrohPBf28cd3/sS+kxdwJqaTnWnDpB2h5+xXfHnoMGcHUphdkkPytcbxIPa7e0zxY794jubLg0SMFoxa1b0ukZiKkTZ2vv0Xjp5vpD9rCVUZD8IVqILffpFzzZcZjBixGK/2+Ul802/n4rlmLg9GMFqMSHMFUKGzzaV6STU5jjoaBxTMFStZOLmLlbvqVvEbadvJ2385yvnGfrKWVDMfZsIAACAASURBVPFANOcYlc7G3OolVOc4qGscQDFXsHJhBtq/g3PsLfvlA3meEqM9OOeZse79iDIAatJq/h++92jciPBQHb/+Hx/RRRYb3nyNZWlXr1hD2A/9kl8cSyA5NRXdRKNId1nIfpK//OkrBku38uZjpRjVAGp0RjM6rR3tNIqYmL6Izd8a4d1f7uG9nam8vqU8tt37lRptcipmrYfphySE/eRf+NNXg5RufZPHSo3TfDYgkfRFm/nWyLv8cs977Ex9nS3lk9+Wr/0IZ9ygr1zN0qI09MCspet5xHmB9MS/vT9Sd8L06vAm8VeGGXQqqLPX8dorD5N97e/kGlaceI+3drVx8C8Hmf2PGynQASj4upro8CZS9NTrvLjUdv3c8shyDv/hV3xav4P39Fa++1QhSbFfPXj97h6LeLm4/0P29JpY9moR2Qa5gHmgaNOpmJ9Pd5eZyizdvS7NJEXwXtzPh3t6MS17laJsw6RHDiPei+z/cA+9pmW8WpSNNNcotc6IWafFPp2LlbvoVvHTplcwP7+bLnMlD0xzvkqtw2jWobVrR1+r/B2cY2/ZLx/I85QY60E5z4z1YJX2fhR20vDJPtrC+ax7tAzTDNaoNmMJTywz4zmziwNtw0xtcvqDJ+xs4JN9bYTz1/Fomek2G6eWjCVPsMzs4cyuA7QNT7b2QvgcLoJAkjnp+ki0Lo+ap9dSlCxd5tamV4e3jL9Ky+xVi+KSZIAErPMeolALuC/QPBAc/RXjAtYssI1+JCMxk0WPzCMJcJ0+Qodv9G7+3vqd+DumMVH+1Kt8/41nWWS9T+6bCzFNGlM5T736fd54dhHSnP+GyHlK3EP3vsVpzMx/aiuzjGmTnB6rxlj+JFszDVgTYGjMb5WAG3ufk4DWTEa6icSb5TXhYQbtA7j9KpLMNmymqU/zDfaf4suWIOrCxcw1T+YIwgwP9tHvDqMzp5OeerN9JpJVVYX18Oec+aKRNbMXYZ5CAZWgD7dzELdPIdFoxWYxTCrgU6nDkNdO34APJSmNDKvxNp4JCtJ/6ktagmoKF8/l5lWp4HfZsbv8qA2pmM0pJCVMUMjELKqqrBz+/AxfNK5h9iLzpOKrhGOpkerGo8eK34m9382ISo/JZsM8hWH00JCd3gEvEZ0Jiy0Nw02Covjd9Pc7CeltZNri4xdm2NmP3RMh2ZaBJelGFRbCN2hnwO2HRCOWdDPJE9XVZCh+nPZ+3CMq9CYbNvON2+5k6nC0W8Q/qZQX//N/Bs0Ex6lORKcBggphJXL1h5gqHufZ/PQJRxa0qZkYgeGgA7s3xOgg3F6/A1D8Lux2F361gVSzmZSkhInrSgniczsZdPtQEo1YbZabtofr3wvgtvfhDGgxZ6T//+y9d1RcV57v+6lEBaiigCIHERRIEiiCCMpZtoJl2WprbLXHsT3d035rpu9d6/3x1qxZ692Ze++8WR3umrE97nZq93TbY8uWLFmy5ZaVI1YAIYEEAgmESEUFKKh06v1xSsQCqgAFt89nLa0llc4+Z+/v/v1+e++zw8EwZqCbSBoBp6WDdlsfMo0Bk8k4iZUiY+NxdNHRacNJGProWIzho2h1j8nEbU83Ha2d9PjUGKJNRAUldjB46fX7mUxrxGQyTFivkOK2x+HXAsL00cQaw5moe4+RI1y2DtosLlTGOGINYUHoHUo794gSQrwb50a4HTYsXTYcQhj6GBPRwTn5BHS/j0xED8GJtaMDq1OOLtKIMUI7in1OVKP7zdT59YRjfUhMIr+hxMag25IHU68T74/dXx97WLH8kex/jIG3t4u2dhtetZHY2MggbHYK/TIIHn4kkmuIzcohNvgEqGMyyYkB8AwMlH0uWk79ic++vor53hSQfjort2+jNE071Eg8FmqO7ufgyVrMPh16nUC3vQ+VKZvS9Rspywp2r7MH89UqOoHY6cmMd8aTt6uSvR/spaLF1f9bRHoJG7esIMcYuCqUxgzSwo/QefsSDd2FFI47ZS3gaDzFV4cruNJgxqPRY1B5sNt78enTKVr7GCvyTYQBzpt7eePDC1gFACXxS59lfdjJoDQUHLc49cXnHK7uxOP/TRY5kxWbF01sBs5j5mpVJxDL9GTdKMHKg7X2OF9+dYJrHV60+ggUThvdLjmGlBzmLCijdE4iA9tflRgz0gg/0sntSw10FxaOOeN/Tw+LRyxB17G3+KcTMkBBTPEuXlqTgtxay/H9BzlR04lXqyfc14O9T4Epu5S1G8qYYbhXj05u7n2DDy9YRT2U8Sx9diOa07v56kon3nsPTdzAz19ahK5xZF1s1J7ikwPVdPkF1SQXs/Xp1UyX1fPtp59z7OY969cyrXw725dnEtFfPg+Wa4fZs/8U9TYF4QYdMqeVbqcGU2YO85asojg9PLhGwWOl9vh+Dp6oodOrRR/uo8feh8KUTenaDZTNMPQHkmA0DPgyZdz6lyMfxSldnTdp7gPCM5lhCuu/Xhs/i/z4wGkEj1O0W7kOvWbk00L3O38xrLUc//IrTlzrwKvVE6FwYut2ITekkDNnAWWlc0jUyhEcjZz66jAVVxowezToDSo8dju9Pj3pRWt5bEU+JtFJ2fvGh1wQDQNl/FKeXR/Gyc++5uqAkzJ95Xa2laaJtj+RNAMlwFp7nP0HT1DT6UWrD8fXY6dPYSK7dC0bymYgmriApeI93th3iz4BwMaZ3/4z5/z3CkvdwCu7FjDWWX4eyzUO79nPqXobinADOpkTa7cTjSmTnHlLWFWczpDFByHE7UCxbaPmNLu/ukLngPOx4Wfbke95i/23XYMepGXW0z/l6Vla6Kvj03/7A1Xd/hcwiljKnn+BFUn37MyDpeYo+w+epNbsQ6fXIXTb6VOZyC5dz8ayrCAPhQs+bt/T4trhPew/VY9NEY5BJ8Np7capMZGZM48lq4pJH2f1SyCNVto+5Y9DYtZ6wk5+xtdXzQw0CSvZvq2UNK0cBAsV773Bvnv6aWawbWc+9V+M0c552jn5ztscahFXfyhMJfz4xVUkhyGeRfDWB5z3Bz3NjKf46Y+y+w80EiwVvPfGPm6JRoftzG/55wGjY8Mru1gQyOju5fNWn1gO2xl++8/n/HEmjNQNr7BrQZT47xDi3ZgIDhpPfcXhiis0mD1o9AZUHjv2Xh/69CLWPraCfNHJA7QVY+kOlvPv8cb+2wyx2llP89OnZ6Glj7pP/40/VHUjWq2C2LLn+cmKpGByPZKJ6OGxUnv8S746cY0OrxZ9hAKnrRuX3EBKzhwWlJUyJ1GLPFiNxq2/51na8kf+0K9hHEWLw7hwrGmCGk2VXxN8rB+BD1vFO/w6qBgbfH6Djo0/f4lFusaJtSVTVq+vsCPmOG8Nye8LvLA0HiX+9nbC/bFxYtuEefCxvP9Wj0L/IxS8XVTu/YC9FS0DfhqRTsnGLazIMQaIs1Pnl6Hw8A/zGg1XK9+dvIaNCGYUzx/l8B+BnsbznLvpQO7rpK7VwMK1ayhfMJM4Xyv1t5upb/Axc14WhnvieS1c3v02H59vJbL4R7z03CaWl5VRMseE9dJRTp2poTdtNtOjgjggRLBT882fqbWHkVa0lDmmAJvSPWaqT1+m3e2mq7EFzfxtPPPUJlYtziHOe4fKqmoqr/WQMmcG0YEOaZCD/cpprtv7kGcuJC9mvI3vXrou7WXvRR+F21/m+SdWUlZSRun8aSgaTnL8ZDU9qQXMiFah0MWRMSuXdHkdV5odCN4O6tqMFK1fy9IF2SRwl7pbTSM1dLdy4ve/41BdD/q89TzzV0+xadViciI7OPvlGe46HPQKY9VbIClr+ObPtdjD0ihaOoeRUnqxXNrN2x+foyViITte3MWWFWWUlC4mN8pG5dlKrrfqyF8w9LRiOXaunL6OvU9O5sI8xpJP7tcjQ1FP9R0n+rlP8MzGEubPnUt+RhzhfdV89tuPONuiZ9GOl9i1ZQVlZSUUJPRRffQ4pyrNxOTOIl4jB+To4jPJyctEXldFU4+A0FFDo3IOq9cspzgvHndjHe2q6RTPS0EXHk9mTh6Z8jqqmnoQfF3cbDdStG41pQUZRNgbqL/dQG17GEL1cW4nLmH9yhJmp6gw1zfS1FBHX/o8ZkWJocXTdpIP3j3C3aQ1vPjqDtaVl4haRbZTcfoydyNmsyCYw++8Fio/+y0fnW1Bv2gHL+3awoqyMkoKEuirPsrxU5WYY3KZFa9BHoSGeo0ioF+NX/+BcGNrPM/+T/7MLXcii5/azPy4sCAO9hGw1xzm21obyozlrFuQiHp4opD9DryWS+x++2POtUSwcMeLon2UlLI4Nwpb5Vkqr7eiy19Apl6Bt+sSe/dexFe4nZeff4KVZSWUlc5nmqKBk8dPUt2TSsGMaFQKHXEZs8hNl1N3pRmH4KWjrg1j0XrWLl1AdgLcrbtFU30DvpnzyDIoQD6BNGIJsFR+xm8/OkuLfhE7XhJ9rKykgIS+ao4eP0WlOYbcWfFo5DKUkSlkZWeiaazidq+O/M07ebxsPnPnzqUgJ4XoiDHeznvaOPnBuxy5m8SaF19lx7pySkpKWZwbSXvFaS7fjWD2YF8OMW7LdcP8SeigplHJnNVrWF6cR7y7kbp2FdMXF5GbNZ0M/V0q620IMYt5esdqZidGolPJQK4jPmMGSZ7rXHXMZtuPVpETp0etkIl6Xd7N2x+fpzWymB+99ByblpdRVjIHk/USR0+doaY3jdnTo4I4NCr4uC3DQ9vJD3j3yF2S1rzIqzvWUV5SQuniXCLbKzh9+S4Rs0U7Gwv5sPivSl3IkqLZ5OSmI6+7QrNDwNtRR5uxiPVrl7JANBxuNdXT4JvJvCwDCpmSyJQscnLi6bpSi9nZh3m8dk6txpg6nZxMNQ2Vt+hRJDJ30QwiFYBciyl9FrNiLVypNePS51BaGNe/dUKmjCQlK5tMTSNVt3vR5W9m5+NlzJ87l7kFOaRERwReAeXPZ3amhsaq2/Tq8tm883HK5s9l7twCclKiiQiThxzvxq7SLi7t3ctFXyHbX36eJ1aWUVJWyvxpChpOHudkdQ+pBTOIVinQxWUwK2jdI1EbksnKiOBuZT02IYbFT+9g9exEInUqZMjRxWcwI8nD9WoHs7f9iFU5cUSox4v2HszVp7nc7sWY5z9kZyJ6eC1c2v02H59rIWLhDl7ctYUVZaJ9RtkqOVt5nVZdvtj+BKtRmGqc+jMRm5I5SEMV05ZuZlV+5PgaXR2u0VT6NcHHev+9POZqTl9ux2vMY8nSuWSPG2NDy2/QsbF4Him68Im1JVNWr9EYjAnD4tR8FmbqwVIZWn8sJB8zTOJg4Acfy0W3e0T6H+NyL864cXc10qKZz7Zn/GOIOC93KquorrxGT8ocv0YDuk6lX4bC92411Gg42nQs3/E4i/MySc/Mo2Tj48yLALquUdO/b1Ggu+YA+650Q0w5W5bPJNL/yiIsOp+1j80lHDPn9p2hzT3akwbhttJiA9Bg0I1nID04szfzeNE0jGFylLoE8ldvZ0O6AiwV7D95d8ibz37kavQRSsBJZ0fvwEzkGCh00SQVrmNVzsDnEZT6DEo3lBGDjYtHaugWQK6OIiE5iVi92A1xtIWz/OmNFGWnk5qeTdH6xwJqaK06wOEmLxgXs31zEdMiw5ArdSTkr2Lb8khswWg3DLe1BVFKA4GkFOxX+XL/FbqJoXzrKrKjVP36xM1Zy4Y8TcD7ytV6RPk66egdW73heigjYklKSSElJZkEg4vaA/uoskNM+VZWZt9726UiKnslW8tjwF7FvoOitiBHbYwnMSFGfD4O7ijK2Ll9OYUz00nPXsjKZdkkxehQyECuNhKfmECMeDGOVi3Ltq9nUXYG6TMKWbF5JckycN04xHfGDTy1Zj6z0tOZtWAtW8pNQDe1Va04AfBivVFJiw/iC2eTdG/GVK4mrnAV5YnBNgF+fxELzdaV2dxb+KCKymbl1nJisFO17yA1YqHH1tA4+sBpvPofQm8NH//qf/FP//j/8q/vfEljVBk7fvYCa7Miggto7lYunLqNjzhKV+cGXmUQqt8Jdq5+uR8xtGxlVXaUv3MvRx03h7Ub8hhioQod0UmFrFuVM/CpC6WejNINlMWA7eIRUVO5mqiEZJJi9eL9HG2EL3+ajUXZpKemk120nsdEJ+VaTSduf95DTgMI3TUc2FeFnRjKt64ke6CyyV65FdHE93GwphsBUIbHkpwUh0EFoCTclEhKSgopKSkkx0WMOevmtd6gUjRQZifd62TLUccVsqo8cVgnJfS4PcKf7igo27md5YUzSU/PZuHKZWQnxaBTKImISyZzXhmz1EDHDdrUscTce8En1xAdDbfrHSQUFZOdGt+/zEzUyx+Ttixn5kCmyF/7GHPDwXxuH2eCakyCj9t4rdyobMFHPIWzkxhw7zgKV5UTrHsP91WQoY5KIDkpFvEnB23hy3l6YxHZ6amkZxex/rF5iE1CDWKToCQ8NpmUxGjE3R/BtHMq9HHJJMUZRn7O0W+7iTHawB1VZTixyUnEGfzxJdxEot/mUpLj/LE2YELCYwc9UxmOKdGfLiWZuAglE4l3Y6NAF51E4bpV5Aw4OfqMUjaITs6Rmm4E5CHrroyIIzlzPmUz1UAHN9rUxMZo+/1IIxotjsQiirNTiTdMZFPURPQQsF/9kv1+X926KpuBpjqOOWs3MLSpDlaj8epPNUxDkGtjSc6cR9mscTRKGKrRVPt10LE+UNIgYmyo+Q0+Nsom3JZMXb0qA8QpQOimJtT+WMixbeI86Fj+SPU/QqDHmc3mx4uYZrw3hljN9g3pKLBQsf8kdwcNiqbcL0PgL2agHJY+l8zBx9OqY0iLAuiho9u/OFjo5saZWpxATH7OiFkrTWI2KSqgs5KrnR7GRejF1gegQjvuKW5R5OfHDV12qohkRmEyMsBcWUlbwJGyjDCtmNE+myOIgbKSmIU7eXnLrBFLwZURsRgVIHQ0BgwEYemFwzQ0MS1axnAN675rwAsY8/KHfX5BjiFrLikTsCqh14YopTbAKeEC3TfOct0JROeRM7zi5DqmFZdTXJDCiBUqsjBE+fqwOYJ5zTBK/rqvc6a2D4gmL2fY4VCoiMnJIxroqzlLXcBGT0nGolz6D29HSfT8Hby8fXbAgZpqWgEZA+uokYfHkxQBoCNrTkr/Kc2gxJAUjwbo6bD324dMLr5Sazl7jpvdg8otj2LB87/g1WXx439zXOjm+pla+oDovJH+oorJIU8sNGfruid16NXY9T+MsGTKNm3jye1PsL58NhHNx/njm+9xoLqL8b3WRcupvRzrUJK2ehuliaN1IEPzO6H7BmdFAw1gH3J004opLy4gxW+gypiF7Hx5C7NGOimxopPSGNhJKcwcfIK7GtO0aGRAT0d34PIHlUag+/oZRBMP4GOqGHLEyqbmbB1BjRPGQiYX3xS3nOXcze5B+sqJWvA8v3h1GfH3sjAFcVuZsYjcAedDGT2fHS9vZ7bf+eThmRTlRwBtnB+8DAxwNJymqm8axfnRgwb/At03zlArZmqkXppEssVMUXm1Mwi7DCVuyxDdu4Wz524y1L0X8PwvXmVZ/LjeHQRhpBdmMrRJmIbYJHTQHbBQE23nHgGmOt4pY1i482W2zBq+lURJRKwRBQIdjYE6l0HqLg8nszifCKDtfAUtQ42W01V9pBXlEz3RDXYT0UPo5sbZ6zhHSSPXTaO4vJiCFP+2nwlrFCTycDKLxtZoWvFgjabarycR64Ni8vkdLzYOIdj25z7Xq2/S/bGJxLZgefCx/JHuf4xBVP7wMYSCyBmFJIuNBZX9jcXU+2UoPPw9ylOELkY/rDBK1Bol4MVzz/jcZho7/E7Tc5OL55uG3sTbJXbWsXDb7IKEceTxeXB5AWQoxh0cRgx9IwaIbzXjiOAWdmsTnU5IGdFvlyH339zr9OAb/t8BcWGureD0hRput1nocXkQfIDPLTqipw93gNgxUkMFYf6lSIM1bDL7ADnGROPI/aZhBmLC4aY9qIz24/O4xM6yTBHg7Y2bzsYOBEBuiCMyQNzQpJayLjXAjWVyf914cXqCUy8Q7s5G2sUMEBcgAypDHAY5mIV2Gs1uCgzDT5AKJzYyeHfTxQxfFq0kTAGgI2bYx31lqjAUgM/j8Q84FERmLyb7291caz7Ce/9SQXJOHrk5OeTMSiNarQluWZG7k0ax0BjiIkcOrFUG4sRC095oxl1gYKIfbhi7/oehiCAxI0L8e84c5hek8Yc393H6o98j++uXWZs2Wi682Kr3859/vkPUwmd4anH8GIfPheZ37s5GOsawDzSplA4zUJe5lorTF6i53Yalx4VHdFLcopPSF9hJ0Q8zI0WYGgXg9YwynA8qjZvOxvYxfEyFIc6AHDNCeyNmdwEjTDwEFJHZLM7+lt3Xmjny3r9QkZxDXm4OOTmzSItWoxlsoFMQt8NjI8dp7NQkL5xPTMUROi+doWFpKjN1gGCj9vQNZDOfZMaQjqMbsz8mQQ83L55naK68dImZwnLbjIuEIBrbIOO2IpLsxdl8u/sazUfe418qksnJyyUnJ4dZadGoNRNfNDgUHTEjDUc8OM/rGeXl0UTbuUeA+xHvXGZqK05zoeY2bZYeXB4BsUrFl0OePneAAXfwuquTFzIvpoKjnZc407CUVNFosdWe5gYz2DZzEl+PmIge7k6/r46SBg2ppesYEgknpFHwqJMXMj+mgiOBNJLN5MkZgzW6H349wVgfFJPP7/ixcRChtD/3sV5dk+6PTSS2hZTDBxrLH+n+xxhE3JupHoRcE01cBNyyW2nqbyzuj18Gy1/MQFmmkI/YmyiTyQDfQCdXcNHrf0liq7tERXOAheymRBJREaXwiZ3GMR8qRykD8CGM15OWKwIOpmUqjb8SXDjcXggwhBH8N5crA+/vHHpxL7cOv8+7x1oQIjJYWLyEaTE6VHIZuO/w7SdHaBmtOEFp6KbXA6AgLODUn3xC342WyZXis31CgEGJgNPhP/glLIi948PSivLJUSomvnFBcDrEt5+KsMD7H2QqMcgKbhyuQOFfjkIe/PPlAepi9PsM+rffaBXGAra9ouX04WOcq7pN89UzNF89w9foSVuwnA2rCkkIcIjVEAQnouwKwgIXGpVYaNwO16Q6M2PX/9goTXNYMvsI9d91cv54PeXP5PQf/jOAF3vNAd7/+BKqBTvYtW7moIPPAhOK341rH0OvpvfWYd5/9xgtQgQZC4tZMi0GnUqODDd3vv2EI6M7KSOrX4YM8I0mXFBpxvcxmUpsEAW3g4AmHgoKIwXbXkF7+jDHzlVxu/kqZ5qvcuZr0KctYPmGVRQm+JdkT0HcHt2fBlDFFrAo+ShfNl/j9HUb0wsMCOYqTt/SMPvH6cNsSsA1kCkuVTQHuL+JxERQRSnwjdeYhBS3FRgLtvGK9jSHj52j6nYzV880c1UUjwXLN7CqMIHx3Ht8ZAFjjWwsY5tEO/fQmeJ4J/Te4vD773KsRSAiYyHFS6YRo1MhVum3fDK6kwevuyqWwkVJHPvyDtdOX8c2vQCDYKbq9C00+btIHxkIg2cieoybZtgjJqxRCKhiKViUzNEvm0dqNPvHwzSaYr+eTKwPisnnN5jY2E+Q7c/9rtfJ98cmENuCztyDj+WPdP9jVOQoAjcWaPwjU5fDjdhaTLVfhsZfzEA5KOT+CnApSF39HM/lTqYVAeRq8cPovV5cnnGaTUEIOJj2uf2n76JCE9DCBTwu/xXh4x9d7zFf5MtjLQgksGrXTspiB1WxQ+g/MXHCyFVolYDTi8sdyDMExpMi4G3VOkQpXQHSywnTKgE3Xnews+r3suNBlE9F+CSOsJeHaVECbq+bgBPT/asLlGgekY+pq6JmUv7ETMo32WmureTShQq+u97JrfN7+J1Vzms7Csf+DJc8TKxrtxd34ELjEQuNUqOaVFwau/7HQ0V0sgG+68bd0YLVnYNuyGtKcZD83p/O45v/NLvWZzP+mROh+d249jEYj5mLXx6jRYCEVbvYWRY7KBA7ECbtpBNhfB/rn/VXaib0MmwEqihmlj/BzPJN2Jtrqbx0gYrvrtN56zx7fmdF/toOCo2KqY/bo6Ewkls8nUOfXKf+9BXMefNxXjhHe/QCnhixRF+OSswUitTVPPdcboCXM8ETetxWETWznCdmlrPJ3kxt5SUuVHzH9c5bnN/zO6zy19hRaHzww9GJtHMBelg+rzfkF2aTZkrjnQfzxS85Jjo5u3aWMbRKz01RP06BMXcxWYc+4Ub9aa6Y85jvvMC5tijmbU2a8AofYGJ6jJtmMA9So2KmH/qE64M1ao9mwROJw1YVTa1f3/9YP8X5nRLuf70+yv2xhxHLv5/9D6F/MmIIPjdO/9pplebeS/uHa+ePRo/+QaGKJi1GPK3UNsp6eo+lnsrLV2nuCaK3rjAQrwfow9433vWD9vn2I+C0tNMDoE/CFPBDYB567S5AQaRp+NLokbjNtzAD6NOYNmKpr29Ss34AqKJIjhLzbmu1jtxj4unG3Bv6bRUG8bu29NkZKaWK6NQYZIBga8c+ouIEXOZ6qqvraHcOS+zpRZQvEtPwNSMhoIpOJUbMAG0jM4DH3oZNAGQxpEVPxf7AySDgtrfTavZ/ckGpJzm3hA07/4bXdy4gEnDduMCt8epJFU2qWGhsbfaR/uKx0yYWmpi06PH3PI/B2PUvYL+6l/c/PktbwM0nAx02ZPJhbzzFQfK7fzyPb96wQbKng4sHv+B4szPAPUPzu8H20R7APgSXmfrqauraneA2c0t0UtKmjVz25pu0k06EwT7WFsDHPNjbbIgmnsZkTVxw22lvNfvrWok+OZeSDTv5m9d3skA0UC7cM9CpjtujIkc/vZhcHdBylgtNDZy71E1y0WxiRhiAiug0US+vbZQ9bR4L9ZWXudrcM27cDSluC27s7a2Y/Y6i1CeTIuHxjgAAIABJREFUW7KBnX/zOjtF8bhx4RYTCMNTQPDtnEzu/7anp4+h71wFnDYrgbzyvjKl8c6NWXRy9GnTGFmlU+fkcv10irK1QAtnLzTRcO4i9qQiCkyTnAeZiB6D07QHSCO4MNdXU13XjlN4sBoVi47t1+gS3clFzB7h2FPr1/c/1k9xfqeE+1+vj3J/7GHE8u9r/yPQvmbBaaFdbCxIMt37VvvDtfMf1kBZrmf6wixUQEdVDeYRNeSg7tDHfPLFBazBvM5W6klOCQf66OzqG6dyOqm+NmyTudBN/aVmBCAydzbxgfZtuWzctQNEkxE3/sYuuVonNlhO6whj8thbsU5284U8gqy505AD5uqrdAwZKQt0N1ymaQI76ZX6ZEQpO+kaMVKSY5i5kEwV0FlN7fCKExzc+OqPfLTnAhZhqEm7bHcR5csgCPlGRW6YyUIxA1TXmIc5twdz7VU6AVXWAqbrH7ZbeWg//SFvfVwpNhb9yIlIzSFNQ/9ymTGRG5i5MBNR9pH+4jHXclUsNAum6ycVTMauf/DYm6mvvswtewAD9tq4ea0DAF3qNAY+Se7Ffu1L3v3jeQg0k+ztpvHyBWq7AtwzVL8bbB+1w+1DwHHjK/740R4uWMSTJMUZbyfWkU5K66SddCIM9bGakZVNrVjZZC2YPnAISv8ZAAPbTzyWar7Ze5AL7aMf1eJpP82Hb31M5VADRR6RSo5ooOIyOJj6uD0W2lQWFRqBLs7u+YJKTxbF2ZEB3ubL0U9fSJaYqZF6IeCoO8THn3zBhSAyFVLc9rRz+sO3+LjSNrTNkUeQmpOG6N5T/H2MoAm+nZOrDUSGAb1ttA4+xcZrofbS3TGeMXB+gG/A6Kj+Zi8HL7SPeUCQTO4/A6F/i4cHS/U37D14gXbvVMY7OWr/shandXhn0IO91ToF+yDvoWVaUQGRQNfZPXxR6SGjOFv83NZkmEj8H5KmdkQawXGDr/74EXsuWBDkoWs0Zv2NeTKUltRFhRgZ0CgroEZT69dTEuvHjLHeqc3vlHD/6/XB9sdcdNZe4rsLlTTYxu/cPoxY/n3tf3RWX2Po+ZsC3fWXaBYbC2b3D4qm2C9D5GH36EciuOi2Wuiy3/ski5c+uxWLpXvovjhPH3aLlR7/DKLg7MZqseP0invobBYbDo+4Od3Ta8Ni7cEtyDHkbmDdTA20fcvub28MzJwITlovfMHeKidJZSuYPt4GRgDUxOdloQU669uGvQEXcNotWGwO/8FZGoSLn/NVVTtOAfDYuHl8N/vr3BAxm3VlyQEPFhIcd7hlBWJymGEc/w2xOmEOuZGAq4avv7lClz/IeLtvcnzfaToBfG4cNgtWm30CGiowzl7LkkQZdB7jk4NV/llcD7aGk+w5dNd/EI+/3myO4E6gU8eTl6UFOqlvGzmXIDfksX7NdDS0cWTvCRod94zBRWfVVxy45iG5bAkZ2sGpBBx3biHKN4Px5BM8Dmwj9LD4y2Agb/0apmug/cgejjc6/IFNwHHrBF8caQP1dNasy+s/xdrTZ8di7RHrGwFntxWLxUp3oD0zo9qzgLfPjsV2z/694n26XQiCh16bBVuPf3+Ytxe71YLdKQYKb8txjlwdfBK0m85rFdT1QVjWXNLGXbsix5C3njViodlzvJF7sguOW5z44ghtqJm+Zh15/kKPqeFYb5LGqX8AfE189fkx6gc3Vh4r17/9hC8bvaCezoryVP9yQwF7jThI7vRpUbad4pP33+Gddwb9+fBLakaZgQzV75AP2Efbkb2c6LcPcHVW8dWBa3iSy1iSoQV1AnNEJ6Xm62+4MuCk3Dy+j9Oik+J22LBYbditFqw9zv49gN1WC3bRSXHYLNgc4lJpn6dX1N7tps8eahphkI+1c2TP8QEfExzcOvEFoomvYV3eoMNv5BqiTVrAQafVhYBAz82znKyoxSqM08B7Wzh+5Cpdg6rT3XmNCtFAmdtvoBOI2wH9yYK1e7y9pWHEz11IAuA229DmFpE1SlsgN+SyYd1MNLTx7e5vuTGQKZytF/hibxXOpDJWTB//s2UhxW2HB/DScvwIV4eKx7WKOvoII2tu2rhL0wL5qrn1Dnc77UNjlt2JF0G0R5tDXNrnE2OPtWd4LzaEdk6dSH56GHCXI/uPc625nY679Zzf9ynnifYfUOjAZrFg7xvceZOjiTahBRydVlwCCD03OXuyglqrMOYLQLkmGtFcO7GKCbl59iQVtVYEWejxbnTUJMzJFVfv1HzNN1e6/AN4L903j7NPdHJ8brEObHbryLYiBN3DEuaxIA5wm7GpsynOCu3FpeC0Y7HYcLgFwIe314bF0oM6O1Q9BmnYdoS9JwbS4Oqk6qsDXPMkU7YkA22IGvW4hTHqz4K7zzZSw/7+F4TFz2Vhgl8jbS5Fo3xOcCr9OqRY39VFV5cFm0M85Mrn7RVt360aM8aGnN+QYqNnAm2Jagrr1YrXG6BPYYOM1asn3x8Lxse83Vz/8272fP4lFzvHH0Q+jFj+aPU/Rm9hh8YZ0AgX+fyrQWOIm8fZvb8ONxHMXldG8qBB0ZT6ZYjI/uEf/uGBbwUaE8cV3v3fH9MwIlcpbP37FynwH3brbjnEv715nK4h18Sw/LWfsMj6Kb/8sHrowFWeyVN//5y4rM7VQeWhPRw4e4setZG4aA2CvZ2O3kiyl23isdL0cQ/66cd1h0NvvMVxRz7P/O2T4kmpAEIXZ9/6FfvvvRiXp7Pl2RxqPj/AVYsMOQICoIgtYOP2jcwLOGvlpevcu/xmXzPJG37KjxdFB7XnzNV6nj0f7aeqUwC5FoNegculY2Z5AbZvvqbB7+uK1BwMt69OSEOv/TqHP9nN8QYH4sEIPryqFEo2l+M9+J+csfrThM/lx3+7mfQgNku57hzijbeO48h/hr99cmaA4OCi/dLXfH7gHE19OmLiI5E7Omi3a8laspmtS7OG1pu3i3Pv/oZ9zcls+OmPWRQ9tnp9dZ/wyw8q/SfoDkJbwHOvbyVTDa72S3z9+QHONfURHhOPHjutnT1oUxeydtNqCmLv1aOblkP/xpvHu4bdTMa0J3/B8/lDSze6Pb/EzMo3efPYsPskbuD1XfEc+z/vUNE99L8SNvyMZ2IqOfhNBVfv2FHoTZj0KjzdHbTbfMRkL2PTphKmDf80wGi42rn09eccONdEX3gM8Xqwt3bSo01l4dpNrC6I7e/8BqPhqI8Zo/5dbZf49s+nuVzbQregRB9jIiLMQ3dHB3a3gqisIlauX0a+qT8n3Pj4l/z+yoicjCDtyf/GXw+pj4n5HQy1D11MPJFyBx3tdrRZS9i8denAoMvVyvk9H7G/qhMBOVqDHoXLhW5mOQW2b/h6wEnJibjNVevQ58Qsf42fLLLy6S8/pHqok5K57VmS/vwew01vzDRP/b1/7+9gHwsnRqxsOnu0pC5cy6bVBcQOC1Wuuyf4wztf0+CKIDZejf1uJ5qCJ3l+U/6os1qCvY6jB76h4uod7Ao9JpMelaebjnYbvphslm3aRMm0YZ8WCSFuB/YnkE17kl88nz92x0OwcuH9X/N5QyTlr/yElYljLd1z0VF5iD0HznKrR40xLhqNYKe9o5fI7GVseqyU9CAbk2DjtnL6Zn6UcoNvKq5yx65AbzKhV3no7mjH5oshe9kmNpVMG/FpkuGM6qvDiVnOaz9ZhPXTX/LhUMNBnvkU/89zudB3g49/+XuuuEJr5zxdl9n7+91c6rzX4MuJzt/A1vybfPjHK/15i1n2E362LH6QWHc58Yd3+LrBRURsPGr7XTo1BTz5/Cbyx5xKdXH3xB945+sGXBGxxKvt3O3UUPDk82zK968cCCHejY2L1vN7+Gh/FWKVGtArXLh0MykvsPHN1w39XylIzYng9kgnH1/3fgQsFe/x672NGEpe4rU1gV+8B0ag6+xb/Gr/8Fl8sS+w1NgVuh6DNdTFEB8px9HRjl2bxZLNW1naP0gNViMlM3b8HTuzFaPU3zPk1/yODyuHWbM6l52vP8UMrVhO64X3+fXnDUSWv8JPViaOsXx+6vw6+Fgfi9HbjmV4LSx/jRdnXedPY8bY4PMbUmx0t3Do396cQFuinKJ6fZ412kP8ZkScUpO783W2GGsn1x8LxsecDXz+63e50JvGpp//mHmR49f7g47l/c99FPof/X2J4QyPM3LStzxLTs3nHLhqQSYHQWwsKNi4nY3z4gLEsCn0yxB49AbKDxDB2UVLUxvWPi/KiBgSk2LRh7zxX6Dn+h7+/cPLGFa9yl+XxY29n9HbS0fzbdrsAmpjAqmJRkY7Y0rovcn+f3+P85qlvPzicpJCWTosOLG0NHHX6kSmjSIxJR7DlB9q4MHR1kRTRw+CJpqk1Ek+Q+jh+p5/58PLBla9+teUxY2ipODEfKeJNlsfqI3EpyQSNWJ/t0Dvzf38+3vn0Sx9mReXJ4XQcRg3ozjNd2hqs+FEjSEuhaRo9SO4PAM83e203O3E7vQiC9NjSkwiNmJie9cEp5k7TW3YnKA2xJGSFE3AbfUTJZj69/Zhab9Le1cPTkFOmNaAKTGeaO3UnUs4Kb8T79BvH32oMcankBgVyD4EnJYWmu5accq0RCWmEG+Y3KFoU0a/jzlBbSAuJYnoMSpbcFloudWCxSlDZ0ohNT4iuJMiPd20t9yl0+7EKwtDb0okKXbstFMTt6cYwUlXSxNt1j68yghiEpOI1U+gLkOK2x6621vEGWCvjDC9icSkWCbo3pNj0EB5+9//mDx18O0c3l46m5to6/GhM6WSEqsN7sWU4MLScosWixOZzkRKanyQZRdwWVq41WLBKdNhSkklPkDCqYp3gtNCS9NdrE4Z2qhEUuINU3MY3jCcDXv4zft3WPyTFymNnXojmIge/Wn6QG2MJyUxKmCa0DQKrv6mhKny6ymI9UHF2CnL79TwYOr1fvbHBBy1n/F//nAZIfcpfvpkbvCTaA8tln/f+h9eejuaud1mR1AbSUhNxDjewbsP2M5/0APlKUPo4/bRD3jvqJP5O3axdubk9msC4Orgu0/fYc+tVDa98CTzRp4m8xeJ0Hebox+8x1HnfHbsWsvMCe4vcXV8x6fv7OFW6iZeeHJegMN4JB5Fpqr+J8wP1O8kJCbF8IHywz969weGg9qPf8PHPWv46XNzCWLSS0JCYhzcHRfY/c7nVCvn8vQLj5Ez/ucyJP4CkcLpVCDXkLrkOV7ckET9nk+5bBt9jX5wuLhz7CMOO+bw9Ms/rM66XJPKkudeZENSPXs+vcyEpHTd4dhHh3HMeZqXpUHy94opqf8J88P1OwkJie8TfdTv/z17rtoRAK/5CsdrZcwqmcVDP0tSQuIvAgF3jxUhbSk7X5QGyT9kpBnlKcbba8OpMqCbVB9bwGl3IAuPGH252l88XnptTlQGXegf+xac2B0ywiPG//6txKPKJOp/wkh+JyEREoKdq/s+4XiLnY47nThREJ2YgD5uEVs2FRAl9S3vEw6qfve/+a+OdObPi6f32jmu61bx8nOLuQ+rriUkJCR+sEghdYpRaA1T8CFsOWp9xBTk5vuMAq1hgkrK1fzg5fveM4n6nzCS30lIhEYY0Zm5zI4VYM7Ar/LwWDQP6wtVPwhUJCwoZ15NK9a7ZrQz1vNc+TxpkCwhISExxUgzyhISEhISEhISEhISEhISg5AWGEpISEhISEhISEhISEhIDEIaKEtISEhISEhISEhISEhIDEIaKEtISEhISEhISEhISEhIDEI6+kFCQkJCQkJCAgABp7mZO91aElJMaMebThCcWNvbsfT5UBtMxEZpkQ77lpCQkPjLQBooS0hISEhISEi4u6g59gV7j9bRrStk18+3kKEOfKnHUsvpo6eoqLqNOyqJOJ0Pa8ttutSZLF77OMtzo6QOloSEhMT3HCmOS0hISEhISPyAEei9c579u/9MgyaVCCV0j3d9wxEOfWej8Kmf8VhuJEpAcLZw8vdvc+ij93H/+GU2pGsfTPYlJCQkJO4L0h5lCQkJCQkJiR8wHqwNzWgX7+K1naUkjTKLPJywhFKWzIrsn3GQqxNZsCwPLV1cONVI733Lr4SEhITEg0CaUZaQkJCQkJD4ARNGQslWNgA4G4K4Xk54ztO8lqXBMGxDsjIiCh3QabPjFBh/j7OEhISExCOLNFCWkJCQkJCQkAgBudqAMcDMs6enCwcQkRgrDZIlJCQkvudIA+UHidfOze8u0mrIY96saMIe5LP76vj01x9w2eH/d8wSXnl1BYmqB5kJhmhQGHeD9361nxb/fykynuL/2tTNh8N++7tdueiCvb+rk6ojBzh6sZ62Hi8ypRZjfDoFqx9nSbruB7XXoPfah/zrH6/j9v87cf3Peako6gelwURxdVZx5MBRLta30eOVodQaiU8vYPXjS0jXBa9gX92n/PqDywy43Su8uiKRB+12wBT4hkDX2f/gV/v7vZOMJ18k58SbDPyUwVN/t4vcoB32/uC13+S7i60Y8uYxK/qBRlqJ8RC6OPsfv3rkbGZq6KXp0g16ZYmsKk4hyBXcEhISEhKPKFKf+QHS1/AVf9r3DQc++oLrPffhAYKTjuuXuXj5Gi0OYej/hU1j3auv87NdpUQDCL77kIHxGaxBnbKAZ15/ndeemEkY4PP5kEeO/C14eqk/+B7/daIRXfFOfv7f/juvP1tKZNs1rrU6eTglfnios7bw09d/yo/m6QHw+f9IjENvPQff+y9ONOoo3vlz/tt/f51nSyNpu3aNVmcABcfwu7Bp63j19Z+xqzRavPShVcBU+IacyIJneP3113hiZhjgwyfTU/DM67z+2hOIP/keARvro+GrP7HvmwN89MV17keolZgE8shH0GamBuft4xy47CJ11RYWxUnzEBISEhLfd6RI/gBRxeYyO7WFJmM+CffjVbOvhxuHPuVAq4GiFzJJ1A2aSZEr0RmMhPWpH+rbkSEaaNXolWpUHaqBPMnV6I3DfgsWRwOnLttAk0/5wkyiNMC0haxaauF6bBiyKS3Jo49cFU6kUYVdLb0PCwVHwylEMypnYWYUohmtYqnlOrFhAaxoDL+TK3UYjGH0Pew6mCLfkKv1GNUqOlT3yiNHrTeiVnWgemTMTEVs7mxSW5ow5idIs3qPHI+izUwej6WSvR+dwTd/O08tjn+wK8YkJCQkJO4L0kD5AaIw5LDxhZyHnY2Hyv3UwOMwY3UDEUa0/QesqEkpe4yU+/JEib88PDjMVkQz0jJgRimUPfb9taIflm8oMORs5AceaiUeIF5rNfve38ud6U+wa/0s9H9BLwAkJCQkfsg8egNlj4Oujk5sTgjTRxNrDEc5ZqPjpberg06bE5nWiMlkYPzJm4mk8SO4sHW0YXGpMMbFYgib6hZRwGXroM3iQmWMI9YQdn9ngEMpj7fXXzcytEYTJsPDnZ0egeBFXPgqG3WGTHBa6Gi30SfTYDCZMIYw0+fp7qC1swef2kC0KQrdGN4jOG20t1vwaEzEm3SDHM1Lr6WdDruPcFMc0VrF6DeZiJ16euho68QhaImKi0E/gWkNwWWjo82CS2UkLtbAmCYeqk2E5N8eHP7yE6YnOtZI+NjBYIxCObF0tGPrk6ExmDAZR8+n4PUvn5bdvzUI91XjgA8c3zdC0Sjkx0/C7+4bocS+EX41ufx7e7vo6LThlGkxmkwYplIPwY3DZqHL5kAI0xNjih4zVg2kc2Jrb8fi0WCKNw1J4+210N5hxxduIi560AukUfHS29VGu82L2hhLbGTothSaRlMYK0LNp+UKX7z/OY3TNrPrsVwiFYDgxe31oVApH602UkJCQkIiJB6dgbLHwrXDe9h/qh6bIhyDTobT2o1TYyIzZx5LVhWTHj64yfFgqTnK/oMnqTX70Ol1CN12+lQmskvXs7EsC/2I1jyENM6b7H3jQy5Yxe6lMn4pz64P4+RnX3PVfG8fop7pK7ezrTRtnNMtndzc+wYfXrCKnVVlPEtf+CvSzr499Ldn1xN28jO+vmqm/wnTV7J9WylpYz5AwFLxHm/su0WfAGDjzG//mXP+JGGpG3hl1wKihtzCh6vlFH8KpjweCzVH93PwZC1mnw69TqDb3ofKlE3p+o2UZemD6DgF0uAFlsZPgQneqyuLR7x31zHe+qcTyABFTDG7XlpDQm8tx/cf5ERNJ16tnnBfD/Y+BabsUtZuKGOG4V4+AuTz2Y1oTu/mqyudeO89M3EDP39pEbrGvbzx4QVEM1ESv/RZNmpP8cmBarr8smqSi9n69Gqmy+r59tPPOXaz238TLdPKt7N9eSYRQ+pmArYtOLh16gs+P1xNp8f/myySmSs2s2jYdvUB2UbmfX3YST77+ioDJjGdldu3UZqmHdrhC9UmQvJvD5Zrh9mz/xT1NgXhBh0yp5VupwZTZg7zlqyiOD08uA6ox0rt8f0cPFFDp1eLPtxHj70PhSmb0rUbKJth6A+C9/SweMTCdx17i386IQMUxBTv4qU1KcOWU07A73wuWk796f5oHIggfCNFHrxGoeKxBul3jqv84Tcfc8M5kFYWnsuO155khhYQLFz4/Zvs65zFjle3MF0L4KRx35t8UGHxx0sVySs3End+z5C4/cJfpXH27QnG8jH8qth1kP880S7GBHkUC557mQ1pYy/09lhqOLr/ICdrzfh0enRCN/Y+FabsUtZvLCPL79he8xneffMgze6BtMr4Jfz1Xy9BW/U+/773Fq57v8eW8/yLy4l3N3Lqq8NUXGnA7NGgN6jw2O30+vSkF63lsRX5mMII3LZt1HLqkwNUDwQtirc+zerpMuq//ZTPj92kP2pNK2f79uVkRshBsFDx3hvsu+3PjWYG23bmU//FXipaXP15j0gvYeOWFeQYx7ekYDXyXz11sWICeCxVfPHe5zSmb2HXY3niIBnwdJzgPz5oZc3fbGe65j49XEJCQkLivqNYtmzZPzzsTICHtpMf8O6RuySteZFXd6yjvKSE0sW5RLZXcPryXSJmLyCzv4H0Yrm8m7c/Pk9rZDE/euk5Ni0vo6xkDibrJY6eOkNNbxqzp0eh6p8+CTGNXEdcxixy0+XUXWnGIXjpqGvDWLSetUsXkJ0Ad+tu0VTfgG/mPLKGf0xxCHJ0cRnMyk1HXneFZoeK1PlF5GVmDfpNwNtRR5uxiPVrl7JAfAC3mupp8M1kXpZhjE6xDGVkClnZmWgaq7jdqyN/804eL5vP3LlzKchJITpCnJkWeho5f+4mDrmPzrpWDAvXsqZ8ATPjfLTW36Z5eHm8Fi7vfpuPz7cSWfwjXnpuE8vLyiiZY8J66SinztTQmzab6VGqcfY5BtJgIZl6BR5zNacvt+M15lFSGIcKAv42+q39dZWhoL76Dk79XJ54ZiMl8+cyNz8Dk3CdPb/9iLMtehbteIldW1ZQVlZCQUIf1UePc6rSTEzuLOI1cjGf8Znk5GUir6uiqUdA6KihUTmH1WuWU5wXj7uxjnbVdIrnpaALjyczJ49MeR1VTT0Ivi5uthspWrea0oIMIuwN1N9uoLY9DKH6OLcTl7B+ZQmzU1SY6xtpaqijL30es6LudSAnYttuWk/8nt8dqqNHn8f6Z/6KpzatYnFOJB1nv+TMXQeOXoGIGcXMTxkYjMl1cWTMyiVdXseVZgeCt4O6NiNF69eydEE2Cdyl7lYT9Q0+Zs7LGvheaMg2EZp/e9pO8sG7R7ibtIYXX93BuvISSkoXkxvZTsXpy9yNmM2CzCAGiV4LlZ/9lo/OtqBftIOXdm1hRVkZJQUJ9FUf5fipSswxucyK1yAfpEeGop7qO070c5/gmY0lzJ87l/yMOPQaxTAbD9bvBHoaz3PupgO5r5O6VgML166hfMFM4nyt1N9ungKNJ+YbceF9VIegEf76NFef5nK7F2NeCYVxKvCYqT59mXavkbySQuJU4LVU8lmwfqeIIDEzA31rJXVWH4nLd/LUslwSIrWoZCBYr3Dg4BW6+iwI6fPJjVEBcrSx6cxIhfqrfcx96mmWzkgiY2bOQNxWpTK/KI/MrInE8rH96nSzjW6Hl+iSp/nRmvlMjzOgUY5eG17LZXa//THnWyMp/tFLPLdpOWVlJcwxWbl09BRnanpJmz2dKJUMucpIyvSZpMoaqW524DMUsnlrCakGDerIJFIjbdTW+Zi77WnWzs/EFKEGyyX27r2Ir3A7Lz//BCvLSigrnc80RQMnj5+kuieVghnRqBQ64jNzyMuUU1fVRI/go+tmO8aidawuLSAjwk5D/W0aatsJE6o5fjuRJetXUjI7BZW5nsamBur60pk3KwqlTElkShY5OfF0XanF7OzD3NiCZv42nnlqE6sW5xDnvUNlVTWV13pImTOD6HuBK6DNBK/RhGOFx4HN4UMVNtyfB3yv5sxFWkigsDibqFHG9h5LJXvf+YRLzjTmZGnoamqksdH/51YDN1tV5BTlEf3oTEdISEhISITIo7EqyGvlRmULPuIpnJ2Exp8ruTqOwlXlJA7rEQvdNRzYd4VuYijfspyZkf6WKCya/LWPMTcczOf2cabNPfE0cjVRCckkxerFQZqjjfDlT7OxKJv01HSyi9bz2LwIoItrNZ24GQs56qgEkpNi0feP+GTDfnPQFr6cpzcWkZ2eSnp2Eesfm0cE0HWths6xH4AyPJbkpDgMKgAl4aZEUlJSSElJITkuYuSMkKMN3fIdPL44j8z0TPJKNvL4iPIIdNccYN+VbogpZ8vymQzIls/ax+YSjplz+87QNk7+AmswRQyvK2UEsUn3yq6k/uA+quwQU76VldlGvxYqorJXsrU8BuxV7DtYQ7fgz6cxnsSEGCKUAA7uKMrYuX05hTPTSc9eyMpl2STF6FDIQK42Ep+YQIx4MY5WLcu2r2dRdgbpMwpZsXklyTJw3TjEd8YNPLVmPrPS05m1YC1byk1AN7VVrdybSJuQbVurOHC4CS/P93kxAAAgAElEQVRGFm/fTNG0SMLkSnQJ+azatpxIW+DKkaujSEhOItZfIY62cJY/vZGi7HRS07MpWv8Yoklco6bfACdgEyH5txfrjUpafBBfOJukgYuJK1xF+fBgMCr+fIoVz9aV2dybzFJFZbNyazkx2Knad5AaseJH6KGMiCUpJYWUlGQSjIG3QITqd442Hct3PM7ivEzSM/Mo2fj41Gg8GmP5RoIBV21oGgWN0E3NgRD8Tq7FlJzBnAVpyPHR3uQiKj7aP7srYK+/RJMA0Efd5Tv0ioVDHRWLztZEj6mQudNTiNOHDy0vgGxisTxYv1IZ4klKThh7OblfD7FKt7B8ZqRfjzCi89fymOjY7DvTJj5fGUFc8jRmr3mSZQkysF7g+DUbPjnIsVJ54iZRy55kZV4ayfH+pfsKHdFJhaxblUP/F7GUejJKN1AWA7aLR8R6lKsxxieSEOO3T0cr2mXbWb8om4z0GRSu2MxKMWhx6DsjG55aw/xZ6aTPWsDaLeWYgO7aKlqdAErCY5NJSYz2733vwZm9mceLpmEMk6PUJZC/ejsb0hVgqWD/ybu4hmszUY0mECsEx3U+/83/4l//5f/jD991Dfk/T+sR3vwf/8g//s93+a4HcFzkvf/5j/zj/3iTo62eYXdy0/HdYS5Zgd4Gzn77Z/7854E/356ux+FFQkJCQuJ7ziPyrlOGXAbQwtlzN8lakkGEv42TRy3g+V8UIg+71+0R6L5xhlonEJNPjmnYqEuTSHaKigs1nVRe7aQ8IQHlhNIMIyydwkz9oM6yGtO0aGQV3fR0dOOBSX4bNYz0wswhh4CoTdOIllXQ3dNB9+QfMOxx6cwdVp6YtCgYXB6hmxtnahFly2GkbNmkqC5Q01nJ1c5yEhIeEXMahNB9nTO1fUA0eTmmYRKqiMnJI/rIUcw1Z6nrzqbAMLyzqyRjUS5RioF/R8/fwcvzAz9PNa2AjEHrqOXh8SRFQLNdR9acFLSD7mtIikdDBz0ddv+S7gnadt13NHgBYx75cUMXB8sNWcxNkVN3c/yBTlh6IZlDDZBp0TIqunvouGeAE7KJUPwbZOLFtJw9x82sJWQMXMyC539BoTxsfFcQurl+ppY+IDpvZD5VMTnkRR/hqLmGs3XdZBcYHshbw7D0ucM0jkF0u8lqPAHuo0YT8zs5EZmFpMkbaGi4RGNvLrnhgGCn/lIrkbMLkFVewnzjEnf6ssjSAF4LtZc7iJo9a9SZvxEEFcunzq9EPW5wRnRs8kfooSExOwXVhRo6K6/SWZ5Af5WGJVG2bQ31bxzk1rH/4tC0Z0i78DnVUSt5cXHCkK0AypiF7Hx54ciHKyOINSqgs4PGTjdzDcOWh6umUZARMejLA+HEi0ELXdYcUrSDbmVIIl4DHT0d2AMOBKPIz48bukVBEcmMwmRkDbcwV1bStiSJlABnJ0xEo1BjhdDTSrMVwMndZhvMixooW/xSXvm/lwYqVABUJKz4W/5hRZCXS0hISEh8L3k0RjaKSLIXZ/Pt7ms0H3mPf6lIJicvl5ycHGalRaPWDH4z7Mbc2OHfk9bDzYvnaRpyMy9dfeLfLLfNuEhAOaE0w9DFoB/2oyJMjQLweqbi1bGOmJEPQC0+gCl/OR2gPEq1BiWDyuM209jh7wj23OTi+aGq4e1ClM3CbbML7tdAWeil6eI5rlsHqyBHlzqXBdPHWpIO7s5G2gVAbiAucuTwSmWIwyAHs9BOo9lNwfBO5P/P3p0HN3nlCb//6pHkVZJlSd4XjG2MN/DCGjAECAmEBEIngZBmhnQmk7UzM113+la9t+rWW1236tadunXrrUx6pifpmXQ6naWnQ0M6bIEAcQiE3QHbYGODV2y8ybYWS9b66P4h4QUbb4EA6fOpSlWQ/CzndxY95znPOQ/RxMVMPV1RxlsfCVYRpgSIwqgZ/Y1CHYYSCPhu5u8My3ZbHwFA0iehH3MBGobOGA1N9imd++iUKgkLFkCGivhMysS06reSmNyHyP36M660H+OD/6+ClLwC8vPyyJubjiE8Ygrz4QFvLy3BjEcXHzO2Y63WER/MeHpa+vAW6X6Q1wiNjbGK8AgV3zvGM3EXYzTTeidpZlOUJtHc0kRlq4P8vGhkeyMXOzXMe3Qpyo5Kys3XqLrhIiszAr/lKlVmPYVzDVP/MZtSW37n6hWAt6+F4Sy9yNgsHarY3JqlqrhFbH6igXf2XOPcR7/lfGQWm19dgGmcBHv66qk4fYG6691YHB58cvDt6d4BP+DD5R2nYx9lHLPmgSrYaBFl1Iyubwp1sD0L+Bj/Z08z9ETGMIkIQzwaWrFb2+h1M25Hefoxmn5boTIuYPOmQSq6oiko+/Gt9y4IgiDcWfdHRxkl+qJneDXyNOXHz3Hpeju1Z9qpPXMYtOksXL2BtcWJoUc2ZTyDoYfjbA1UVrSPM8/IRFISqGOVBGRAmsk2t3ytUIZGxUZ+FlxBNhD4Xom/uTOUYw8QXHj3zhzgll1PIT2yh+GwVVLRPs6MLlMSSaiJVQYYL2x3RMBJ6+mvONY9+mPtwtkUT9JRlt3O4GN6yrARc3pHUKiDNyNkL07PeKND0jj5cnuSUrrNnNHx9jPi3zMupzLeweBjgcqw8d89LU3xZaWKcc5dESyADJXAGZWJ6dRvUOqLeObVSE6XH+fcpeu0156hvfYMh9GSvnA1G9YWkxgxSZpkN85gxhM2fsajDmY8XqeHaT5YPGN3L8YzcBdjNON6J2nJLEpFammlqbIVZ95cfI0X6dTksz4hDmmeifJyM1erbuDOnIXjaiVm/TxypzMRdEpt+Z2rVwCyZzD0uLCNhsoKxs/SJFDHohzzA6TCULyRJ2r/nc+uelAmZJM2djU/BlvL+cPvj9Mha5i9aCkrZxmJUkso8HLj610c67jNyUnjxGPoq3HK64hjjil5khLlOGFRqCNCFxsenF4/jNNqzyRG024rpEiSSx8lefzkCoIgCMIo90lHGUBNbM4Kns5ZwSZ7O/XVlVyo+I6rva2c3/M7rNIbbCvWo0RCHaECPCjTHmXHjnyiJt33TLYRkNQEw6Yk7dEd7Mi/R1FTxlC09TVme0ffMFBGGyd9BFcKi0QFeP1efOPdbwj48PgBVERM48L37phh2Y5UAW78Hi/jJVH23cFu4IzLxFTrd+ivY3NY8XQOKzbZaa+vpvJCBd9d7aX1/B5+Z5V4Y1sx+gnXzwsjMpjxeMfPeHzBjEcVMX5H6J75oerdXYzRzOudhDarmFSpldbGSloHUnBVdqLJX49JrUKRW4ip/GvMV6u54Yyhq9KMfl7uXVgw6c7WKynUUfQo03h0xw6mm6X+gVbqbvgIk8DTfJC/nM1gx0Nxwz/gvj4ufnGcDhkS177A9rIR3+FEPvcDlXBZRh4nWAGvm+BtBzUR4945mXmMvndbIQiCIAi3cX9cH8pe7D1d9LlCr6vQppC/bAPbf/4Lti+MATxcu9AaWsBFjSHdiALw20Jzd2/ls9BYXUVtu2PotSHT30ZAbSDdqAD82EJz927lszRSXVVLu+NuRk1FtCmRpKSkUf/FT+Ed02pDGkYFINvoto9Ngc/ejU0GFEbSDXd6lbHpmlnZjk0JzrOTbV1Yxyzu5GOgb/AOnuIMysS06reM195DV58r9HouLSn5y9iw/ef8YvtCYgDPtQu0TpYktYG0YMZj67aPPU+fne5gxmNMN9zR6f/f2w9V7+5ijL5PvZO0mRSlSOBp4mJdLRc7osnLD85ZVRnzKDACjnoq62uoNOspzJ3GY9dTT8EdrVdqQ3owHn5baC762P1ZGqupqm1nTJb6+rjw+X5a0jfz8gtlxOGn9ctdHG8fsSyWt4/WPgAt6bNixsQj8IP9qDnGSZ+M29KDA0CbjOk2i55NP0Z3qK0QBEEQhNu4PzrKvh5Of/xbdlbbRndSJQ1peelEcPPxRAAJbfYistSA+RJ1fWN/lJ0NR9i5ax8XrIHvsc0DSCGFHnsLDN3V91lqOLr3EBd6Jl2WeixJS/aiLIJhq2Ns2Jw0HNnJrn0XuF/DJulyWJSpBnqpqeu7pTPgo6++ll5AnbWQbO29rg4zK9uarBJmSUBfDbXm0fksDzRT1TbeRedMT3EGZWJa9dtHz+mP+e3O6mBHaviP0aTlkR7840leRQZIOnIWZaIGemvGnqevr57aYMazMFv7/RrCB7Xe3cUYfa96J+nIKk5BgZu6w0dpjc6n4OZKYyojeYVGwEHVl8foiimc3mPXU0/BHa1XkjabRcGKzaUx8QDZ2cCRnbvYd8F6y+i1h67Tuznck8umJwqJm7WSZ9emIAU6ObbrK5oHQ5VECidKDeDGemsn02eny/pDLcHcS82V3tHpkwdorGxHBmLy55EwzvxkmEmMZtJW+LA1f8fJs1cwjzvVRhAEQRCG3euewQh+Ok4co7Z/xM+jt5crFQ24CCOrJH3oMVRJl8+G9TlE0M3Xn33NtaERCxl31wX27b2EO7mMNdnDK3lOfxsfLrsFq8MdvLiX3QxYLdjd/uC8OpsFm9NHAAj4BrFZrDjGWygldAyf04bF6sAduhPuHrDS29ON2TL6M4vdjR8Zr9OGxeYMPrYY8DFos2B1THLRLUVgMEUCTnqtHmRkHE1nOVlRj1WWZ5Ae0OVvYH1OBHR/zWdfX2M4bG66Luxj7yU3yWVryNZMVpTGiYGth/a2DvocXmQg4B/E1tdNZ3cvNueIzyyh87ztrn04bWPTZrHYcMoaCh5/jOwI6Dm2hxMtzlBnTcbZ+i37jnVDeDaPrS/g5oLXPpd9TF5ZLFYGxruw8rmwW6w43KG9ugewWuy4/TJ+lx2LbYDgZv7gfgY8yHIwP22O0LxP/yB2qwW7W55R2Vbq57FuZRIKejm+6xCXeoJx8NmaObnnCJ2hxbL8LjtWiw2nb7JzB9nrxGax4QwWQHyDwbzzytIMy8TU6zeAv+MEx2r7R1wse+m9UkGDC8KySkif9LFMCV3B4zwWzHj2nGjBeXOA29nKt/uO0U042Y+tpyCU8bLPGSz3o+JhCdbDia6pJ6p3XvcPGONxTFQ3fEw/Rm57cFuvDATwD1robm+nu99J8CM/gzYLFkc4udOsd6PyLquIFAUEXB5i8vNHrMitwphXiAGQnT4MhbkYR/aTx01vLz3dZizTbMunWq+mRNKRv2E9wSz9jK+vDY/gy+4uLuzbyyV3MmVrsglmabCNMF/7mj9/bWXuo8tICQdQoi98lBXJEvSdZtfBGrr6bTileObnB5/OqDt8lMv9od8K/wBNJ/ZzuhcgEPxdsdqwW8f/LZD9LuwW21Bb53cPYLUM4JHlYPm0OYbas0F78PdqdNWIQL74OV9e6gm2nz4bTSc+40CDFzTzWF+WQhgybnuwXo0pM9OKUSiJ02gr/P0X+PSDPXx54L/5+LaTtgVBEAQhSPGrX/3q3o8FynYavjnI0YpabtiVaE0mtGofA+YebAEjuas2sWnZLKJGXVB5MFcfYc/Bs7Q6wtHHG4iQ7fSYB4nJXcWmJ5eTMeYichrbeDs48pt3OTH6VYsYV7/B64ut7H7rY2rcI7+RyNz6y9vMJ3TRsOstPqx2jf5YqQb/LZ1f42reeH0x1t1v8fHoAyBlbuV/7sifMJSezm/55P3DNHs0xCWEY+/sJaLoWV7cYOTcOzNMj8dM9ZE9HDzbiiNcT7whAtneg3kwhtxVm3hyeQaT9pNvF4NxBNdZHuc8H44f/xFLVwO73vqQsbuOpGjHL/hJZjienkoOf36Qc20uoo0JaLHT1esgMm0R6zY9SlHczWEOLx1HfsO7twYKBbOe/d95sXB0/no7jvCbd08w+q+NrH7jZXKq3+Xd47fsJ2kDv3ghgeP/9j4VA6O/StzwT7yyOBZpJmXbb+dq+S4+O9GMk+CiUQG/mtRlT7HCf4g/nrGG/jCakp/9I09lhE9w7q+z2Lqbtz6uYXSRyGTrL0NzB6dTJqZVv2XsDd9w8GgFtTfsKLUmTFo1vgEzPbYAxtxVbNq0jFlRU7zH5+mh8vDnHDzXhivaSIIW7F29OCLTWLRuE48WxQ29ysbVsIu3PqxmbDEqYscvfkLmBEs+367e/e2iTj76rx8gxrczhbox9RjJ9J/9Lf96oHOSgxJqxx5G3z/VencLuZ9zv3ub/W0xLH/l5zyaPOLxbG8nX/3HO3zTZ2TV66+zKmFEq3Cb9I7f1E6h7ZtCvUp8/J94ZUnslO46e8zVHNlzkLOtDsL18RgiZOw9ZgZjclm16UmWZ4RugLlb2PPr9/luqI1Qk/P8/8ZPs+x8885v+Mo8cq+h72bbOL/nUw5c6kVGIlKnRenxEJWzgiLbUQ43h1pVZRp5muvUWhnFuPoNXs6p5t13j99SXpPY8IsXSDj+b7w/ttHin15ZTKznGjvf+ojLngw2/20edZ8fpNaiQEJGBpRxRTyx5QlK48NA7ufsb/+VMcXoZpmxTDFGM2grZFsln/z6M655IfGRN3htRfwUck0QBEH4a3V/dJSH+Bjo6aCz147bryBMayIpOQ7NRE/WyW76O9rotrrwqzQYk5KJ006y8MxMtnmAyB4LHa0dWNwKokyppCVo7sgcPtndT0dbN1aXH5XGSFJyHNp7vgDWdMi4+27Q1m3DTTi6+FSSDeH3b77PoJz6nN20tZlxyBEYktNI0N3dcj29MjG9+u0b6KGjsxe7248iTIspKZm4CRuDic6zjxtt3djcEK6LJzXZwG2mSs7Yg17v7l6MHrB6N46x9Uqm9fO3+f0FB2lP/5KX5mumsTcZd38Hbd1WXH4VGmMSyXFa7kyWyrgtHbR1WnErIolNSr3rbQAAruGO8pZf/oyC8EHM7dfptsuE6xNJS9ITNq2TmF6Mpt5WyHj622ixRJA6K57IB6kQCoIgCD+4+6yjLAiCIAj3Az+2xiqaVHOYl64Z3dmULZx/7y32tcew7OWf81jKbUbG/1rc2lEWr5UQBEEQfgTE/VRBEARBGMNHX/URPt9XQfeox7ZlXG3nONUOiqRFFN9udSpBEARBEB5o99F7lAVBEATh/qGQFMjd5bz/ux4W5KeiD5NxdDdQdaGB/tj5bN6ylPi/5l9R2U7t/l2c6LBjdgFc5+iH/8nZ+MVs3lRErHh/sSAIgvAA+2v+iRcEQRCE2whn1uOv8eqcWuqab9DTdo0unwJ1tJGiJ1dQPC8D/X31Au57IQxDZj7z4mSYP/ypFB1HxKTvcBMEQRCE+5voKAuCIAjCeFQaknIXkZR7r0/kPiWFk1CwmIR7fR6CIAiCcBeIOcqCIAiCIAiCIAiCMILoKAuCIAiCIAiCIAjCCKKjLAiCIAiCIAiCIAgjiI6yIAiCIAiCIAiCIIwgOsqCIAiCIAiCIAiCMILoKAuCIAiCIAiCIAjCCKKjLAiCIAiCIAiCIAgjiI6yIAiCIAiCIAiCIIwgOsqCIAiCIAiCIAiCMILqXp/AA8vTQ3X5Ua4mPc7T82OGPpa9drqaG2i63kFPvx23rCJCZyI1O5+C2SbCx7k1Ma1tPO18/dkZlIseZVmmFuXdT+k0yTgby/niko4Vjy8iXj32+4G2Guo7Xcjjba6QUEdoMCSmkWyMvA/T9+BwNezm7Q+rcIb+bVz5Kq+tSWJMlgg/Ln47Td9dpEtXQOlcA2ET/rGLht1v82HVUClh5auvsSZpZqVElDlBEARBEH4slKtWrfrVvT6JB43saOTIhx9w1JLF6pW5GEM9WXfLAd79tz9zvKqePqWJpEQTunA//dfO8e2pU1S0Kkifm06MWjG0r2lvo4wg2nOFL/58hObwLHJTNfdZZzKAs+EIe8/6yV2SR+yYWzE++i+Vc/T8VRouX6T6Sj31zd30mTtob2+nrbWBmorznDvzLeeu2ohOzSBBo0Ix3qEmI7sxX6uhvr2fgNaAVj2jvfwAZNzma9TUt9Mf0GLQqqecXtlt5lpNPe39AbQGLSOTKOlmMb+0lBzlNSqvDxKRvpBF9+XNFeFOcjXt470/n+ZKbQ+JC4uID5uofEnoZs2ntDQH5bVKrg9GkL5wEZnamZUSUeYEQRAEQfixECPK0+Uzc/7Pf+Tb/hy2vP4oOdrh4V55sB+LLJG05mVeXJk0PJKz6iHOffwO+5vK+XP5bH6+IZ3wGW8TRlzpU/yN6wPePfgx+2JeYXOe9p4+Q+++Xs6n33gpXbeKPNMtRUp2cv38l3zVks7Gn5RiUKlJWPZTXlvmpvGzt/hD5SDRhZt5eVPGcEzcPVw6+Ed2X/iOz993oHhtK8X6GVxqBxxcO7Kbg106lryUSVLUxGNr904Ax7Uj7D7YhW7JS2QmRU0yCjhiS8c1juw+SJduCS9lJjEyiZIqCp0+DNd4jzEIP1rquHzmpXXQpi8kMRwmLl8Sqigd+jDXuE+7TJcoc4IgCIIg/FiIq5lp8WO59AWHm/ykrXmEXN3Y8CnUs1lemjS6o6MyUrA4AzVgu1pPr/f7bqMmfuF6lujtVO0/StPguA8x/0B8OG1u/J0n2flvv+FP3zQyIAME8HRXcuB3b/PegRoGAk4GPFM7Tyk8jvnrNlISDbjqKD/dgeduJkEQfkSUujyeeOlNXn2mFKO4FSoIgiAIgjAj4jJqOrw9XDjegFfKYMFc/ZjHCSNznud//A9QjjP4KYWFowS8sh858P22ASAskaIiIyePVfFN7Spml+qncddDxuu0Yem34ZTD0BpNGKJmWhRUxBas52e5K2irPsnxEzt5r9+N7O9k5wdNpMxfyfanF5JlCJveXZmIeLLiFFxwBLC2dOKUUwkbsQPZ68Rm6cfmlAnTGjEZou5yYfYz2N9Nj81PuD6OuJjwB/Yuk+yxYe624FHriY/TjYrrGP5B+s292NwKIvUmTLp7nG7Zi9Nmod/mRA7TYjQZmLDo+hyYu3txypHExhvRTpjYoYPgtpjpsblQROgwmfRTH22VPdjM3Vg8avTxceimdLz7kYzHZqbb4kGtjydON836e+veplrmppu/giAIgiAId4m4BJkGX18tl3qBuGxSosa50pOk28zF89Db1I4LiM6cgynse24DgAr97HSij/VyvbKZgeJixhngHk120nLqS8orLtPc5yNCq0Pts2MfDKDNWMK6J9dQOPZAU6OMJjmvmBKbBXP5ZXoJoEyYQ0FhPhnT7SQDECBw8+aAQhHaXsbZcoovyyu43NyHL0KLTu3Dbh8koM1gybonWVNoIgwZS8UHvLO/FZcMYOPMe//CudBJhKVt4NUXFhI73knJFio+eIf910Nj2BFzeGZ7IY379lLRMTyurclYxhOb15CnV4Gvh5Pv/xdHOoLD/krTMn7292tJCQPcLRz47Yec75dDu9vKm8/nEjV0uAo+eGc/rcETxXbmPf5l+ETZ8OoLLBzvRG+eZ2toUTTbGd77l3OhOIWRtuFVXlgYOzruAQ8dp/7EXw7X0ndzcF+bzSNbnmF5euTov/VZqPvmAIdO1tMXiEIbJTNgd6E25bL88Scoy5p83qmz9hN+vfMa7qFPFETnb+ONZ+cQCciWC3z07n56527jtc3ZRBKM1/53P6TCEjpBdQrrXv0ZiyLaOPVlORWXm+nzRaDVqfHZ7QwGtGQsWceTawpH1xHZSeupfXxeXkOv7+bhY8hZ8xRLPYf447c9+AGkWBbueIUN6eGAD2v9CQ4c+pa6Xj+R2mgCDjsupYnc5evYUDYH3c0W093E3nc+5oI1eJ6qhIf528fDOPmXw9QOB5fsR7bwzPJ0IieqAM5aPvn1Tq4NBwpFdD7b3niWOcFAceGjd9nfO5dtr20mOxgoWva/y4cVltCieGpS1r3Imu4/8fEFa/AzVQIrt5bS9OcvplW+Ap4OTv3pLxyu7WO4mDzClmeWkz5hQsYxxTInO1smz1+VhfMfvMOB6yOfL4lk7nNv8tzcSHA1sPs3n3BpINRwKOMoe/El1iTfr1MuBEEQBEG4n4nFvKZMxl53lK/q7YSlL+Hh+aapreTqtdFy/gC7vmrFm/QQW59aQHzYJEs1TXEbCTuXT1/F7pLIXFSAcbIT8vdTuXcvFwPFbHnlRZ5+pIxlZctZMEtJ88kTnKxxkFY0B8M0F73yDVyn8tgBdu38gouOFBYWeGk2J7M838u5fQc4UdeLHB1HojEa1dCu/fRfOU1ll4+wpGKWzNWPvmsz2Mq35VV0eSG2aBUPZWlR4qe/ci97LwYo3vIKLz79CGXLyli+YBbK5pOcOFmDI62IOYYw1DGpZOVmEtFyieuDURQ+tZ2NZQsoKSmhKC8Vg+Y2nXeFipjULPLyEui/XE+f20VfSwcRC57hp1s3sfahPOL9N6i+VEP1FQep8+dgCA9Hn5ZNXmY4zdWtOJRJlCyeQ4wSkCIxZcxlbpyFy/V9eLR5LC+OHyo7ClUMqVm5ZEa0cOn6IFGFT7F9YxkLSkooKcoj1aAZf/QtdJ65mRG0XLrOYFQhT23fSNmCEkpKishLNaAJkwAZR8t5zjU5kQK9NHTpWLTuMVYszCE+0EXj9XYamwPklGahu9nz9Vuo+uy/2Hm+i5ilz/Pyjk2sLitj2XwT1spvOHWmjsH0eWTHTrzomFKTROZsLV3VDVgDSazevpVV+YnERKpRIGO9fJBDl/txWWQyFuQHy68USVzGHNJopNZVwtbnHibbqEVprWTv3osEirfwyotP80jZMsqWL2CWspmTJ05S40ijaI4htJiZl65vP+J3RxpwaAt4/Kd/w9ZNa3koLwbz2S843W5jwOnHsOw5nn9sAdnxOiJUMpbqv/Dep2fp0C5m28svsHlNGWXLikh01fDNiVNU9xnJn5tAhARIUcTPnkt+hkTD5Xacsh9zQzf6JY+z7uGF5CZCZ0MrbY3NBHJKydJNcFtBqSEpczbarmoarAGSVm9n66p8EmMiUStAtl7m4KHL9LssyBkLyA8Gisi4DOakQWOti5Ktz/FwdhxxqZnMzSLMpzIAACAASURBVM9AarhMu1NN2uI1rCjKn7x8yQ5azp+jySkR6G2gS7eIdY+tYGFOPIGuRq63N9IcyKE0SzeFhbmmX+b8/VPI35x4jKlZzNZ0Ut1oQzY+xHPbHmVeUgxRagVIUSTMnkOy7yo1znk88/xa8uK1hCvv10X8BEEQBEG4nz2ozwXeA16sHTYAInRRk14sDtbt5F//3/+H/+v//l+8/0ULsWXb+IeX1pGluX3Ip7uNFK5FowLcvZgH/VNIg5IoQzLF69eSZ7g5yqJCO3s5G8qMYLvIsbqB8V/bdFs+LJcPc+B0DwmrXuAfX95ESVwYkqQhY+XzvPnms5SGN1C+/wQtU5xLLTtvcH7f51Q5gegC1i5OHJq/rYwykFy8nrV5w6+9UWlns3xDGUZsXDxWx4AMqug4UpLj0amDaYw2JZGamkpqaiop8ZoJHqVQER2XQmqSgUglgAN37lNsXDILfZiEKiqRwke3sCFDCZYKDpzsxIMabXwKyfG6sTdPpHBiE1NIut2rrlTRxKUkEx88UVTRJpJC55maEh/M3wnOc+iYqmhMSaHtUlOIH2dDZ3cUq7dt5KGCTDIyC1j2xEZKNUD/FeqGJsHLDNQdZP/lATCuYPPqHGJCuwozFLLuyRKi6ePc/jN0e8ccYnTSI02kzJ7PwnQJAj20eWJJMIRGEWU7jZVtwbLmaqDqxuBwvOKisLU5MBWXkJ0aioEyCkNyMevX5jFcdLXMXr6BYNE9Rl1wcjyy9RIHy9vwo+ehLU+xZFYMYZKKqMRC1j6zmhhb8MTVugSSUxLRh0vIA3Uc3H8JO0ZW/OQRcvWhRKtjyX3kJ6wwgv3Sfg7drB+hfE2O0wbj7+wmevVzPLEkl4y0DHKXPM6TweBypa6XCUMlRWJKmc38helIBOhp8xCbYAiNQsvYGytpCwaKhqobBCMlER4bR5StDYepmJLsVOI1asJjE0lJjkN7syAqp1u+nHRHrWbbxocoyMwgs2AZT2wsJVhM6sasrzCZqZU5ppi/Epr4FDIXlJETDpiv0R0eh/HmKLcUgcEA1xudJC1ZSm5awgP86LsgCIIgCPeaePR6ymQGbS4A1JHqSe8whKWUsemZYlyOPm5cvciZE//Nuy1L2fj0WvLHvjNpZtsowohUAz4XNqcfDJN031VGFm1/hUVjv0ATp0dJL+aWXrwluqEVqCenwrTweX5eqEYfrQJkrEPfSYSZCnlsxxweGoDo6PGj5qjcyW8aQumTPQzYB/EDmllLWLfxEQqGnilXYVy0nVfGJgCVJg69EnrNLfR6S9BNPQGTiKWwMH70QmvKGOYUp6BobqWvuprulcmkPgBPd4ZllJA5YpV2wo2kx0LFgAPzgA9QgzzAtTP1uAFjYR6mW3r+EUm5pKovUNdbTW3vChITJ2lCJA2ZxelIzc00V7YwmJ9PNCDbG6nsimFekYLqyj6uVd7AlZVFBOC31FNljmXe3NihBkplXMT28TOeuGDG09LrpUSnZqDhO5r9gL6AwvjRGSPpsihJlWhoGnnTRmbg6hnqXYChgLxbE602kldg4Ng3fdSdbWAgt2jsNIewDIozR64+H45plgFFxQAO8wCh6E4UKDSZxaRLzTQ3V9IymE9+MFA0VnYRM68IRXUlfdcqueHKIisYKOqrzMTOmzvOa9hmKoyMkkxGF5N0YqlgwGFmYPKEjN7bVMoc08nfcKToTJYWarhS0c35ig6WPp42VD+dzae55EpnXaFB/LgJgiAIgvC9iGuJKQvg8wRHbRXKyUcplJokZmuC/583fwFF6Z/w7v7TfPqRgr97ZR3p43Tkpr2NQiJ4Kn7cvltX+7oNTx/1Fae5UHedbosDj08mAAS8A/gBn8s7zRFlQBmJPnrkaalRq5XDj+VK4Wh1t988LG0hqxaYQoVRgSpcQ2xiMvHjLiDkoa++gtMX6rjebcHh8QUXOgt4GQgmAO8dXQRcQ5z21p6BRIQhHg2t2K1t9Lp5IDrKUUbtLRVeRXiECvDju/lAgrePFnMogI4mLp5vG70Tfz/B20UWrvd5YLKOMhKa2UWkSc20NFXS6sgnL1rG3niRTs08Hl2qpKOyHPO1Km64ssiM8GO5WoVZX8hcw+h9e/rqqTh9gbrr3VgcHnzBjMcbzHhcXhnw0tfWRwCQ9Enox+RLGDpjNDTZR3zmpbelBxmQdPHEjOkIqtHF65DoQ+5poc9bNPZGTJQR7S2hUIYW4/P7pvK0B0ia2RSlSTS3NFHZ6iA/LxrZ3sjFTg3zHl2KsqOScvM1qm64yMqMwG+5SpVZT+HcO9kpjMJ4a0JU4QSLiY+ppWTE3qZS5kKmlr8A4aQsKsVY8Q29lWdofjiNnChAtlF/+hrMeYacSRdsEARBEARBmJjoKE+ZAik0wTYwZgnqyagwzV/JvGONfNd7nhONK/hpXtQd2EYOrYYtoZrCPDx5sJXyP/ye4x0ymtmLWLpyFsYoNZICvDe+ZtexjmmmazwSutK/4/8onfoWasNs8udlTD6KLQ/SWv4Hfn+8A1kzm0VLVzLLGIU6mAC+3nWMO5GCUSQl490XUagjQpXHg9PrhynM3LzXFEppzJxihUIBBBgq0bKHwdATsbaGSiraxylXpiSSUBOrDAQ7l5McV9JmUpQq0dLaRGWrk7y5PhovdqLJX09CnMQ8Uznl5qtU3XCTOcvB1Uoz+nm5DPeTZQZby/nD74/TIWuYvWgpK2cZiVJLKPBy4+tdDBddGe9gcPUuZdj4T35I6ls/lXE7vUPbjFeTFOpgp1f2Ohn3LWcKJdLY4KKA4UXpJiNpySxKRWpppamyFWfeXHyNF+nU5LM+IQ5pnonycjNXq27gzpyF42olZv08cg13shlXoBybEBTTSsiILadS5qaVv0HquGIWJx/nixtXOH3VRnaRDrnvEqdbIyh8IYPJWldBEARBEITJiI7ylEmER4UBg/g9vumPuqoNpOjguwEv5g4rTNpRnsI2sg+PD0BN9KRz8Xz0XfyC4x0yJK7lhe1lxI3Ifad87r6fsO7ru8gXxzuQSWTtC9spG52AoVWt7yhZHvtqLiDgdRPsjqmJuHXxs3E6FAG/n+l3M+4BSR0cPfQoSXt0Bzvy70CXQ9KSVZyK1NpKY2UrAykuKjs15K83oVYpyC00Uf61mavVN3DGdFFp1jMvd8Qoqa+Pi18cJ1h0X2B7WdyIhsuJPCrjJdSRKsCN3+MdN+ay79baKxEWqQK8+L2+cbcJ+DzB0VRVBGP62XeMhDarmFSpldbGSloHUnBVBm8omNQqFLmFmMq/xny1mhvOGLrG3FB4QE0rf0OUevIfyuLIrms0nr5MX8EC3BfO0R1byk+S79i8C0EQBEEQ/ord732j+4gSXYIWAJfdNbajLNup3fsHdp7txjdmWyDgI/TkNgpJmvk2I/kGsXsAZQymWx+XHMNLX2sfANr0WUMLNA0f644+r3xXePta6QPQpjNrbAKmf/NiSm7OpRxJxm3pwQGgTcYUesmuQlIFK5TPhTdwy9/brCNek3QfUxtINyoAP7bQ3Npb+SyNVFfV0u6YasQltJlFpEjgabpIXe1FOqLzyDepARXGvAKMgKO+kvqaSsz6wtGjpN4+gkVXS/qsmDF390YXXTWxKbEAyLYurGMWn/Ix0Dd4a6IxpBlRALKtG/uYRPuwd9uQAYUxHcM05uhOl6TNpCgYKC7W1XKxI5q8/OAK+ypjHgXBQFFZX0OlWU9h7o9gLu608vcmCW32EnIjgY6zXGhr5txFO8lLijA98AERBEEQBOF+IDrKU6ZCm5JKNODq7Q+9n3ckH/b2RmqqWrGPM5HPb2viihkgirRZ+u+xzTCPrRM7gGE28ZPOkZUIjwpe4butt3aAfNi7rGPnH8qDdFSf4lRVO877oB8thUcFl/5xW7m17+qzd2G9NQFDc7gDQ6PCPksNR/ce4kLPVJfv7aXmSu/oeMkDNFa2IwMx+fNICLt5fjpiwoDBbroGRpyM30J9ZecEx1AghZ7vDgyfKDVH93LoQs+EKyYrJGWwEgfk0EioD0vNUfYeusCUkziSpCV7URZqwHypjr4x9wicNBzZya59F7BOY4hc0mVRnKIAdx2Hj7YSnV8wtFCYyphHoRFwVPHlsS5iCm8ZJZXCCRZdN9axGU/XqIyX0GSVMEsC+mqoNY8OgjzQTFXbrYmS0OUsIlMN9NZQd2uifX3U1/YCarIWZo9a6OqOk3RkFaegwE3d4aO0RudTMBwo8oKBourLY3TFFE7xseuZl68fxLTyd4TIWSwpigH6ObtnH9W+2SzNjbntJAh5sIPqU6eoanfepZtqgiAIgiD8mIiO8jSEJxSQFQn0NtJ9m+HBQNuXfH68EduI6z2f9Spf7/qCFj+EZ69hRVr4994GZJw3WrECxrw56Ce9Xg4ncX4+MYCn7jBHL/eHLpD9DDSdYP/p3uC5eJ3YLFYcXhlX4z4+2HWIQ7s/YE+9c7IDTJlv0IbFYsXpCV60yx4HNosFi83JmKdiR6YgcT75wQRw+Ohl+kNX+P6BJk7sP01vMAE4bRasDm/wdTGmSMBJr9WDjIyj6SwnK+qxylN9t2oE8sXP+fJSD24Z8NloOvEZBxq8oJnH+rKU4RWxw5MozAgDOjl24ARX2nswdzZyfv9uzmNACQR8TmwWC3bX6M5dhMFEJODsteKRQXY0cfZkBfVWecJ3FUsRBoJJ7MUa3JCmsyepqLciyy7sFisOd+i1Se4BrBY7bn9wrq3NYsPpCy6Y5Bu0YbE68MoSuvwNrM+JgO6v+ezra8MjrLKbrgv72HvJTXLZGrIneNXZ2BPVkVWUgoIALk8M+fkj3kOuMpJXaABknD4DhbnG0aOK4YnMD2Y8dYePcnk442k6sZ9g0Q3gdQbTIOvmsW5lEgp6Ob7rEJd63ASzrpmTe47QGTG2KyXpCnj8sWwi6OHYnhO03LwzJDtp/XYfx7ohPPsx1hfoQo2mD5fdgtUR3DeymwGrBXswuDhtFmzO4GPcAd/gUJ2aQqDQZRWRooCAy0NMfv6IlcdVGPMKMQCy04ehMBfjqEDJ+EIxCGa5jHvAisXmQhl7+/Ilu+xjt7G78SMHY2pzEiwmPgZv1q3b8c2gzKmnl7/DYQwjsXQh8YC3z0Z47lKybnsXw0Xjvg/YdegQuz/Ywx1szgRBEARB+JFS/OpXv3ogpk7eHzzcOPIOvz3hpPCn/8izOVGjvuuu/JqvTldR3zGArNJiNGkI8w1gNtvxKmPJWvIIj68qxBT2fbYJ8fdz7ve/Zn97Chve/BmLJ3s1VOh4Xef38OmBS/TKIEXq0Co9eKJyWFFk4+jh5tCosoo52/6ZZyOP8u/vn8eGhpIdb/JUZsT3DyEerh/4Ne+dtY/9KqKAv/nFFrInOIyn6zx7Pj3ApWAC0GmVeDxR5Kwownb0cPC1QIBqzjb+z+25eDq/5ZP3D9Ps0RCXEI69s5eIomd5cVMhMROFzHWNnW99xGVPBpv/No+6zw9Sa1EgISMDyrgintjyBKW3DOX7+qvY+9FnVPberFYShsIN/KSwiY//+3JoxWgwrnqdf1iVMCJhnXz7yfscbvagiUsg3N5Jb0QRz764icIJT9RD57ef8P7hZjyaOBLC7XT2RlD07ItsMJ7jnXdP0D/q742sfuN1Flt389bHNaMfB5cy2frLHeRHAR4z1Uf2cPBsK45wPfGGCGR7D+bBGHJXbeLJ5RlMp58MIPef43dv76ctZjmv/PxRkkc8wuzt/Ir/eOcb+oyreP31VSTceuPH08X5PZ9y4FIvMhKROi1Kj4eonBUU2Y5yeDjj2fbP28kNs3O1fBefnWjGSXBRqYBfTeqyp1jhP8Qfz1hJfPyfeGVJ7Ii7hR56Kg/z+cFztLmiMSZowd5FryOStEXr2PRoEXE3s9vbwZHfvMuJ0cHFuPoNXl9sZfdbH1MzOrhkbv3l1OZ8y/2c+93b7G+LYfkrP+fR0YHiq/94h2/6jKx6/XVWjQqUi4Zdb/FhtWv0/sLz2f7zlXTvHq98bcB47h3eHZsQ3nh9Mdbdb/Hx6IQgZW7lf+7IH/fUvR1H+M1MypxqmvkbeTNWFio+eJu9LTqWvfwGj6Xc7tEaNy37/p33z9tAU8KON5/ijjRngiAIgiD8aImO8jTJjqvs+Y+PqdKt5bW/KyN+nJFcv8tCT2cP/Q43shRGpM5EUoKByAlGfae3jcxg0wH+44PzRDz8Cn+/OpnpvJ1IdlvoaOvE6lYQGZtEaoLuNgsU+Ri40UJnIJ6MlFtf83IPyW4sHW10Wt0oImNJSk1AN8EKS7LHQkdrBxa3gihTKmkJmsnTMqKjvOWXP6MgfBBz+3W67TLh+kTSkvTcdv00/yC97W10OwJEmdJIjYuc2prYsgdLRysdFjeKKBOpaQlophR0GY+lg9YOC25FFKbUNBKmtuHke3b309HWjdXlR6UxkpQch/burWY12dngtnTQ1mnFrYgkNimVBN3E7zT3ObtpazPjkCMwJKeRoJNp/fxtfn/BQdrTv+Sl+ZpxDuOm70Yb3TY3hOuIT03GEP4jePhmxuXrhzL9/AU3zXt+zR9uPMTrf7981AKFY/gGuNHSSSA+g5RJ13QQBEEQBOGvnbhamCYpOov1z62i54Ov+PRwPC+syxkzZ1EZoScxQ0/iNPY7nW085ot8/ufz+HI38dyK6XWSAaRwPSlZelIm/UsVmuQssqe5/7tOCkefkoV+8gQE/zxMT0r2VNI7AWUkpvQcTFP8W2P6HIzTPYYUhj4le8rpGrEhYfoUsqe/4eR7Do8lJSv2+8XujpEI16eQNWk6/dgaq2hSzWFeejwZOfHDX8kWzN0OIIY0421qjhSOITULw5067fvFjMvXD2Wq+TuCs4VztW7SHyu85TH0cag0JGfdd62ZIAiCIAj3qR/BMMkPTSIibSU7/n4DyY172F1l+2EP77nB8U/Lcc5/jleeLZ384lAQ/ur46Ks+wuf7KugeNZ1WxtV2jlPtoEhaRHHCdG8xCfecq5EDH+2h1i4Dfvoun6BeMZdlc7Xix0wQBEEQhDtKdLNmRCI8cSFPv1aAzX0X3xUzHpWRxTv+gdWaMHFheDfIdmr37+JEhx2zC+A6Rz/8T87GL2bzpiJip/QMtXCvKSQFcnc57/+uhwX5qejDZBzdDVRdaKA/dj6btywdd9qEcJ+TnXQ2fMel3QraEwa5cq6DpLUbyYwSraEgCIIgCHeWmKMsCCPJbrpqK2myj16hWIpOZ15BMpHievzB4Bug41otdc036Om34/IpUEfHkpiRT/G8DPQ/8P0t4Q7xmqk6fpK6LhvuQCRxOYtZUZqG6CcLgiAIgnCniY6yIAiCIAiCIAiCIIwg7sMLgiAIgiAIgiAIwgiioywIgiAIgiAIgiAII4iOsiAIgiAIgiAIgiCMIDrKgiAIgiAIgiAIgjCC6CgLgiAIgiAIgiAIwgiioywIgiAIgiAIgiAII4iOsiAIgiAIgiAIgiCMIDrKgiAIgiAIgiAIgjCC6l6fwANB7ufsf/4rBzpC/1bOZus/v0B+1N0+rpPG8i+4pFvB44viUY/5foC2mno6XfK4myskNREaA4lpyRgjlXf5ZL8vFw273+bDKmfo30ZWvvoaa5LGpPrB8AOUmcErH/O//vsq3tC/kx7/J15eEvv97365Gtj99ocMZ8VKXn1tDQ9qVghT57c38d3FLnQFpcw1hE34t66G3bz9YRXDxeRVXluTNLaduiPuffvww6ZXEARBEIR7Tblq1apf3euTuO8pwjHNLWFhSTJ9lbX0ynrylxUTf7evkAJOGo7s5aw/lyV5sWPvavj6uVR+lPNXG7h8sZor9fU0d/dh7minvb2N1oYaKs6f48y357hqiyY1IwGNSjGjU5HdZq7V1NPeH0Br0KKe2W4mIKGbNZ/S0hyU1yq5PhhB+sJFZGrv9w7+bfwAZUYZk0XxglJme2q51OFBM2cppamRU+woy7jN16ipb6c/oMWgVTOUpZKOWfNLKc1Rcq3yOoMR6SxclMmDmhXCVLlo2vcefz59hdqeRBYWxRMmuzFfq6G+vZ+A1oB2RMWXdLOYX1pKjvIaldcHiUhfyKJMLd+nmNy+nbn37cPdSK8gCIIgCPcvMaI8JRLhWj3hajPqu/qwupvr5Z/yjbeUdavyMN2SO7LzOue//IqW9I38pNSASp3Asp++xjJ3I5+99QcqB6Mp3PwymzLCb26Bu+cSB/+4mwvffc77DgWvbS1GP4Mru4DjGkd2H6RLt4SXMpOImniwaQYkVFE69GEuwn8UEwLufpmR1NHE6NXYZxSwAI5rR9h9sAvdkpfITIpiKEslFVE6PWGucDE346+Kmrj8eaR1tKEvTCQcIODg2pHdHOzSseSlTJJGVHxJFYVOH4brDlbY27cz9759uBvpFQRBEATh/iU6yvcTnxOb20/n6Z38W81c1jy5kgiAgIfuygMc+uIsbXIc+aYBPLIB1aTXaxLhcfNZt7GJ+g8u4Kgr53RHPutT73gvVxCEB54SXd4TvJR3r89DEARBEATh3hMd5e/Fz2B/Nz02P+H6OOJivucInCqWgvU/I3dFG9Unj3Ni53v0u2X8nTv5oCmF+Su38/TCLAxh0ztKRHwWcYoLOAJWWjqdyKlhI85Txuu0Yem34ZTD0BpNGKLuRrHw4ew302tzQ5gWQ5ye6Ml7+oCMx2am2+JBrY8nThc2YYxltwVzjw2XIgKdyYT+Lo3++Af7MffacCsi0ZtM6GZ0HD+DoZgoIvWYTLrJR8t8DszdvTjlSGLjjWh/yHsesgebuRuLR40+Pg7dhOVwBmm7y2SvE5ulH5tTJkxrxGSImrAB9DnMdPc6kSNjiTdqmVK1k91YzD3YXAoidCZM+qm3CbLHhrnbgketJz5ON7Xj3Yd+2HRMr324M/X2ljOYanplL06bhX6bEzlMi9Fk4K40tYIgCIIg3BHiZ3qG/P3V7P1wLxUdnqHPNBnLeGLzGvL03y+syuhk8opLsFnMlF/uhYCShDkFFOZnTLuTDEAgQCD0vwpFaHvZScupLymvuExzn48IrQ61z459MIA2YwnrnlxDoSkMZAsVH7zD/lYXMoDtDO/9y7nQxWgYaRte5YWFEy0g5cNypZw9B07RaFMSrYtC4bYy4I7AlJlH6cq1LM2IHnf7gKeDU3/6C4dr+7i5XJk2+xG2PLOc9MjRW/is9Zw4cIhv63rxR2qJDjiwu5SYcpezbkMZc3QqQMZy/gPeOXAdz4htI+c+x5vPzSUSFw27f8MnlwZC8VISV/Yir69JHj6OpY5vDhziZH0fgSgtUfIAdpcaU+5yHn+ijKwpzZn0Yan7hgOHTlLfFyBKG4U8YMelNpG7/HGeKMsaOx9YdtJ6ah+fl9fQ6wt9poghZ81TLB5/Lbfbki0VfPDOflpDi8DZzrzHv5wLxTMsjQ2vvsDC2JHxDeDpOMWf/nKY2r6hnCD7kS08szyd0Vkxg7SN4aT2k1+z85p7+CNFNPnb3uDZOZGAjOXCR7y7v5e5215jc3YkAO6W/bz7YQWW0CmqU9bx6s8WEdF2ii/LK7jc3IcvQotO7cNuHySgzWDJuidZU2hi5P0G2dnKqX2fU17Ty3Coc1jz1FI8h/7Itz1+AKTYhex4ZQPp4YDPSv2JAxz6to5efyTa6AAOuwulKZfl6zZQNkc31Ni6m/byzscXsMoAKhIe/lseDzvJXw7XMhzebB7Z8gzL0yeec+6s/YRf77zGcKQUROdv441n5xAJyJYLfPTufnrnbuO1zdlEBgPF/nc/pGI4UKx7cRXdf/ojF4InhSphJVtLm/jzF60Ei4mNM+/9C8PFZAOvvrCQ0cXEQ8epP80oHTNpZ6bVPtyRenuLKaZXdrZw6styKi430+eLQKtT47PbGQxoyViyjifXFGJSWTj/wTscuD6qZWLuc2/y3NzI4AJ7v/mESwOhllwZR9mLL7EmWTwdJAiCIAh3i1jMazp8fdScrqLH66W/pYOIBc/w062bWPtQHvH+G1RfqqH6ioPU+XMwzGi1Kx8D1ys5dmAXO7+4iCNlIQXeZszJy8n3nmPfgRPU9cpExyVijFYNL77k7+fK6Uq6fGEkFS9h7i0d9cHWbymv6sJLLEWrHgpeFPr7qdy7l4uBYra88iJPP1LGsrLlLJilpPnkCU7WOEgrmoMhTE1Maha5mRG0XLrOYFQhT23fSNmCEkpKishLNaCZoPPu6z7Jh78/RmfyY/z9a9tYv2IZy5Y/RH5MDxWnq+jUzGPhyAVxZAct58/R5JQI9DbQpVvEusdWsDAnnkBXI9fbG2kO5FCapRvaxm+p5i/vfcrZDi2Lt73MC5vXUFa2jKJEFzXfnOBUdR/G/LkkRChR6VLImq2ls7oRm2zkoee28ei8JGKi1CiQiEqYzZxkH1drncx75nnW5sWjCVeGjlPFZ/+1k/NdMSx9/mV2bFpNWdky5pusVH5zijN1g6TPyyZ2ZN7fLDN+PQXLiolX+7FUfcZ/7TxPV8xSnn95B5tWl1G2bD4mayXfnDpD3WA687JjRyxk5KXr24/43ZEGHNoCHv/p37B101oeyovBfPYLznQ6cQ7KaOYsZcEUFvNSqGJIzcolM6KFS9cHiSp8iu0by1hQUkJJUR6pBg1hEsiOFs6fa8IpBeht6EK3aB2PrVhITnyArsbrtDc2E8gpJUs3lBMzSNt4lGiSMpmt7aK6wUogaTXbt64iPzGGSLUCZCuXDx7icr8Li5zBgnwjakCKjCNjTho01uIq2cpzD2dj1CqxVu5l78UAxVte4cWnH6FsWRnLF8xC2XySEydrcKQVMccQWszM28W3H/2OIw0OtAWP89O/2cqmtQ+RF2Pm7BenabcN4PQbWPbc8zy2IJt4XQQq2UL1X97j07MdaBdv4+UXNrOmrIxlRYm4ar7hxKlq+oz5zE2IQAKkqHhmxqPuBgAAIABJREFUz80nQ2rgcrsT2W+moVvPksfX8fDCXBLppKG1jcbmADmlWegm6MMpNUlkztbSVd2ANZDE6u1bWZWfSEykGgUy1ssHOXS5H5dFJmNBPsZgoIjLmEMajdS6Stj63MNkx8WTmjmX/AyJhsvtONVpLF6zgqL8TCJaLnF9MIrCp7azsWwBJSUlFOWlYtCEISHjaDnPuSYnUqCXhi4di9Y9xoqFOcQHumi83j6ldKBQTa2dmVH7MIN6e1vTT6+/v5K9ey8SKN7CKy8+zSNlyyhbvoBZymZOnjhJjSONopx4jKlZzNZ0Ut1oQzY+xHPbHmVeUgxRagVIUSTMnkOy7yo1znk88/xa8uK1hCvv+KqKgiAIgiCEPKAP991rDty5T7FxySz0YRKqqEQKH93ChgwlWCo4cLJz1IjllPksXD58gNM9Cax64R95eVMJcWESkiaDlc+/yZvPlhLeUM7+Ey0MTmkUUcZ54zz7Pg++0iS6YC2LE2+OQCiJMiRTvH4teUOvgVGhnb2cDWVGsF3kWN0AMiqi41JIjtcFX4OiisaUlEpqaiqpqSnEayYaPfdjvVZNRwASiueRHBEqblI48cVrWZE00ZWzk+6o1Wzb+BAFmRlkFizjiY2laID+K3X03nwnkjxA3cH9XLKDccVPeCRXHxq5UxOb+wg/WWEE+yX2H6pjQAaVJp6UzFLK5oYDZq51hxNnvNm5lIgwGOB6I87EJSzNTSNBFzbqOJcHwLhiM6tzYkLHCcNQuI4nS6Kh7xz7z3QPva5p3BwZqOPg/ssMYGTF5tXkxITiF2agcN2TBHeznzPdw3uRrZc4WN6GHz0PbXmKJbNiCJNURCUWsvaZ1cTYJjriOFTRxKUkE69Th/5pIik1lKcp8YzJUmc3Uau3sfGhAjIzMilY9gQbSzVAP1fqehnOiumnbXwSkaYUZs9fSLoEgZ42PLEJGEKjhLK9kcq2YAVwNVRxYzC0VXgscVE22hwmikuySY3XoAKUUQaSi9ezNs8wNHKs0v7/7L15dFTXuej5q1NVUmmoklSaZ5AEaAIhECBAYMAYA46nOHaccGPHN/EUuzteL7lvrderu1e613vdt3vlveQl/XJ9cxPHduLcJA52jAEbgy9gMIhBFkJCEkIzEppKpRqkkmo61X+cEipJJVESEmDf/ftLwzl77/Pt7/v2/s7e+ztL2by3gnhsXDqp6AbIWOs+5niXF2I38uSjG8iOCUPSRJJSvJMntsegiFqLITmN9JRYwiWZ4asfc0hRQB6/P5/x91TauHzuf3wL8dipO3SEq0olSOFxpKSnkajX+sUbxfZvPsSG/CVkLslnw56voYi3kauDs8tKikggfekqyhRB0eWKI9no12fZTmtNl7LaOtbC5QlBEZcYia1rhITVpeRlJBGtDScuJZ20RP3Nzx2poxJJT0tCURMNUQmpfrvPIN0v28lqEsn2px9mY1EOS3KK2PTQwyE/B3P2M3PzD7drt8EI+XnVkRjTVrN7ZwETrlbP0s17UVztSa4OS0QnpZOztoLl4YCpmf7wROLHV8YlHYprcpC6oZz8zORbHH0QCAQCgUBwu4iRdl7EUVycNGm7JuoYlq1ORwWYa2vpn0+krEmg7Fuv8B9+8BSbl0757IgURkLxLp754X/ghb15RAXtuRFq3v0VP/vZz/jZz37Gf/1//gv/768PcsUeTfaGJ3ju0SIM4/dp4lm37wUeWxE5RQk0RCfGokbG1DE458njVFSSsuLRc/4CbcPegOeJo+y5f+ClbckzfIc0jCWlOegDGhcen0UcwIiJYf+eWHn4GueaxgAjRQUJU8rSEl9QhBEYu3qeFn+gghRFzoZiooH+i1X0BPaVo53KujGyy4sxBszN5eFmzjU5gXiKp9WjIzU/Ay0wWNswsTV6GjLDzedQiimmIGHKk+tSyc/QAoPUNoxv+5UZbvmCdi8QW0Rx0uStlpIhl9KMRTbjsCWU5ugD9CSc+Kw4AEZMwxPtnPOzzY4UncPqLAnc7dR0+IM8ZOytNfTFrKTECIw2U3NjzP8/L5amy5jiVrIibrzzNMSv28cLj60gcoqYNNGJxKpBNnUogZU8TMsX7SiiLmayqCUMuaVME7U8zLVzTYwBxqICpj62Nr6AIkUBOd8yTLD3W2FLVpMzSdETyDaqgBFMwyFISoomZ3UWEm7aazq4KSl7KzV9MaxUBEVzzQ1uSsrSxGVTHCtXBPns3DwJW1I65TniUdQkxOeYW20h+oeFsNsZWhDi82ri17HvhcdYMV0BSVQUkA5/YC1F5VBeHA30c7Gqh8muqZK6sSw2FBvFmSmBQCAQCO4AYrydF9E3V4MmkNAZk4imE7u1i0EnzCe5tDoilqibv6mQtFq0AdvrpHA9hhnvDiOzbBtrx78rpdIQHh1HSlpS8NUHl5mmqkqqr16n3zKCyyPjA3zuYbyAZ8wddGI/h6chJn8j+Sfep7H7JG/9tIr0giIKCwooWJGFMVw3yzdII4nXT1FPTTg6DeD1MB5yuwc7GJAByUBSzPSQW2tIwiCBWR6gw+ymxKB8Ois8fR1r46s4OVjDufb7yFweCcjYmippVi3nG8sMk14guM0dmPzCGGm7xMWuyfV4h/whiOU6ZhekBLUsN+YOk1+mI7RdusjkYrxMFGPGRQoa3Ji7zPgAKTaV2Gk6FYYhPgra7MEqXBgi45neFTqUrrjZE/N4tlsgRbO0JBOpvYO2mk5GCguIku20XuoleuUDlKt7qDluovnyDcZyc9B5LVy7bCK2eMWklxzgwtxURWX1Va73WxhxeZAVRWdYUXTcMuA202X2ARKxqbFMF7WBaaJ2D9KhKCCGpJjpL320BpIUBWSgw4y7xED4lEsi4/VTZKEmLFwNePF4CQGJ6KUlZErtdLTV0DlSSEGUjL31Er3RK3mgXE1PzXFMzZe5MZZLjs6L5dplTLHFrDAu3BAw/Tk0hCsGG+JzzKm20PzDgtjtDC2Yw/O6zE1UVVZz9Xo/lhEXHkUBcSsKyJh73NOGk75uDfFVnzFYc472+zJRXJONpspmWPYEyw3i/bZAIBAIBHcCESjPB0mNOshcRaXV+QXqwuH2wixhYGj1GFjz9/+JNSHfoMW4tJCVS6ZOxacjj3Zy/O03OdUjE710HeVbs4mP1CKpwH3jBPtP9txGwydQx5bwxIsRVB4/xYW663Q3nKO74RxH0ZNVtp29O1eTogs28VOhlqaev1OhUgE+382/yE6HsuqtDgt+7lWlJVyNknHWFRD2axMpWZ/OZx9101h5DVteCQbZTF1lJ7qV32VJ5ORiZNeof3XdRktNFd1B6kpITQVtHGqfEjhNR8Y16l+jt7VQU9XN9GISUIpRoxQj4x5VVqfUYdqgpUqL+3FvUKmZ3hUqJnfFfJ7tVhVL6HNKyJA66GyrodNRwApPK5d6oyncnUyitJKE48cxXbvMDWcO2SPXqDHFsjI/YMVNHqXz+Nu8eaoHOXop68q3kh0fiVZRdE7sP8lNTZfdKKJWExZUptL0b2LLThzu8XuCKiBaRQFxO1xBXzyp1NI0WakURccX5PpgSPocSjIkOjrbqOl0ULDCo7xQKNxNcqLEyoTjHDdd4/INJznZI1yrMRG7Mp8FjJMX5DnmUFto/mFB7HaGFoT0vDKjncd5+81T9MjRLF1XztbseCK1Eirc3Dixn6muVpu4mvVpp/joRiOV12zklRiQzXVUduoofnYJU1yTQCAQCASCRUIEyvNBlpUVqSn43E7/llItunkl87pTeDBf+ohTPTKk7OTZfRUkBmiCQ76woHvytXHL2fL15Wx5xE53Uy011VV8cW2QzosHeMMq8YOnVxM7z3cKUlgEGsDtdeMJNhv3eXB5ATToJkU5amILy8k7tp9rrZVcMRex1lnNhQEjZV9PnbaaKPlfgrjUmTzwzDMUzmu2KqHVaQAX6swHeOaZwhAmvRLaCA3gxOtyBw04ZM/trfsvDPN5thBK1eeyOkOis7OVms5h0sdq6I0uZHeCFo0qn+KE45wwXaP2hoOYvhpMsSvJD4j+POZLfHSqB5kUdj67j4rJin4zi7NSmRZF1F5c7qCSZpqopTDlHrcXd3AFxKMoIBpd8BcdC4KkJ3d1BlJnJ601nQynj1HTG03h7gS0GhX5xQkcP2HiWu0NHDF9018ofEVZGLu9DTxmLn10CsXVPsu+isQAmTuQLwTRCHUshRtzOba/mdbKK5iL1uKsvkB/3BoeT7v1S1CBQCAQCAQLg9jDNS+CnbmTcVoGGAHQp5Fwtz8aOytuzJ1mAPRZ2cRMnS37FirwknHbB+gz+z/5otGTXriJvfte4bV9ZcQAruZqOkdvUcwsaI2ZxKsA2Ua/ffohQ4+9H5sMqOLJMk7eGCvp8ygvjAR6OF/dRfuFGobTN7Ayfnr4oDVmKfV4bTOct/Rgaa3lckM3IzOKT4sxKx6lmIlzlJOLsdBae5mG7hH/6qOWuHTlPLBs68M67dC4h2HzbQhwwZjPs4WApCenJB0JF22XrtJwqYeogkLlLLAmnoKieGCEppom6mtMxBZPXiV1mzsxA+izyJ6u6JPboY1DEbWMrc86/Xy+Z5hpotYayVQUEFu/ffrZa4+dfkUBic8yznAefyFQVt/TJXC1XeJqwyV6ogooVARFfEER8cBIUw1N9TWYYosnvVD4qrIwdnsbuM0orlZPVnbMtBcTwV2thD5vA/kRQM95qrvauXDJTtqGEhK++l0mEAgEAsE9w70czd3DDFLfOCUhkTxMa003MhBTuJLkKUuS8mgPtWfPcrnbcZvnfhcCifBIZcrutA5Pmdx7sPdZmXqkUCWpFWXxyf5VTQ+W+k/58Eg1AzNm/PIwUPkOv363VglWA+qPziwgS8fNLbzzfhLDctblKEmi6q+apz2LuamBQUCbW0aefqq6R5C5fjWxwND5Axys9ZBbnk9MkNVtSZ/HulwtYKJuWj0gO1o49u5+DlZbZ9lmKqHPW4dSTB1XzdNftjhajvHu/oNUW30374nOLSVbAsz1NJgmC1sebudy13wSJamQ/OcHfOPbIzwW6j/9kCPVA/NI4jafZwutXEPuatJV4Lx6lE87oygsGk/KpCG+oFgJAC9/wsm+GIqnrJJK4ZHKtU7rtODdY+/DGqjoUjS5pdkoom5gsqhlhtsvM03UkoHl63KUhFD1V5n62B5zEw2KAlKWp19UhysZclmtCIqjn3YSVVh0M7mYJr6AYkVQfHKyj5jiELddqyT/MRMfE2pSz6cfHqF6ZsOfN/PzMzOzMHZ7G0jhKK7WiXW6AtJnneHwdkQ2G0pigCHOHzhIrWcp5fkxMx7mubfGF4FAIBAIvhqIQDkkZJx2CxabQ0n6gw750gd8UjeAUwY8NtpOv8/hFjdEr2R3RfqUrbtjtB58i/1HjvDeWwdocixUuzyM2ixYrA5cPqWdrhEbFosFm8Mzy4QpnJRVhcqK7tWjfHplyB8YeRluO82hykEAfG4HNouVEbeMpDOSEAE4BrG6ZJBHaDt/hqomK/ItIl1vz2lONgwFTFLdDDZW0TIGYbmlZPm3Q3rG7FisI4pMkXEOW7HYnXiRcTtsWGwOZXu1T3lu64gbJANFe3aRp4OBkwc43TE+UZRxdH7OwZP9EJ7Hrt0BGb8DCEsuZV0K4DZjiyhkQ250cKOQDBTu3c1yHfSfeJ8TzROrh7Kzj+qDH1LnTKNiRx7Rkr/9gTrj8zJqs2BT5fHg7uXo6OfE+ydovrkKLuPsq+bgh3U40yrYkTfRDnXsSh7cmoqKQU7tP0LdgBNF7do5c+AYvTr/d57H7FgtNhwhxc0SOmMCSpdaUbq0jfNnqmiyunHaLVhHlHqQnQxbLdidXuWst03RL6UrRid0xFDI3jk+W0gtNeRSkq4C3xiumEL/KqmCJr6AYiMgO/AYi8mfshsgPGUVhYqic/TTKwz5gy3vcBunD1UyCOBTnsk6IhO78kG2pqpg8BT7j9QxoBg4tvYzHDjWi25apCJhKNrDLkUBOXC6A4ff8GRHJ58fPEk/4eTt2k3RuAJ6xrBbrIw4/ZrqHMZqsaOI14HNYsOhKDqeURsW6wjuUKIfyUBuSToqfIy5YigsDMjyrImnQBEUDo+R4vz4yaubsscvg8l9bhtTE6cYPoNWFzIyI23nOVPVhNXtXPDnmM3PuJ3z8w9zs9tZmE+/aVNYpSggV49+ypUJBaTt9CEUV+tT2j9JPmGkrCkjCXCbbYTnl5M77UXfOIs1vggEAoFA8O8b1U9+8pNFeZH+lUIe4vyv/zuHe/2/S0t47DsFXP3gYxosKiRkZECdWMJDTz7EmqSpJ1yddBz8H/zuog2iS3nm1UfJ0S1Au1zXOfzL33I+SMJjXdHf8dqTecxcjYu+iwf4y+E6BmWQIgzo1S5ckcvZUmLj06Pt/lVlDcue/hH78tX0fv5Hfne0HVd0IsnhdnoHdZR84zkeKZ5ppUPG3vIZH39aRcMNO2p9Agl6LZ5hEwM2H/H523jkkU1kR0qAm55jv+KfTw9NLiJ+Oz94eT3W937OO/XOSf+Scp7if3+mUHmagRqOfvAxF7rGiIpPRo+dvsERIjLX8eAjD1CSOFMKchlr9dv84oN2Yra8yMv3p866PdZlquXYgY853zlCeGwSRp2MfcDEaEw+2x75GpuX+IPAqToz6Xk2IjUc48DH5+kcCSc2yYhOtjNgGiUmfxuPfG0zS6bO2r12rh3fz/un23GgJBLyebVkbHqULd4j/Os5q//CKEq/+z/zaAgJ3XD18vkff8fRdhfRicmE23sZ1JXwje+so/cPv2F6V/yAl9dbee/n7zC5KyRynvoxzxRGAi5MtXN8tlsiM3ThDX5xqIuYzS/wygNpAX3kpvff/onXPzMTv+1lXt6WPG17q6vvIgf+cpg6RdEx6NW4XJEs31KC7dOjyqe3AM2yp/lf9+XjtV/j+P73Od3uQEka5cOrzWDTo1vwHvlXzllT2PPDF9gQF/AcrgFqjn7Axxe6GIuKJ1kP9r5BRiIyWffgIzxQknjz5Zm75xi/+ufTTBZvPNt/8DLrre/x83fqmSzeHJ76cWjna+WhC7zxi0N0xWzmhVceIC1Amd29/8Y/vf4Z5vhtvPzyNpIDBTXWwv6f/57ascnlhRfu45Wt/bz3u6O0u6JJTA7H3juIruQbfGddL3/4zUI/h2sGP/Md1vX+gd/M1z+EarezMO9+0/Rx8cBfOFw3iIxEhEGP2uUicvkWSmyfcnRCAXn6R/uULdcAsoWqt37Bhx0GNj3/A3alz+TDFml8EQgEAoHg3zkiUL4dvKOYuq/Tb5cJj00hMzWWYF9hAsAzzI2OXnxJS0if+lmTu4jstNDT1YvVqSIiLpWMZMP0zL4TV+Oy9NDZY8GpiiQhI5Pk6NCexTM8QE/vIHanF1WYnoTUNBJDvDd0ZJzmG3T123ASjiEpgzRj+CJsm5BxDvXQ1W9lzKshOj6VtET9LHKbqRgnQz1d9FvH8GqiiU9NI1E/e8Inj6Ofri4TI7IOY1omyYbbTBAlu7D0dNJjcaKKTCAjM5kF6ZZ5PNuiIjux9HTRa3WiiogjNSMZw6wd5sHR30WXaQRZZyQtMxmD3MkHv3iT6pFMvv7j77EqOlg1Zm509WNzQrghiYw0I/d0uoIQkV0Wejp7sDhVRCZkkJkcvYiJwObvZ25V7oLY7XzrtvTQ1WvFqYogLjUjBNt10n7gl7x9YyMvf3/zpISL07hHxxeBQCAQCL7MiEBZIBAIxvHaaL3chmbZSrKmrHzLlov89ucH6Y7ZxPOv7GLGBT6BYCFwNPHuL99lZNerPFMaI85JCQQCgUBwhxFjr0AgEIzjMVN77AMOVvVPTmgmj9F14SzdqEhdt3pasj6B4LYZa+XwHw7QYJcBL+Yrp2lSrWDTisVNAicQCAQCgSA4Yo+WQCAQ3ESFpJLpP/473hhYS2FGLGHyCP0tl6luGSJu1WM8WZ4kHKdg4ZEd9LZ8Qd17KrqTR2m80EPqzofJiRRhskAgEAgEdwP1tm3bfnK3GyEQCAT3BJpYcletIC0uAhxm+nv7GLCMojbmsf6Bx/jaxiW3zo4sEMwLCTUevGM2rKNhZJbv5aF1qYTfzvfzBAKBQCAQzBtxRlkgEAgEAoFAIBAIBIIAxNqIQCAQCAQCgUAgEAgEAYhAWSAQCAQCgUAgEAgEggBEoCwQCAQCgUAgEAgEAkEAIlAWCAQCgUAgEAgEAoEgABEoCwQCgUAgEAgEAoFAEIAIlAUCgUAgEAgEAoFAIAhABMoCgUAgEAgEAoFAIBAEIAJlgUAgEAgEAoFAIBAIAhCBskAgEAgEAoFAIBAIBAGIQFkgEAgEAoFAIBAIBIIARKAsEAgEAoFAIBAIBAJBACJQFggEAoFAIBAIBAKBIAARKAsEAoFAIBAIBAKBQBCACJQFAoFAIBAIBAKBQCAIQATKAoFAIBAIBAKBQCAQBCACZYFAIBAIBAKBQCAQCAIQgbJAIBAIBAKBQCAQCAQBiEBZIBAIBAKBQCAQCASCAESgLBAIBAKBQCAQCAQCQQAiUBYIBAKBQCAQCAQCgSAAESgLBAKBQCAQCAQCgUAQgAiUBQKBQCAQCAQCgUAgCEAEygKBQCAQCAQCgUAgEAQgAmWBQCAQCAQCgUAgEAgCEIGyQCAQCAQCgUAgEAgEAYhAWSAQCAQCgUAgEAgEggBEoCwQCAQCgUAgEAgEAkEAIlAWCAQCgUAgEAgEAoEgABEoCwQCgUAgEAgEAoFAEIAIlAUCgUAgEAgEAoFAIAhABMoCgUAgEAgEAoFAIBAEIAJlgUAgEAgEAoFAIBAIAhCBskAgEAgEAoFAIBAIBAFo7nYD8NrpqG9iwOmb9Ge1fglFKxIIm7gQe/sVmgZVJK4oJCtaPXGxPExXfRO9Y7L/DyrCEpZRuMRwhx5wjJb3fsHvLzv8v8ez9cWX2JGqvSO1CxTGWt7jF7+/zM1e2PoiL+1I5cvQC/dK2732Nr641IehaA0rjGG3vkEgWDRGaXznv/Gna27/76ns+eHzbIgT73cXBy/2ti+41GegaM0KhPkLFoc7NF+Shzj/L/+dwz3+39VLeepHz1IYGfzy0cZ3+G9/usZNb7Pnhzy/IW5uq0muQepOfsxnl1rpH/Gi0kQQm7yEkgceZuuSyHtoZeremrPKozeo+6IVcssoTtHdQ3L6EuG10/bFJfoMRaxZYeQr677vgo2pt23b9pNFKDd0PCYuffpvVNVfoqauiaamDvrNJgZcKRQuTyBMNX7dIBf+9DYfVzfQa1hNaUbEhEA8Q9Qd/5SLVxu4VNPAjUELNm02xUtjUM9Q7XyQnSaa65voHvKhN+rRjrcNCUP2KtasWY66uYbrozqyytaRo1/I2gUwWx+AZMhm1Zo1LFc3U3N9FF1WGety9AuqAyDjNDVT39TNkE+PUa9Fdeub7pG234ox2g7+lr9WNtIwkEJZSdKXwtnOJtcvH/PXr68eamJyV7N2zVJcDXX0uKJZVr6GjAgxjZoXshNTcz1N3UP49Eb0Uw1lrI2Dv/0rlY0NDKSUUZL0ZbB+wUKz+P70Ds2XVOEkrCilrDQNc00Dg3IshZtWkzRDLKiOyWX12jUsdTVQ1+Mielk5awLnmbdklNbDv+Ffzw2SuPXbPPvkbjbmaWg7e4He5LI5lrUwfDnmrKM0/+3X/KWyiaahNNaXJN7mAoGHoZYrNF0fxB1tJCbs38d4MdZ2kN/+tZLGhgFSykq4I+77VmPKgnN3bOzua1BYOtu+8zIvPrUeA4CUyrZnXuaFx/KJDmidPNxBw4Dyc19DByNyQBnaZDZ9+yWeeyATnWEtT73wMs/uyFzwSb5vpJlj7/2N9w5fYtAT+B8JTaSB2Jgowu++RL/SzNwHIGkiMcTGELWoneBjpPkY7/3tPQ5fGsRz6xsm7rzrbb8VWhILV5KZkEphcQrhd7Elc2E2uX75mL9+ffWQ0EbFEGsQfnVB8I3QfOw9/vbeYS4FMxRtIoUrM0lILaQ45cti/YKFZvH96Z2aL0mE62OJNUSiDaEeSRtFTKxh/mOwo52zl22gW86WdTnERUYQk72OnfetZUVi2F154fnlmLOqiU7JIDFpGVu2LEF3u8W5B/ji4H7ef//faHP4bn39VwRtYiErMxNILSzmjrnvW40pC81dsrG7v/XaT1jSCpZGnqPG0U199xirDYH7Y2Qc1+vp90mAjHyjnq7RUgqjAksYo6e+G3XWehLFGC8QzAM1hoKH+F7B3W6HQCC446gNFDz0PYT5CwRzx+MwY3UD0bFE3FyYDSej4mtk3MV23fuEkbrl73hly8KUJo8N0GkFdCmkGe6ZEGfRURsKeOgrPnm7WzZ272hReAoFWWHUNLq43tDDWEFuwJslJ931PWjzt7Cs8yT1juvU94xSmBcxcb+rn8YOL2m7U4kIUjx4GR0yMWhzooqIJSHBcAfepMm4bCb6LS60sUkkGsIWYQnfg8P/XITpMSbGEqWZRy0eB0OmQZRijCTGRjF7MfOR593oA5BdNkz9FlzaWJISDcy4E0d247BZGLI5kMP0xCcYibzLFhJy2wHv6BCmQRtOVQSxCQkYFkm4c2lTYNv6B2x4w2NJTIy5B95iBzBn3b8NZBc2Uz8Wl5bYpEQMt7EtTHY7sFmGsDlkwvTxJBgjF92hz7fOueiMZ8RE/6ADOSKOpHj97e8MuiO+zY/sxDYwgMWjIyE5YZL/8I5aGDDZ8UUlkGSMmPFYxZ2Q8byQnVhNJqxOiciYWGKjI2aQ4wKNSfP2xx6GTX0MjvgINxhJiAsmPw8jpn4GHTIRcUnE6xdjbA7CAuiHcu18ff3CzUk8Dn8bCENvTCQ2SnObMpxb22SnBdOAjTGVDkNCArHzGVQ8I5j6B3HIEcQlxaO/HWcje1E2OqpmXtmSnVhMA9jGVOgMCSQeaJo7AAAgAElEQVTEhocuM88wpr5BRnzhGIwJxC3K5GRufXCn5hyB7XPbzfQPjaLWJ5IUN/08s9vciVkG4rKIv0V/yi47g6YhHN4w9AkJGCPu0IRvUX1bsOru0TFFqQWnxcSAbQyVzkBCQuzM420oNrYI3DuBMjrSC9NRN7Yx2tZIvyuXrHEld/bSeN1Hxt5VrOIs9Y1jdDT248zLvrk91G1upnUsmYqMqWGyB8vVzzh85AxNZh+R+kjkYTtj2gTyN+/hoYpcbnksQ7ZQ9dbrHOocUzrJdo7f/uMFv4GGkbn3RZ4tm5z0wefq4eyf/8bRBjPju8T1effz5BObyYqQwDPAmd/9hmM9SuoIdcImvvv9naSHAc4ODv/691wcUu7ULXuKV7+Vz+QcFB4sjcc5cPgsrTY1UYZIVE4rw04dCTkFrNm6k/IlUbd2wh4LjccPcPhsKzZ1FIZIFU7rME5dAjkFa9i6s5wlUYGlzEeed6cP8LnoOftn/na0QXGcSidw/5NPsDlr4iyD7Ojg7CfHqbrSjtmjQ2/Q4rHbGfXpWbLhQb62o5iEMJAtVbz1+iE6/UnjbOd+yz9e8JcSlsneF5+lLFiioUVsO4DHcpXPDh/hTJMZX6SeSHkY+5iWhPzN7HmogtxQzh052/jw9XeotiqVaZLv4zv323jvT9Uof9KQfN932BN2ZpY2yViq3uL1Q9dxAaBj2RP7KG49yIdVPf6/AdFL2PTQY+woiEWDh4Ezv+M3x3qUJCrqBDZ99/vsVAyBjsO/5vcXhxS56Zbx1KvfIn/cEOYj10BC0f0IGxffep3D110BN0aw4puv8s0VETDWwnu/+iN1w/4tXupEKp77Hjviu6fLc08YZ/52lIYJ4ZF3/5M8sTmLCClU/QJHx1k+OV7FlXYzHp0eg9aD3T6KT7+EDQ9+jR3FCYR5zZx785850u2eaLYmma1///dsjajj7X/6kM7xR9IksuW577N9xkQucmh1As62D3n9nbnoTEAtjk7OHvyA4/UTW85VMcvZ8eh6Ak/ahMxi+rZg9vJQBGf3f0y932+jS6f88W/yQJ6K1hPv8cGpNob9t0dkb+HJJ7eTc/N80WLKeNwuO1FUy8a53/4jE6q1l+fu6+FPfwws83t8775kZYLgsdJ0+iM++bwRkzcCfbQap20Yl2Qgo2AVZRWbWZUagbRAY1Ko/jh4H+iofP8Trgx6b5aXuveHPL9+3A/IODrPcvCD49Tf3CqoImb5Dh4td3HkXz9nwAsgEbfmEdb2HJrfGL3g+uHX0JB9vZO2D1/nnWqrYjuaZO77zh7CzswyJwnRn8qWRo4fOMzZVhvqKAORKifWYSe6hBwK1mxlZ/kSouY4ob7lfClQBtYmTh8+wudXB/FG6InyjWAfU5OQv5kH91awLJRVRNlB59mDfHC8fmJLsiqG5TseZf1cnc14X1s8StuHTvHr//tzVIA6vpxnn99FhmSl6fRhjnx+lUFvBPooHyP2MdQJ+Wx+cC8VyyYSzwaz74d0lbz/yRUm1DqVvT98nvUzJTZcjDlrAAsy55AtfPH26xwcH4gilvGNH3zLv1PUQeOff8VfrvqTjYVlsufZ7ThPHuB4o5lxMehX7OE7T2wgKQxkyxe8/fpBOsdkpf09h/nlf/745v2B8zOXqZ7Tx45zrnEAb6SeCNmOfUyDMf8+Hnl485RxYWqzL/LW64eZPCVYwTdf/SbKlOA9fvXHOiamBBU8970dpIUtlm+LpGOqrX/ve9yXLN3VMeXFZ8uYPe+mB2vTaQ4f+Zyrg14i9FH4RuyMqRPI3/wgeyuWYZgwilvb2CKeyb77ybxuokIb5ubauWvYXWPoi9aw1J/Z2tV7nqNf+Fi3cwPZ2nbON1gYG42maG2Of+LiZejyJ5y1r2RneSYTNu3Fcvl9fvPuRfpiyvnW88/wyPYKKjatIsFaw2dnz3F1NIuVeXGzJ6xQaYjJyCU/R0dH3XVGI4t5dN/DVKwtpbS0hIIMI9FhEsgjdFy8QJtDwjfYQp9hHQ/u2kLZ8iR8fa1c726l3becNbkG1FIYsZl5FOSE017byYg6ldL1y4hRA1IECUtWsCLRwpUmMy59AZtXJ01KcODpP8Pv3zxJb9ouvv/S0+zesolNmzdSGDNAVeVleqNXUnbLZFAe+s/8njdP9pK26/u89PRutmzaxOaNhcQMVFF5uZfolWUBCR7mI8873AfIjHRc5EKbA8k3SEufgXUP7mJL2XKSfH20Xu+mtd3H8jW5GPyP5R2q4cMPL+Fb/SQvPPd17q/YRMXmtWSr2zlz+gz1I5mULDMSpo0hIzefHF0HdddHiSx+lH0PV7C2tJTSkgIyjNHB37gtZtstl3n/N+9ysS+G8m89zzOPbKeiYhOrEqzUfHaWc1dHyVqZR9ytkixIkSQtXUHhEomWK904tJms27qBlQWFLJFauNLtQPaaaOmPZcOeB7mvLJ8Uemnp7ApokwpNTAa5BQUkD12hyexkzNxBj24tT3z7KR7ZuZGCJC83auuor21kJGMVy4zhhMdmkleQQ3h7LZ0jalJL17NMMQQiEpawYkUilitNmF16CjYHJGMJWa63ofuGcAzpuSyN7qW21YYcv5FvPv0AK1NjiNSqQIokeeky0jzXqHes5Ilv7aQgSU+4NmqyPGUvppZ+Yjfs4cH7yshPgd6WTrpa2/EtX0OuQY1KE4p+eRmq+ZAPL/lY/eQLPPf1+6nYVMHmtdmo289w+kw9I5klLIuPJC4jj+WZKjrqu3H4DKx+9HE2ZRrQhceQlhmDrakFX+kTfPPBteQkRBOunklHQqzTqEUdmcTSFXPRGX8V7j4+/8MbHGsZQV+0h2//nV9fYkyc/+gcvQ4Ho3I0y8rXhpjMa5F9mxRJck4BRTkSLXVdjMg+htoGiN2wmwc2l7A02k5763XamwYIk+s5fT2VrXvuZ9PKDLTmVjq62mkZW8KaFXH+CfJiythvl/k56DrquD4aSfGj+3i4Yi2lpaWUFGSQkJhBTkCZ2sy1SjJBr4Wa93/Duxd6iF73NN9/9jF2VChyjLPVcr72Gn2RxZTl6PEtyJgUuj/Wqqf2gYzpageaVQ+wa3s5RcluOloG0OZNJGVy933OH944RsuInqI93+bvnnqEnRsLiDGd56PKbmzDDrzGTXzzW7tYuyyNjGUr5jdGL7h+zNXXS0QmLWVF4RKklit0O2S8phb6Yzew58H7KFMcEJ1dAXOSUPypZOLM79/kZG8au77/Ek/v3sKmTZvZWBjDQFUll3ujWVmWc+sX3zC3+dJNGdTyt9/+hfM9etY//TzPPraDiopNlKSMUf/Zac7WmokvXEGyLsBHeMzUV15mwBtL0abVJGnd9H3+B9441sKIvog93/47nnpkJxsLYjCd/4hzvQ4cozLRy8pZG0pyoPGxc6ma1vobOPWlfP3bD7FpbSmlxUtJihqj/m+/5S/ne9Cvf5rnn32MHRUVbCpJYaz+M06frcUcX8iKZGV1VIpMJqegiByphbquEWTZxNUODase2MX28iKS3R20DGjJmy2x4WLMWeelh7Pgk4hKyyM/W0XLlW7GogupKB/XHRW6pKXkL4um63I7w6oIfD3X8SzdzM7tG1mVqaX/WjdmUxeO7DKKjBp8UhRpecuIH6yj2QrpO5/hqe1llJaWUlpaTHZ8FFqVjKPtU9564yOuuHPZ853v8tSe+9i8qZxlYR2cP19NTZeOwpWZM77sUWkMpOcuRd9bS6tNJn7jN3n6gZWkxkSiTAmSWbosDc+1Bhwrn+BbOwtI0oejVi2Wb4skapKta8lcu44cPXd1TDFGz7YbwYul9m/89i/n6dGv5+nnn+WxHRVUbCohZayez06fpdYcT+GKZHRSCDam1zHj9GUB0Lz22muLV/o8+A//R7C/vsZ//On4zz/if3sj2CU/4j8HLfFH/CTY9f/x/+Q382jff3199v+/9uP/a0HL/HNsbJCEPl6szbX0+CBj9UrSxgcFKZyk1TvZcqGRylAq9lppru3BRwarV6YxUUwSq3du4ULj5FLk4at8fOgKw8Rz32PbWR7jH8LDjBQ/+DVamt6m+sIhzq19ie0p2nnfExwNUYnp6NTXlcmIJoqE1IxZ3yI5+iPZ++rDFOuVB1uSHsVg65tUDTVydXA76eMraOpIjGmrKdtZMPFJFI2epZv3UnH5Vxy/dJKr25ZSaogiMV2H+rpynyYqgdSMjBC2hi5S2+Vhrn58iCvDEH/fY2xfHuOfVIVhLH6Qr7U08Xb1BQ6dW8tL21NmzyQphROXko5earl5nSo8jpR0PVKL1t+mKPa++tDNNmWm6uhvntwmTVQi6VF6RiPUgJsRZz7ffniDsgpDGCnFD/Cks5f/78N2qg6fYe1LO0nTJ5EeqeH6tAZKhMelkB4xopxHmWYIc5frTULWfQ3RSenkRFWw/PM/02hqpj98B/njExRJh9EIZ1sdpJaXk5+Z4O+DKfJ09BO191UeKtYrg0dmKrr+Zt6sGqLx6iDb01PRakLTL3WkkbTVZewsmPgEhEa/lM17K7j8q+NcOnmVbUtLMSSlE52UyDcGu/iXE71Un25k7Yp0DBJYaz+nLW4bz91fREoI8gq5znnoDMhY6z7meJcXYjfy5KMb/H0YRkrxTp7w9vHL900hdGoAi+3bpHBik1OJVl1T+tvRR8TXXmVPYbTSv1kJuNt+waHuZo59Ucp3frCL3AiAJWTEjdD2q+OYmurocy4lO3zxZayJSiRdp/bbmIaohFQyphhKYJl+qWBv+IjDV4YhfiuP78wnTjshx1UP7uXa1X/lhiLwhRmTFEGE6I+n9sEN1Dte4cmyOGVSn2FgpGOI1ki1sk1PtlL38XEUNXuSRzf4bSssheKdT+Dt+yXvmwCtgeS0dOLUAFFEaq5P951+fxkxomyRnuaaFlo/5uzr/b5TL6F0qYP+qL28+lAxippkkqrrp/nNKoYarzK4PZ1U7a39qXewmVqlk1mZNr7tVSI8aTU7t1ygMeRODsRBf+ReXn14vG1LSI8apHVS2yZkUGeH+K2Pc39+rF8GWuLy7+fxLdd4/WQdh44UsvTJQqJnmKXL1jo+Pt6Fl1g2PvkoG/wPGJZSzM4nvPT98n3m5G2mjp2aaBLTMpQ2IzNc/xcOKY3m8fvzifW7Fm1cPvc/voVrr5+k7tARCpc+SWG0hBQeS3JqNKpryoWOG2p2vPIkZYpCkmEYoWOolchZI4O5jo1z64OFmXOEYUhOR2M+wQigTcog9uYNyrirdVQpn8x0O4m//1keXBJx036cdVW82zrGkNWFjA4pzEBy8igNw17ASG5eJhlT5pQe8xf89Y+n6SGTB/c9SlmivzMkHell21l55k2+6Pycyu41PJw9Q7IjTTRJ6TlEVazg9J8bMDX3E74jn4kpgREjZ2l1pFBenk9mQsAOh0XxbVNtPbC6uzumzIQy3tZhJ56tj99P/oRRkH//42y59jon6w5xpHApTxZGI81qY4vPvXRSUBCEXouFoUv/Mu3vKklxkj3nL9A2PLEVAymOsuf+gZe2JYeQYl+FUkwP5y+0MbmYMp77h5fYljxeisxw8zmanEB8MQUJU0rXpZKfoQUGqW0Y3zo5n3sWjrAlpeToA1Q8PJ6sOIARTMMTtWni17HvhcdYETnFHDTRJMaqQTbRMejmThJK2+XhZs4pwqW4IGFKf+tIzc9ACwzWNixI9tKwJauntCmBbKOKqfIMJK64eMpnCtTELFtNugow11Lb7wp63+IzF90HKSqH8uJooJ+LgdvIAUd7JXVjWWwoNs58liVsCatz9AEON5yEbCMqYMQ0PAfd1xC/bh8vPLaC6eqaiKKuHUyoaxhpFU+wK0sN/af467Fm+q8c5oP6OO5/fGNIQfLc6wx87BB0Rh6m5Yt2vEBs0VR9kTDklpIx55FqsX3bFLTZlCyNnuhfKYrktGgAInNXEXgiSGNII1kHjJiw32zXIst4PsjDNJ+/hhMwFhUwVSxSZDblW8opyVC2Uy/MmHQb/lizlPWFcRMr1hoja59+gSdXGpAAebiFL9q9QCxFxVM+fScZyC3NWLwJ0W3qx+37+jCWrM5hsppko6iJiZDVRCUpLx16znOhbZiJXpaIK3uOf3hpG8lznryGsaR0Stvis1CGu4m2ycPXONc0BhgpmiYDLfEFRRiBsavnaRmeaf+0zHDLFyhqUETxlG/oSIZcSufubGZGHubauSbGCG5D2vgCipRGc75lOOgRE83S9RTGTSzRa4xrefqFJ1lpWEhtDbUPFnrO4WLo+gAeIC47fspLYS8jfTcYBrR5O6iYclQH2QeoiYwMOBvvNNFpAcKSSI+ZImx5hGtHj9HqBn3pTtYkThmtNXoSogCG6e51MDsSUTkbUKYEF6nqmTQjoL2yjrHscoqNk+tYLN8WnHtwTAFAZvjaORRTLpo+3mrjKVCMgqvnW5jRlO8g99AZZUHoqInJ30j+ifdp7D7JWz+tIr2giMKCAgpWZGEM14X2/V11DPkb8znxfiPdJ9/ip1XpFBQVUlBQwIosI+G6wFLcmDtMfkc+Qtuli3RNKszL0Jjyk+W6GRcpaOZ1z8IRGa+fUp6GcJ0G8OLxTr7WZW6iqrKaq9f7sYy48Mg+wId72At4GHPfWWsNpe1ucwcmf7NG2i5xcbJw8U4IF7MLUm5TuNPbpCYsXE0weY4TnaifNjmWdEaSoqHTbqVr0MmiHi6ZiTnpPkA46evWEF/1GYM152i/L5PlkYBso6myGZY9wfLZJi6R8einyF8dFo4a8M4kvBlxYW6qorL6Ktf7LYy4PMqcwedWAkLPGJPUVZPIusceouX1AzRf+AO/vhhB7mMvsjZhLgoxxzpvPnYIOuM202X2ARKxqbHTd2iEGYiPgjb7HJq76L5t2oNO226qCVP7/xU92R+rtISpAZ9nit0soozng3uQDpMMSBiSYoIEuToyN+8m0//bgoxJfublj6MSiZlFpd3mLhQ1iyU1drrPCTPEE0Ubc1GzkLlN/bh9Xx9J/HQHhKImHkJVE3VMPhvzT/B+Yzcn3/opVekFFBUWUFCwgixjONPcZkgEaZsmHGW4m2ibe7CDARmQDCRNDYIArSEJgwRmeYAOs5sSQ7AVQTfmLjOKGqQyXQ3CMMzZ2cyCe5COgVlsSGsgSWk0Ax1m3CWGaZ9ljEqMuQMT9RD7YKHnHLKTgS4rEElq6tRjGS4G24cANRklSydvhfbYGbDLgJH0uIlOdA1dx+QFErKVs76BVQ1f49zVMUBP/qrU6Z+/9Llx+h/U5wvhs1Lh6axbG0/VyUFqzrVzX+ZylClBE5XNKpZ/YxnBpgSL4dtm5h4bUwBwM9gxgGLKSUw3ZS2GJAMSZuSBDszuEoKa8h1EBMpfEv6X117j5z//+c3f1bElPPFiBJXHT3Gh7jrdDefobjjHUfRklW1n787VpOhu9cZRTWzJE7wYUcnxUxeou95Nw7luGs4dBX0WZdv3snN1in/booxr1P/qydZCTVV3kKxzCaSmgjZOjU8GpPncMx/pBEellqbVp1KpAB8TblBmtPM4b795ih45mqXrytmaHU+kVkKFmxsn9nOyZ+HaFCqhtF12jSoJsLDRUlNFd5CdWAmKcFEvgHBDk2cgEmp1kDpVWmUABlwON16Y0yR6YZiL7itoE1ezPu0UH91opPKajbwSA7K5jspOHcXPLpmSbG8KKrV/hTPwb0rmxlDG5JvIo3Qef5s3T/UgRy9lXflWsuMj0UoqcN/gxP6TBFNXjXE1Dz/UwP94/xoudTJ5mbc+K3q7dUKIOiO7GfUAqAkL+sFTKaTvoE5msX3b1CYG6d+b/woig5s/+QtbbBnPB9mJQ8mwR9itzhuyUGPSbfjjWfoAQHaPKrsB1GHB9UnSLt6K8m3qx+37ehXq6Q4I1VwdkDqWkideJKLyOKcu1HG9u4Fz3Q0oZlXG9r07WZ0yPRPx7ITWNtnp8Cd8DAuez0SlVQJ/2Y3DNfOKsltxNqjDgve3NHdnMzO3tCEVWqXRuB2uoCvKwfRj4QmxDxZ6zuEepGPQBxjJjp8SMXlsdPc7gQSWJk/RKdcg12+uHI+HMTJj/V3YgMjUFKKnDHDO3kZuyIA2ldypUTSA20qfHSCMuLjg386ZjJbEkvWkf/YR3Y2VXLPlUWKQMddV0qlbyXeXTJ0RLJ5vC8q9OKYoDcPp8CdIDNMG1W2VVllEkN0OZjTlO4gIlL/EaOOWs+Xry9nyiJ3uplpqqqv44tognRcP8IZV4gdPryb2lrNhLXHLt/D15Vt4xN5NU20N1VVfcG2wk4sH3sAq/YCnV8eiRkKr0wAu1JkP8MwzhbMHBgDzuucO4zFz6aNT9MiQsvNZ9lUkBhiFA/nCok2dbhtJq0MDuNSZPPDMMxTec8KVkeUgbtXnxunfvaPVTXWUQRyxz4v39r1zEELVfT/qWAo35nJsfzOtlVcwF63FWX2B/rg1PJ52Z155esyX+OhUDzIp7Hx2HxWB28ccMjOqq3eYzqs38IRJ4Grn47+dZ8kzG5m6+2xB6wwVSUuEBnB6cbmDdbSMZ16D5WL6toVl0WU8H6QwpV/cXtye0AzwtsekRfTHkjYCRc1cBFczz+zZ1YMElD6vdwEmjrfmnvL12jiWb/k6y7c8gr27idqaaqq+uMZg50UOvGFF+sHTrL71xGPOSGFK/7m9boKqo8+DywugQTdjsCuhVZwNXpc7aN/J83M2M1R3Kxvy4VEajUa3iC9qFoiF1kPvSC89I0BMBklTX6I5B5Rt1EG+h+wyB1s5dmPqMAMq4rPjp6zee3GYhpQjU4ZU4oLEyS5TKzdcgJTCitTQxnN1bCHlecfYf62VyitmitY6qb4wgLHs66ROreMOzzXvyTEFAIkwxSjwuj1BbdDncSm7GDS6ebwkX3jugSYI5o6M2z5An9mf+l+jJ71wE3v3vcJr+8qIAVzN1XSO3qoYN/aBPsz+z9Fo9OkUbtrLvldeY19ZDOCiuboTpRgtxqx4VIDXNsOZJo+F1trLNHSP+Ccc87nnDuM202kG0JOVPX2Lk+8eeJs1E1pjFvGKcGc4N+LB0lrL5YZuRu7ScwQ7fys7LQyMAOhJS/B/R1Il+b/J6mFsyixWdtqwOhe4YXPS/XEk9HkbyI8Aes5T3dXOhUt20jaUMKddzLeB29yJoq5ZZE/bi+WbwYY8mKs/4FBHFo89/ywVieDt/IT9p7oJ5YT4/OqcA9o40uMAZGx9VqYdmfIMY76VL5vKovu2hWXRZTwftEYy41WAjG3APv1stuzC3FpPfcsATnmBxqRF9MfauHTlzKVso886/WCeZ9hMsOapJP8ZSM/YlABbxmmzstCuKRj3iq+X3XYG+sz+T8Jo0KcXsmnvPl55bR+KWTVTfctOnh9aY6YiA9lGv326DDz2fmwyoIonyzjTQWktcYqzQbb1MV0NPAzP2dnM2ugJG+oPYkMeO/1Ko4nPMoZ0hv9ustB66DJ1MASoEzKnBa83g+Fp30OWGeu/jhWISksl6mY6bju9PQ7AQEZisF0NfuPVRgTZkeCir64BGxCWt568mTLBTUXSk1euvFjtOV9NV/sFaobT2bAyfvoq5B2ea96TYwoAWoyZyngr2/qZbsoe7P02FFPOYkZTvoOIQPlLiYeBynf49bu1ysBwE4nozAKydNzc1jl7MQNUvvNr3q21TTYaKZrMgiyUYsZLkdDnrSNXC5jquGqeFv7gaDnGu/sPUm313cY9s6OS1IrS+mS/2/Ngqf+UD49UMzCffFtSOJFaACfWqY7fY6fPOvVAhgrJv53YN75a6rFQ/+mHHKkemD7JX8S2S/o81inCpe6qeXpA6mjh2Lv7OVhtvSOrHsEYrG+cktRDZri1hm4ZiClkZbJ/BJTCMcSEAaP09wUmifFiaaqhd5Y65iXXOel+ABHZbCiJAYY4f+AgtZ6llOfHLODW8dn1Sw6PVCZTTuu0gM5j72OaugKuvkreOzpA/iMPUZyYzdZv7CRd8tF7cj//1j56ywFTmkedc0KKJrc0Gwkw1zdgmtRnMsPtl+maa/6QRfdtC8uiyxhAJaGolo8J1arn0w+PUB3MUCQDy9flKMl56puYKhbZ0cwnf/oLB6otyNICjUlz9sehI0XnUpotAWbqG0yTfbU8TPvlrqCJ2qRwA4pr6qcvMEmZ10JTzWyeaeG4k75+Nn/a21PJO79+l9rJnYwUnUmB0skEc5sLgWRYzrocJale/TQZeDA3NTAIaHPLyNPPvKIcnVuKogb1NEx2NsjD7Vyes7OZtdEBNnR1mg15zE00KI2mLE+/4BPye3vO4cHW3Y8TiM1KnHJmWGbUv41an548JRmVm8HOICvHLjPXrYA0fm5ZZrjlBB8e/JzrY2qiU1KJABgZnJTcEcA7VMfxL2wgZXDfznxmVJ8gRGSuZ3UsMHSeAwdr8eSWkx8TZEawiL4tGPfkmKK0DMPydSimXD99vPWYaVKMgtyyvDn1xWIh/fjHP57xnz/+8Y+Z7f/Brp3pnlv9f771htqurwL2scma7e05zcmGoQBn5WawsYqWMQjLLSUrpG0xXnpOn6RhKEBZ3YM0VrUwRhi5pVk3tyFKhkL27l6Ojn5OvH+C5puvgmScfdUc/LAOZ1oFO/ImsnvO557ZkHRGEiIAxyBWlwzyCG3nz1DVZEWWx7BbrIw4lUFcdg5jtdhxepWzDjaLDYdHSZzgGbVhsY7g1qawqlBZYbp69FOuDPmN2ztM2+lDVA4C+HA7/NfLEjpjAkoTrChNaOP8mSqarPKsE8EFbzsGCvfuZrkO+k+8z4nmiTfWsrOP6oMfUudMo2JH3oyfyriJ7MFhs2AdcSqBhexk2NzHjd5B7HNp05SoSydf4oNP6hhwyoAHW9tp3j/cgptoVu6u8H82CiCc1OIlhAG9Jw9zurGbAVMvrRcP8d5FMN7HaBsAABgeSURBVPqT2zhsFiz2sUnJZ2aV66yTttB1f4IwUtaUkQS4zTbC88vJDerJPYzZp8jTasGuCA+HzYLNoWw78nlGsVmsjLiVM12z6Vd4yioUdb3K0U+vMKGubZw+VImirkr5g4NmLKZmTvz1BNYVD7ApXZmKqGOLeWBLGhJmKvd/TH3fEDaHe8aAeS51Wm32ueuxrCZ25YNsTVXB4Cn2HwnQl/YzHDjW608S5GXMbsVic4SYJXwxfdvM/St7x7BbbAz7D1d5ncNYLcO4ZFl5ZtuI/9yVl1G7FYvdiXbRZYzyKTPFUBi0upCRGWk7z5mqJizuMUUHJ5U5jGb5bnbl6aD/JB9+3oFjXElcg9R98jGNnnQqti5l/ETfbY9J4XPxxzbs1ul9YLEOBz/Xpo5l5YNbUdRsP0fqBlDUzEb7mQMc650h4Vh4KsVLwoBeTh4+TWP3AKbeVi4eeo+LGFFckwObxRIwRi+sfsjS3H29Z8yOxTqiPCMyzmGlLC+yIj+bQ9nC7PMwarNgHVFkfUt/6u3h9MkGJptVI1VKJ1MawsRjXm2TDBTt2UWeDgZOHuB0h8Pvs2QcnZ9z8GQ/hOexa3eRP4mSjNNuwWJzKPrv8zJqs2BXL+eBramoGOTU/iPUDSh95LG1c+bAMXr9Gcm8Y3asFhuOWzmbYGOn1YLFf6+haI9iQwMnOXB6woZkRyefHzxJP+Hk7dpNkeFmxwWxbwvW4eBnmGdjtr50O+fXBws252CMgc4hQEtcLAyP9xOgJHwyAxLGqSvt3mF6bjiAaBIinNjsTmU+4PPi8gBhkcpZdVcfVUdPcqlPQ5QGwjPK2ZCiAnstp+smvl7gNtfzyZ8O0uo2UvqNpyhPmuP2sLBkStelAG7MtggKN+QGf/ZF820yHv/8NLAvR6NWkH8XxxTrLJMvyVDEnl156Bjg5IHTdEwYBZ2fH0Qx5V3sLvJn9Z7VxhZ/bVz1/e9/3/fTn/500h+nBpZT/z+V8evHr5vr77cq73ZYyLLuNrmP/Sf+p23JgIy95TM+/rSKhht21PoEEvRaPMMmBmw+4vO38cgjm8iemhN+KrKdls8+5tOqBm7Y1egTEtBrPQybBrD54snf9giPbMqe8jbPhan2GAc+Pk/nSDixSUZ0sp2B/7+9uw+Ku74TOP5eQiAQiDwGybJCCURBKi09gxJpNK06hByJN5jzaqulvUKTKYlX4kxnnKTTOJnpTMNdHhxH6J1cNamZSDTRAGo0PRVsMDUtGkMjGIlhhfCQQDYE2MLu/bEsLPDbJ3Z/C6yf10xm2N/v933I7nd/u5/9PvUMctNt91KwbhVJ0+4SM0ljj5HOhj9SdaINY1gsccEGOnsXkVlYxNro0zxXUc/VSddHc9/mTazsf4U9B89NHiYXkMzGbY+RHniZv7x2mNqzvZgIIGRJOAuMRkJX5JJ57R1OtI19+QlM5ZGyR7ltQScNf6ziRJuRsNg4gg2d9C7KpLCogAylXxLVrHsoGHs+4e3X3uDDLwcIjlhK1CIThu4eBm+6jXsL1rEqyYUfIYY+58ieF/lkyNmFrtRpiNaX93DgUyNJG35E2vljvNHchyYATCZgQSyZ+Q+TnzVli5aRq3z8+gFebeod/zU6ICqDtQ9l8MXBQ3xqrVv0vWzadC9x459n9p/Xggw7vb0zavvWtH189Id9vH5xCTk/28wDWqWFQTp4+9kK6ie/oETft5lNK/t5Zc9Bzk1+8kjeuI3H0kPB6Lh9GS//hdcO13K21wQBISwJX4DRGMqK3EyuvXMCa3NdsGQRo9cmXtCFK/6NX/5gOYb3nuPZk5N3CrWcuxV7S5i4XKYujSWXmmfUjkcNLfzpyKvUt93AsriMmdGFCeSsz2X0zZdo7B9Ls/jb/HjLepIcTSNT+97m4PX92YpPqKh4f8pzEM/aJx4n7v1nqPro+uREN69la/FKFner/xwbOxv4Y9UJ2oxhxMYFY+jsZVFmIT/IOM/zBz9h8ts/mPRHn2Bj4nWaThzjjdPtDIVGE3dTADd6ujGELOe76x9i9fIwArz1mQRgdPF+vEBHWtglmvunpNckUvhkERmK8doohpY/ceTVeizNbAEB5lEWJuSwPneUN19qpP/mPLYWZxNpU9WRqx/z+oFXaeqdGC0VlbGWhzK+4OChT5m4NW2yfEar0D4iA9y51/+DjrefpWJ6Bdi8aSX9r+zh4OQbEAHJG9nxWDqO7qfrEntoeOMdPmr+CsOCcGJiwlk4cp2e7muYo2/j3oICchJDnXzeeFI3MHY3ceLYG5xuH2JxdBzhGLjcO0CI7k4eLLifzNix+7HpKh9W7qV2aqd/9H1sLsmi/70jvFrfhqUZBGAeXUhCznpyR9/kpYmbDd/+8RbWO7rZ2P3sDCHzsSd4KDkYjN0T76HF0cSFg+FyLwMhOu58sID7M2PHPwv/0fE2z077LgCaxEKeLMpwc/0Ee6/lj7iz8wD/PdPXwBvfOYyXqH3mf/jw2tjj8JX8tHQtuiBgpIeGymc40RXJPSWb+b7thrmD53npv17i/Ni8oYBvFPLLxzMIG+2j6fBzvHp+iOCoOMKGu7kalM66R9eTNbYF0Uh/M+8ceY0/fznIosg4IgJv0NNtIDghi3vz7uc72pAZ9eqb+v/KC/uO0XZTLiWbvmd/f19V7m1DfH5kDy9ObYDB6fzro8l8emx2PlOKCjJw+HUYI91NJzj2xmnahxYTbXlT0DsQgu7OBym4PxPrW9ml95iKFANlK1eDTHcDX18Gr/4UKNuuem01cr2bjs5eDMOjaILCiYlfRmyYuxMmR7je3UFnr4HhUQ1B4THEL4vFYTamYa52tNPVP8RoYBjR8cuIDXeyGMVM0ihnhLGvgy87+hjWhBKToCPO7f/z9DyH+zpo7+xnWBNCZHwCcUsc1M1kpK/jSzr6htGExpCgi3P8fKla97H6X+2gvaufodFAwqLjWRYbPksLIdgEyg9v48e3BzPYo+dSlwFTcAQ36+KJCLK76hSDvXrauwYwh8agS4glxKVxzTN9XmfQ9hmm7bX9vPDV3Wz691UuLYjlNmftyzRMX0c7nf3DaEIiiU+IY4naL7ZPyhzhRlc77T0DmBZFsUznaRk+urd5iw+eY5Oxj44vO+gb1hAak4AuLsylVT1Nw1f4qr2La0MQHBFHQnwkwQpV885nkpv3Y3eN3KCrvZ2eAROLopahi1uC6ctj7PvfvzKg+xe2/fQOwqamGR2kV99O14CZ0BgdCbEhs7BaP/jmXu/kfjpyne6OTnoNw4xqggiPiWdZrGvtyFv1G77yFe1d1xgmmCVLE1gWFex2+xi50UV7ew8DpkVELdN5t40pGH8PDUPwkqUkLItSfA95udSvwXcOa5WGuaK/SOe1EQLDlqJLiFH4/jDKYI8efc91jJoQIm/WEndTkA/noap8b5tW3Nz9TLHW78pX7XRZ3hQsTVhGlPpvCrfMyVWv7QXWttztBbc97w9Bs1VgWCy6lFhPcyEsVodb2QQEE6ldTqRW5TTKGREUoSUlwuOMJuUZHKFluat5BgQRoU3B/SqoUXdLvsGRWpZ7/uSqYAEhMbewIsbFa6NvITXa3TJm+rzOoO3fuMjp5mFueSCDaLXuoM7aV0AwEdrlM2h/ntTJF2UGEro0iRVLvZefT+5t3uKD5zggKAJtSgTuFhEQHEXC8iin13nnM8nN+7GLRq9d4OMvAkn95i0sTVrBRDMz0dfTxQBwky56+l7eAAtCiL4lFbdvTV7ni3u9k/tpYBixuhQ8fZVnLoDgqARcaI4OBYYuJcl7NxunXH0PebnUr893joBgonQrcPwMW76PpLj0fUQN6tzb7Bc3dz9TLImDiUpY7uQ1m11eDdtdnYM8U7t371YMnm0Da3vBtaNzQghh19AFag+8RrPBBIxy5dN6PtPcSs6t3l98RQihnpErn/D2seN81DVlEaehdk7/WQ+aeO78VpxyoCyEEOJrx6v9IbaB6LZt28Yf796926eLavlTj7EQ84cJQ3MNR+o7MPRYJpNceudFfv/hUlZuKCAzcnYGKnrMdIPOz89w9hUN+rhB/n66g/jv/zPJrsy3FELMHZoANKYu/lT1PN3fSSchIgjTQBeff/xXPr8ayR0bHnZ/MR8hhBB+y2efCLbBq/ToCuGfgqKSSf9mLCbumDgYsJjYRSrtGeILC2/mn3KzOH+5n84rIaTmPUZuVuzcnLcihLArODGPn5ek0ny+ja+622m9PIJm4WKiM9eR+61vkhQxBzbtFEIIMWfIdz0hhJcEEBx3OyvjZrseXrYwhjvWFNiG/kKIeSmQsPjbuDP+ttmuiBBCiHlgRmMH3R1G7eu9jP1p72QhhBBCCCGEEL7llUl2U+cm2x5z5bza5QshhBBCCCGEEK7S9PX1mWe7EsI1SvsoCyGEEEIIIYTwLlm2VQghhBBCCCGEsCGBshBCCCGEEEIIYUMCZSGEEEIIIYQQwoYEykIIIYQQQgghhA0JlOcJWchLCCGEEEIIIXwjcLYrIByTAFkIIYQQQgghfCtwXgRiQ5/zyr4X+fjG2OPo71Ly8zXEL5zVWvkH01U+/P1eajvGHi/4Bhv/o4DrB6ccK3uc9FDvFTv494P856EW/jH2OD5vKz/LjnQ6xMF09UN+v7eWiaptpOzxdLxYNR8ZxfDFGf52eQm3Z91KVNBs18cNSm3Gy+1jPhs1fMGZv11mye1Z3DqvXlghhBBCCGEl+ygLIYQQQgghhBA2ZI6yEEIIIYQQQghhQwJlIYQQQgghhBDChgTKQgghhBBCCCGEDQmUhRBCCCGEEEIIG7I9lBBCiFnz1ltvzXYVhBc98MADs10FIYQQwiskUBZCCDGrHn744dmugvCCl19+ebarIIQQQniNBMpCCCGEEEKIeedjvbqzSO/QmlTNX8xtEigLIYQfCwkJISgoCKPRyODgoN1japUlhC0124gv2vp3t7/j8Px7T3+P60MjbH73OQBeePAXMyrnzJkzLl+blZU1ozKE8FfHnv+Ny9eu/8mvVayJZ55++mm757Zv3+70vPCcBMpCCOGnrEFCWloazc3NDA4OKh5TqywhprJtI4BX24lS3mqWN9V7T38PwOMgWQh/5ii4m8qTYG/37t1Or9m2bduM8/cFe/8H23rbu6a/v1+VOn3dSKAshBB+yDZwtaV0zJtlhYeHYzabvZq/51rZu+px+EMDW1Nmuy5fb2azmfDwcFWDV6Ufa7xV3mr+j3379ime6+/v57E3nxl/bPs3uB8433XXXU6vOXXqlFt5CjEXzPcgVnp6vz4kUBZCCD+jFCRbg1elY94sy2AwoNFoPMy1jhLNWirHH+ewp8U2yLU9X0ytuYI8R9m11nCYjfxBMUieWpZSfnWUaI6yQfG4G/UQaDQaDAYD4L3g1cq2PaelpXHq1Klpx7xV3q5du3jqqafYtWsXAE899ZRH+dnT1NREZmYmTU1NANP+FkLYd/z4cbvn1q1b51HeSsG+s55ed4N/pfor1VvputzcXLfKck0j5fn13FNTRvb4MT3VpcVUXZh85ZodNZRlO0qnlH05+TtPKuTRSHn+TibOJFNUuZ9CrTVZPpZkk4/rq0spvvhDasocluqQBMpCCOFH7PUkKwWvnga09sryWOtnsKcF81hk3Lp3FampJawwV5BHK3tXrYVaM+Y8oK4ETUkd5goHIWrLOT7I2IBinKxU1qq9tDRsJQWoK9GwthKgmA2TE7pfDzGNN4NXV9q4t8qzBsZTA+QXHvzFeE+yN4ZeW4Nh26BYAmThD9QMYr2dz2xxtf5K13l76PVEMLqGexTOTw6MXU83Tl9N6c42iiprLIGuvprS4lKqK/dTyCUoqqRmLALWV5dSXFyOrqaMbH01B9qKqKwpRNtYTv5vq7l7fyFaGjlUlcSOmpkHyQDqLhUnhBDCZ1QLXH1dVspWKmzGSKfkbyRn/FEL5z4oZoM1Hk1NJ6fyKHUOsqs7WknxBjsBrFJZH5yjZexxXoUZs7mW4mkJ3a+HUJaWlkZQUBAhISHzpjxrT/KuXbvG/37mGUuA/OzqnwPTh17PhLX3uKmpSfFvIeardevW2f03Xxw/fnz830zOzyfZZTXU1OxgjVrp2i9ygSR0Y73BaO9mdfIFLrYD2kLKrN3EgPbu1STbpkvSoQVISBw/rq8+QFvRI457sF0gPcpCCOEH/CZIVlD3uydgT4tlWHPrZ5yFKb27DlNztLKYDRWuXd1ac5gPcjaS6vRCd+sxvyn11npzLrqvFtzyVnm2Pcpbtmxhy5YtwMT8w8Sx67bXT56P6M5CRjC5R/noqYt8ceoiEAEw9nc8tWc6pqVbmxXvVjlC+CO1e62d5eFpGXNv6LV9J3fmjw+Ntte77FD2IxQlF7OzNJHK/YVoGw9RRRGVSr3Uh6qgqNISBCckktx2CT3ZaNsvcoFEGOtN/mGNdnpiN0mgLIQQfsCXgauvymrdu4rUJz7AMv/XzipcKSvI4DCftUKe0iV1R6ks3oBrcXIdv3viA4prG5SHaTvirB7znNlsnhQsq7Fgm69XTPekvKlzlNUyeY5yhKplCeFLMvTaubk09No+LYX7ayi0PmwsJ39nKYk2c4Vdzefu1clUvfsuv82v4gKWgNs2C311KcVVF4A17LAGwdpCfpiUT3F+FZY5ymVQXUpb0a8o01dTWmzJizU7ZjRXWQJlIYTwA0ajkebmZp8EsL4qK2VrA+atQOteVmlKQGmxrNbPOEsGG+wEp62fnSUn/UkXSrMszHV2TwsNM5lm7KQe/sAaLKu1qnlzczNGo1GVvL1d3tQeZXsrYduy9jq7Iy0tDaPRSFpaGmlYfqRyxrIStvQoi7ltvgexMDnYd9bT6w//X5eM9Qxbhky7ka6xnOJ3V1t6ky0HKM/Pp9ymd1pbuJ+aQizzl/PLYWxxsOyyGmrKxjOifKw3ubG8iqQdNezPtiw4Vt7ofk+3BMpCCOEHrL1ivghgfVkWMKW3dgUZnHMxYSs1h2Gj8nLXNixBMrVm14Nkt+rhP9QOkn3Vm+xJefYCXqWVsD1ZFfvUqVNkZWXxvt4yRPyum2+FsR+pZCVsIRzzxfZSag+9duX/YO+a2duGqp2LF5xfNZX+Uhsk3WMTW2dzzxo4cEkP2VMibq2OJN5F6ZRlbvKvKENPdVsyiY8AaNElwUX3qyWBshBC+At/CZZb967idysaGF9Auu4olWRQmwKQSnpOJUfrKsjLw7KidfEG5W2ZHG4LZTURJLu3YLUb9RAOzacgWWmOsfULqdJK2DPdNiorK2v871xtGu/rmznVeZ5cbdr4+01WwhbzmZpDr9f/5NcepZ8rnAW7c2JP5sZy8uvvGR/WrK8+wMlk5bnF05Pms7OtyNKLfPdqkqsOUP1I9tiQ7UbqT0LSDi366lIO6fZP9AY31nOSJHZM67GePDdZl3SB+nZAq+dSGzhedluZBMpCCOFHZjtYDg8P97jXMSV/I2dTNUzMiLXdoziFrQ21lGis54upNdsJT1vOwcYnHc83rjtq2Qd5rcZmL2UoHgucJ7aHgkpNJTl7WmjYmuJePcQ4s9lMeHj4+F7K8ylIdsabPcrWXmSl47lay3tNepTFfKbmUORjz//G5Ws9CarVHnrtaPG/7du3Oz3vTRPbPMHJ/JMkF1Wyv1BrWUzr5E7yxzc5XsOOmsLxnmG76abSFrJ/x0Xyi/OpsuZkHXadsJq24nzyxy9eww6FPZkby3fSVlSJdRR29iNFHLCmW7ODmewUJYGyEEL4GaUA1hq8Kh3zZlkGg8Hj/ZlJ2UqDeauDC/KoMJudLtBVd7SSDGfLXedVYDbbvyavwoz9067VQ0zQaDSqBcm27bm5uZn+/v5px9QMyr3Zo+wK6VEWwr7du3c7vcbT4dlqD72293+wrbe9a7y9mNfkecA2tIXsrylUOOEknfXc5APUKF3spAzb/CbFwi6mc0QCZSGE8ENTA1hr8Gq7EJfHAa2dsuYG97aFEr6lRtBqbc+2i3RNPaZmz7U3e5StvcZW1h5m2+PSoyzE7HEWZPtijrRQnwTKQgjhpwYHBwkICKC5uZmRkRG7x7xVFvh+5WL78qiQodBzjvWHGjWC1pGRkfF2bc1b6Zha1OpRnrSYFxMrX0uPspivfBVEqjUP2ldzh+fTPsr+SgJlIYTwYwMDAy4d84bBwUGfzTUV85OabcSXbX2qmWz95CrbXuSzZ8/OkR+ihJgZXy5ANd+3ZJof+yj7t/8HqBWQnZfqPswAAAAASUVORK5CYII=
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
iVBORw0KGgoAAAANSUhEUgAAApQAAAGcCAYAAABndDDMAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAB3RJTUUH4AYRChEzXOuzqAAAAAd0RVh0QXV0aG9yAKmuzEgAAAAMdEVYdERlc2NyaXB0aW9uABMJISMAAAAKdEVYdENvcHlyaWdodACsD8w6AAAADnRFWHRDcmVhdGlvbiB0aW1lADX3DwkAAAAJdEVYdFNvZnR3YXJlAF1w/zoAAAALdEVYdERpc2NsYWltZXIAt8C0jwAAAAh0RVh0V2FybmluZwDAG+aHAAAAB3RFWHRTb3VyY2UA9f+D6wAAAAh0RVh0Q29tbWVudAD2zJa/AAAABnRFWHRUaXRsZQCo7tInAAAgAElEQVR4nOzdd5QV9f3/8efM3LqVBUQRRUVBNGIMSiyYIBrFrrFEBY2xBysx/GyRWBK7RlFJsEaCLUpsKEXxqygIIUoXYUHaNrbevb1M+/0x3JFddpdl7yLt/TjHo+7Ozv3ce6e85lOVyspKGyGEEEIIITpI3d4FEEIIIYQQOzcJlEIIIYQQIicSKIUQQgghRE4kUAohhBBCiJxIoBRCCCGEEDnxbPo/S5Ys2V7lEEIIIYQQO5kBAwYAzQJl3759t0thhBBCCCHEzqtJoAwEAturHEIIIYQQYiclfSiFEEIIIUROJFAKIYQQQoicSKAUQgghhBA5kUAphBBCCCFyIoFSCCGEEELkRAKlEEIIIYTIiQRKIYQQQgiREwmUQgghhBAiJxIohRBCCCFETjxb3mRztm2j63qb26iqisfjaXV7j8eDqjbNs5ZlYRhGk595vV4URWnxNVravj3laYlhGFiWhaZpaJrWrn0CmKaJaZpbfL/AVu9b7NpaOnY6S/Z4bn5cGoaBx+Nxz6n2HvfZv7Vte5sfxy2VfWtYloVpmk3eZ3PNP/tNz9m2rjlCCCFa1qG7WGVlJVdeeSXpdLrVbU466STGjBkDQHV1NZdffnmT7R988EGOO+64Jn+zcOFCbr311h8K5/Hw8ssv07t37xZfo/n2bRkyZAj33Xdfq7+/7777+PLLL7n88su54oor2rVPgIkTJ/LKK68wePBgHnjgAQBCoRCXXXYZ8Xi8ybY333wz5513Xrv3LXZtr732Gi+//DLHHXccDz74YKfue/z48UyaNIlTTz2VO+64A4CKigr+8Ic/8OKLL1JcXAzAHXfcwddff83IkSO56KKLWt2fbdvceOONrFixgjvuuINTTz21U8u7qSeeeIKpU6dy3nnncfPNN2/138+fP59nnnmGl156qdVA+sorrzBx4kR++ctfcv/997NmzRquueYa/H4/EyZMYI899sj1bQghxG6lQ4Eyk8mwZMmSNrfp27cvAOvXr2fkyJGbbX/nnXdy7733MnToUAC++uor7r77bkpLS5tsd8011zBu3DgOOuigzV4jFotttn1r9ttvvzZ/v27dOkpLS6murm7X/rLq6uooLS11919VVcV1113HggULNtv20UcfJZlMMmLEiK16DbFryh47rT0w5aKiooLS0lIOPfRQAFauXMlNN91EWVkZpmm6261fv57S0lLq6+vb3J9t26xcuZLS0lIaGho6vbybqqqqorS0lA0bNmz1386aNYsxY8ZgWRa2bbe6Xfaz79OnDwCpVIrvvvsOj8dDJpPpcNmFEGJ31aFA2aNHD15++eUmzc1er5eXXnqJWbNmMWTIEK6//nq+/fZb7r33XhYsWICmaTzyyCMUFRVx3333sXLlSh588EF0Xcfv9/Pwww+zfPlyevTowf3334+qqhiGwZgxY7jtttsYM2YMP/vZz5qU49BDD+X55593/98wDO677z6qq6sZOXJkk+179uzZ5nsaPXo0v/3tbznggAO26rPINtv7fD5WrVrF6NGjWbRoEU899RR5eXnuds899xzffPMNa9eu3ar9i11Xtlm1edePzvC73/2Ok046yT3uU6kUixcvplu3bvj9fne77GtvqYlXVVUefvhhIpGIG1K3lWxZOtKsHg6HWbFiBYcccgher7fV7bLvO/savXv3ZuLEiWiaRrdu3TpQaiGE2L11KFDm5+dv1uT1xhtvUFNTwymnnMKNN97Iz372Mz777DNmz55Nly5duP3227nooovQNA1VVXn88cf59ttvWbVqFX6/n0WLFrHPPvtw9913c/bZZ7v7/dvf/sbcuXOpqqraLFB2796dM888s8nPnnzySaqrqznmmGM4+eSTm/xu9erVvPDCC3Tp0oWbb76ZsWPHEg6HGTlyJKWlpSxduhSPx8OBBx4IOLU8zz777Gbv/8Ybb6RXr15NfmbbNoWFhZx++ulccskl/OY3v2ny+2nTpvHNN980qTVZt24d48ePp6CggFtvvZVgMNjqZ75q1SpeeumlJj9TFIVbb72V7t27A/Dhhx8ye/ZsjjzySC644ALAqYkZO3YsiqIwatQounbt2qRMM2fOBKB///5cfvnl7u8ymQxjx46loaGB66+/nvnz5zN37lyOP/54zjjjDNauXctzzz23WTlHjRrFnnvu2eRnS5cu5bXXXgOga9eu3Hjjjfztb38jFosxcuTIJjV08+bN49133wWgV69e3Hjjja1+Jlnfffcd//rXv5r8TNM0Ro8eTZcuXQB49913mTdvHkOGDKFv3768+OKLABQXF7tNws19/vnnTJ8+HYA+ffpwzTXXtLjdm2++yaJFiwA49thjmxy/m3rmmWeorKwE4KKLLmrywNGcaZqMGzeOqqoqLr74Yn76058C8L///Y933nkHgG7dunHLLbfg9XqxLItx48ZRWVnJiBEj2LBhA7NmzeKoo47C7/fz9NNPA06t/pgxY/D7/dx0001uoMrLy2uy7+z+R48eDTjH98KFC6msrKR79+7svffefPHFF0ydOpVDDz2UM844g8cee6zJe2jpWGjpfT788MPEYjEAfv/73xMIBFrcNpFI8MgjjzSpQbzqqqvc1ouvvvqKV199FXBqOe+44w6CwSB/+MMfKCoqarMc8Xic2bNn4/V6GThwIIFAgOeee461a9dyySWXEI1G+fDDD93t99prL2655ZbN9tPeYyHr9ddfZ8mSJZx22ml07drVPU/22GMPtzvPo48+SigUAuCyyy5rEui///5791jOan5d+Oijj5g1axbHHnssRxxxBP/4xz8A5zp+xx13dHr/XSHE7qnTriQffPABpaWlXHDBBRx11FHAD7UAhYWFjBgxwr15nX766bz11lssX74c27Y56qij+MMf/sD++++/xQtwW9LptBvYWhqsU1lZyYQJE/B6vSSTSbd289e//jVTp05l6tSpBAIBTjjhBFauXMm4ceN46623NttPMpnk+uuvp1+/fu7PTNNkzz335NprrwWcQDZhwgSi0SgA3377LSeccAK//OUvWyzPyJEjWw2US5YsYdy4cXzwwQeb/c40Ta6//nr2228/Zs+ezYQJE4hEIm6gbGxsdIPoFVdc4QbKjz/+mCeeeIJvv/0WcGqdfT4fl1xyifv5vf7661RXV5NIJFiwYAGrVq1CVVX69evH2LFjm4SPLF3Xuf76692mxMWLF/PUU08xbdo0d5t4PM5LL72EaZqcd955bqCcO3cuTzzxBLNnzwYgEAjg9/tbDXIACxYsYNy4cUyZMmWz31mWxQ033ECvXr2YOXMmb731FosWLWLfffdl8uTJgFOz7vP5uPHGG/H5fO7ffv755zz++OPMnz8fcIKn3+/nt7/9bZPXmDRpEk888QQVFRWAE2pUVd3sQef5559n3LhxRCIRwHmYaItlWbz22muUlZVxzDHHuIFy+fLlTJgwAYC9996bG264Aa/Xi6qq/Oc//6G0tJSjjz6axYsX8/zzzxMOh8nPz+ejjz4CnHPkzTffBOCSSy5xz8lPP/3UDR5Z2c//qquuIhAI8Oabb7J8+XL69evHEUccweLFi5kwYQL77LMPS5YsccNcVvNjoblkMsmzzz7LP/7xDyzLApwaxpZq8RsbGxk7diwvvPBCk583NDQwatQoDjnkEBYuXOg+IDU2NroPGddee+0WA2V9fT3jx4/H6/Vy+eWXU1RUxAcffMCCBQuorKwkHA4zb948d/uCggJ8Ph9XXHGFG4DbeyxsasaMGUybNo0VK1ZQUFDAjBkzACfgZwcOZR8GAGpqarjhhhsYOHAgS5Ys4e9//zvvv//+Zvs1DIMbbriB/fbbj6+++ooJEyYwb948+vfv7z6wKYqC1+vl5ptvbvNhVggh2iPnQGnbNtOmTXNrBVtqDrNtm0wm0+RJOHsDMQyDn/70p+4Nc9O/eeuttwiHw5xyyimd0s8se/PUdZ3nn3+ec889l/z8fPbcc0+3bNl/L126lLfeeotgMMi5555LIBDAsizef/993nrrLYYMGdIkUDZvMkyn0zz22GNuzQs4/UE3DZQ9e/ZkxIgRFBYWtlorA/DNN9/wwQcfUFRUxNlnn43X68U0Td555x0mTpzIqaeeyn777eeWYdMmzUAggM/nwzAM9/effvopjz/+OH6/3x2AVFZWxsMPP0wgEOCss85CURS3TG+//TZHHnkkI0aM4Be/+AULFy7knXfeoaCggHPOOQefz4dpmrz33nu8/vrrnHzyyfTp04f58+czbtw4pk2bRrdu3Tj11FOJRCJNuilkHzrmzJnDU089RU1NjVumuro6t0wXXHBBize9//3vf0yZMoW99tqL0047DXAC66RJk3jllVc488wz6dWrlxsWFy5cSHl5OSNGjCAUCjFlyhQef/xxAoEAl1xyCSUlJcycOZMnnniCTCbjlqWqqoqHHnqIQCDAueeei8fj4aOPPuKRRx7hwAMP5JRTTgFg2bJlPPbYY3i9XoYNG0YymeTtt9/moYceIp1Oc+KJJ9KzZ0++/PJL1q9f3+p3rqoqF110ERMnTuSLL76gX79+HHLIIZt9t36/H8Mw+OCDD4hGo5x00kkceOCBLF68GHCO+X322Ydhw4Yxffp0/H4/Z511FoFAgG7durnn4YwZM9h///3d/r319fVMmzaNsWPHcskllxAMBt3Xbn6ulJeX8+9//5vhw4ejKAqGYTBlypQmx0JzDQ0NvPrqqzz55JMAnHXWWRQVFfHRRx/R2NjYZNuqqiomTJjg1oifd955BINBJk+ezOTJk9E0jZEjR3L44Ydz/PHHM2vWLIqLizn99NPJy8trsyZ408/b4/EQCATc8yR7zHzyySf07dvX/Wxqamr45JNPePrppxk+fDg+n4+PPvqIRx99tM1joSXZZvm5c+e614Pa2lo+/vhj97M5++yzKSwsZMaMGUydOpUjjzySgQMHMn/+fN5///0Wrwuvvvoqp512Gvvtt5/7Gt99951bgx2JRJg8eTJjx44lEAhw6aWXSlO/ECInnRIoH3/8cZYvX84zzzzDiSeeuFV/31LfLV3X+eijj7jjjjtIp9OMGjWKww47LNeiuvx+PyeffDKPPfYY+fn5wOY1mtmb8P77788999zDrFmzSKVSfPrppzQ2Nm6xmcjj8XDmmWfS0NDA3LlziUQizJ8/n0GDBrkDlvbff//NmglbcsABB3Dqqady8MEHc/vttzNz5kySySRTpkwhFou5oeywww6jb9++lJWVMX/+fA488EA+/fRTvF4vQ4cOdW+s//jHP1i6dCkjRoxwuwUsXLiQGTNm8Je//IVhw4Y1+V4GDhzI3XffzdFHHw3A7NmzOfXUUznooIO46667+OKLL0gmk0yfPp1IJOIG98mTJzN16lT22msvhg8fzujRowmHw+i6zqefftpkaqU33niDL7/8kmHDhrllWrt2LZMnT+bPf/4zp5xySouBMlvOkpISTj75ZAKBAIMGDcLr9VJXV+c2+2Xtu+++/O53v2PkyJHU1NSQTCb54osv+Otf/8rQoUMpKSnhpZde4ptvvuG8885zy/Ldd98xbdo07r33XoYNG0ZeXh4PPfQQFRUVnH/++RxzzDFueV5++WWeeuophg0bRjgc5s9//jOZTIbjjjuOe++9l4MOOojXX3+d8ePHs2rVqha/c03TuPXWW/nvf//LG2+8Qf/+/QkGgyxcuJAePXrQp08f1qxZwyeffMLRRx/N/fffT01NDc888wwDBgzg7bffBpzjum/fvvzxj39k+vTpFBQU8NBDD2123B988MHccMMNbs32t99+y7Rp05oErNZ069aNCy64gHvuuQdwHhbnzZtHNBpttR9keXk5Dz/8MB6PhxNOOIGHHnqIrl27su+++zJx4kS3lg+gtLSUp59+mkAg4J63wWCQLl268Pbbb/Pee+/Rp08fRo8eTTQaZdasWey999488cQTbZa7vQ455BBGjRrFWWedBTijyD/55BP3szFNk4ceeojy8nLOO++8Vo+FthxwwAFce+21XH755SxatIiPP/4Yn8/HSSedxKOPPkpRUREXXXQR1dXVbkBs73Uha++99+bSSy9l1KhRhEIhUqkUn3/+OY888ghDhgyRQCmEyEnOgVJVVbfmYktzU7ZHMpnks88+46abbsI0TQ499NAmtTKdoaSkhLFjxzYJKM1vmoMGDWL8+PEsW7aMadOmcfXVV7u1OS1pPqI0GAzyt7/9DYA//elPbu1d165dueuuu7aqvEOGDOHnP/85y5cv59133+WGG25ocbvhw4cTCoV44IEHeOqpp/jjH//InXfeSbdu3Rg7dqzb7Je9Ib322mtun62sloLy//t//88NkwCDBw9m4MCBLF++nMmTJ3Pddde1WJ7svo477ji3L15xcTFjx45l8ODB1NXVbbbt9OnT3X6LbZUpa6+99mL//ffnu+++Y/jw4RQVFfH8889z6aWXMmDAgM1uqr/61a8YOXIk4DTzP/nkkxx//PEkk8kmA6wA3nnnnc2a9bNlURTFPS6ffvrpJs2S8ENteLam1zRNHnzwQbe/3/Dhw90a2LZkj7lgMMjUqVN55ZVXOP300/nDH/7AySefzKhRo5gxY8Zm52Dz43nTczOdTruBMrvdJZdc4obJ5ttvyYABA9wwmd1/WyOsN33d/Px8nnrqKbcrxs0338z69et5/fXX3W2z30v2OM7WnP/pT39i1apVTJ8+3f1eNi13ds7NXF1xxRVumGz+Gtn30p5joS3nnnuu24c520c0e64UFBQAbHb9+eUvf8mgQYO2eF3IOv744xk1ahTwwzVw8ODBhEKhbTIwTAixe8npamtZFuvXryeVSgGbh6pNtWei4GQyycyZM7n66qsBOPDAA3nppZe2OOVPR2xpQvRYLMb06dO56aabUFWV3r17o6oqZWVlLd5sFUUhmUxSUVGBx+Nxtwd44IEHqKurc5vntlYkEuHdd9/lzjvvxOPxcMABB2DbNuXl5Zu9j+xNJzv4Kfuzlt5v9+7dKS4uxrZtFEVBURR69uy52Xe16TQz2fJ8+OGHjB49Gk3T3JHx5eXlLX42zY+L5vvbVHFxMd27d3f/RlVVCgoKWg0GZ511Fvn5+dxzzz2k02nKy8u5+OKL8Xg8/POf/+S4445r8uDQ/KbcVllKSkro2rVrk7J0794dTdOavKc999yTgoKCJp9jS100mr9WWw8oWZu+TvbYMU3T/T47axLu9pSlNVsKj1v72m2Vpfnvcn3t9mjrGGmuvcdCc62957auU5FIhPfee88dWNPWdWFrXlMIIToip0CZTqf53e9+x8qVKykqKmq1H6BpmtTV1dGrVy9UVSUUCrlP4dkbQiqVcmsmu3fvTmFhIf/+97+3ON3PtvLll19y6623omka/fr1c/tTnnbaaaxcuXKz7T0eDytWrOCcc86he/fuTJo0id69e6NpGqFQyJ3UvSM3wClTpvDnP/8Zr9fLgAEDeOONNzAMg1NOOaVJ0yA4nfkLCwtJp9M0NDSgaRrdu3dvEjqyZRgxYgTXXHMN+fn5ZDIZwuEwmqbh9/vbnLR+xowZbrj9yU9+4g7yOO2005oMqNj0u21sbKRLly7usdBaMDj11FO56667KCoqwjAMtz9ddrR2c8lkkkMPPZRJkyZRW1vLZZddhmEYhEIhrrzySt5++21+/vOfN9k+HA5TXFyMYRhNypItQ/bf559/PrfccgsFBQXouk5jYyOqqroDJrLb3XLLLZx77rkEg0GSySSxWMyt5bRt2/2noaGBTCaDz+cjGo1uNvF9S7p06eJun0wm8fv9FBcX4/F4KCkpwbIs6uvrMU3T3XZr/BiBbEuvX1dXR5cuXfB4PITDYfcBddNt4IfryD777ONeR3I5rzpL9vuFto+FzjZ16lTGjBnTrusCOMd+a+fh9j4OhBA7v5zbOTKZDLZt8/DDD3P66ac33fnG5vDq6mrOP/98KioqiMfjXHvttcyZMwev14vX60XXdaZMmcKoUaPYZ599+PDDD3n77bcpKioikUgQj8fbvcRiZzFNE13X6d27N//85z/x+/1bbAZUFAVN09iwYQPnn38+69atIx6Pc/PNN/PZZ5+573fT14jH4yQSiTYv6JZloes6/fr14/nnn0dV1SaBZlPDhw/n9ttvZ/bs2Vx77bX06tWLt956y10ZBZw+pJqm8dxzzzF+/HhM02Tu3LkMGzaM6667rs0wuelnc9BBB/Hiiy/i8XhaLI/P58Pr9TJjxgxGjRpFPB5nzZo1XHjhhe40KJuWyev18u677/LAAw9gmialpaUMGzbMHUDTkv/85z8MHTqU0aNH07t3bz788EMmTZpESUkJuq5vVqb33nuPu+++m3g8zrJly7j44otJJpPk5eW5Nbp+vx+Px8PEiRN56qmnME2ThQsXMmzYMK688kri8TiKohAMBlFVlb/+9a+89957mKbJ5MmTOe2007jzzjsB5xwIBoPYts2VV17JnDlziMfjPPHEE5tNA9WSJ598kpNOOonHH3+cZ599ljPOOIO//vWvHHzwwbz66qvE43EuvPBCampqePHFF90ZFlpj2zbJZJJEIoFpmttticFsMI9Go/zmN79h5cqVxONxbrvtNndEelb2IaempoYLLriA8vJy4vE4v//97/nqq682O6/AOWcSiQSJRGKb18S191jobNnzsD3XBXCmCRs9ejTxeJxVq1Zx4YUXEolE3LILIUQuOm3aoIKCgs36Oh511FG88MILXHHFFVRUVHDuueeiaRrV1dUYhsFdd93FiBEjmDRpEg888ACxWIy1a9dy4YUXAk2fmh977DGGDBnSWcXdomxzVXl5eZO+ZTU1NQCbrcRhGAb9+/fnlVde4bLLLmPDhg1ceOGFaJpGTU0NhmFw6623ctVVV7l/8+2333L11VfTrVs3/v3vf7c5tYmiKKxcuZJf//rXbo1IbW0t8EMNSfbGlpeXh67r6LpOt27dKCoqanLDeOyxx7jrrruYMmUKEyZM4L333iOdTrPXXnvx97//fYs1lNnP5vvvv+e8885zX7/5Z3PNNdegKApPPfUUn3/+OUOHDsU0TWpraze76d12222oqsorr7zC5MmT+eqrr9B1HZ/Px/PPP99qDWU6nSYcDvPll1+6A2gsy3JrE5sHpkwmw9SpU/nvf/+LruuEQiEKCwt544032H///QG4//770TSN//znP7z55ptMnz6dTCZDly5dGD9+PPn5+e6Ai2uuuYb58+fz6KOP8ve//514PM7hhx/uLsPZtWtX3nrrLXdAxc0334zf72+xJq4lhYWF+Hw+kskk4IT0bJ+6oqIiLMsiEomgKAqFhYVbnMy7sbGRc845B03TmDhx4nabgzA7MOmSSy6hrq6OESNG4PF4qK+v3+zBbeDAgbz44ovudeTXv/51k+vInXfeyWWXXeZurygKq1ev5le/+pXb0tF8cFZn0jSt1WNhwIAB7rHQ2bLn4ZauC1m6rvPZZ58xdOhQDMOgtraWQCDAa6+91mTGCiGE6IicH0uz/YtaqgUIBoMcf/zxvPzyy2iaRlVVldvP7p577mH48OEUFxcTiUTc5dx0XaesrIyysjLKy8vdfxKJxBbLYtt2m+XZtOmstX592Z8PHjyYRx99FF3Xm5QjO4r2L3/5C9OmTXNv4KZp4vf7OeaYY/jXv/6F3+93328mk+GOO+7giiuuaBKMUqkU5eXlrF27ts1+Wqeeeir33HMPmUzG/Vyqqqp47rnn6NOnD7fffjuffvqpu/2m772l/fbo0YN7772Xc889l2g0Snl5Ob169eK5555zmxNt23ZrhZt/lieeeCJ/+ctf3O+qvLyciooKxo8fT79+/bj77ruZPn06JSUlXH311dx+++1kMhnKy8tJp9NMmDChSY0pOMHrlltu4brrriOZTFJeXo7P52PixIn07du31eBzzjnncOedd7qfTVlZGRUVFViWxfjx4/nJT37SZPvzzjuP2267jfLycqqrq+nSpQsTJ07k8MMPd5smu3fvzh133MHw4cOJx+OUl5fTtWtXXnnlFfbff383qPbs2ZOnn36awYMH09jYSHl5OYMGDeLhhx9mr732ApyuEH379mXixIn07t2b2tpaysvLueKKK9y+wluqQdv095v+t23brTZZZn+e/ffBBx/sToBdWVlJWVkZ6XR6s+023Tc4D0rZYNL83Mr+u6VjrK3zEJxa4IEDB/Lqq69SWFjIhg0bKC8v5+6773ZbOrL7CAaDDB48mJdffhmPx9PkOjJmzBj3OgLOQJWHH37YPW/XrFnTYutG87Jnj/fs+23rPTS/jrR1LDzyyCPusdCSlj7/5p99a9sOGzaMe++9t83rwpdffuleo04//XTGjBlDeXk5GzZsID8/n4kTJ3LkkUd2+sBHIcTuR6msrOxw5xnTNPn6669JpVIcdthhrU47oes6c+bMaXJxPPzwwykpKQGcwRzff/99m6/1k5/8ZIu1DJZl8fXXX7v96vbYY48mvw+FQixevBifz8egQYOahJSlS5dSX19P79693UEm0WjUndg66+ijj6a0tJTa2lr69++PZVmsXr2arl27MmDAAPdzmTNnTpMbbUufTzgcZuHChXi9Xneqm9Zky56lKArHHHMMS5YsobGxkUMPPdTtb5pdCxmcuQqPOuqoFgcDrV69mrKyMoAm5c++h7a+28bGRndFkGx5jj76aJYtW0ZDQwP9+/dn5syZfPjhh/Tv39+tPQwEAhx88MEce+yx1NbWMnnyZI488kh3P5WVlW4f1fz8/C024YIzZ+LSpUs3+/nRRx/t9uu97bbbePXVV7nqqqu49dZb3c/S5/Nx7LHHtrjf9evXs2bNGsAZLHTEEUe0uN2yZcvcWqG9997bnRaqua+//trtN9m/f38Mw2DVqjTLzvQAACAASURBVFWbffZt7X/PPfekf//+gLNyzP/+9z93u4EDB1JYWAg4KytVVFQ02T6dTvPf//7XPQ+PPPJI1qxZQ0NDA3369GHfffd19xWJRFiwYAEej8c9NufPn08sFqNfv3707NmTsrIyVq9eTUlJCYcffrj7t+29LoATnubMmePWSh5xxBHU1tZSUVFBr1693FHx4FxH5s6d2yR8DRgwoMnqT5uWHZzaw0GDBm0WmNasWcP69evp1q0bhx12GLFYjG+++QZVVRk0aBCBQIAFCxYQiUQ46KCDmqyMlT32fT4fRx11VJPztr3HQta3335LXV0d++67rztfZ2vXhUWLFtHY2MiBBx7IPvvsA2z5ujBgwADGjx/P+PHjufjii92lcMF52Dn22GOluVsI0SlyCpRCtGXMmDG89NJL9OrVi1/84hfuz+PxuNuM/P777zNo0KBtXpZsoLz88st56KGHtvnrCbGjuOeee3jhhRe48MILGTt27PYujhBiFyWLuIpt5owzzmDNmjX83//9nzsSfFMjR45sUiu2LWVnFeiMuVKF2Jlkj3k59oUQ25IESrHNHHPMMXg8nhY7/Gua5k7J82P41a9+RdeuXdvVhC7ErmTIkCEEAoEm3RKEEKKzSZO3EEIIIYTIifTGFkIIIYQQOZFAKYQQQgghciKBUgghhBBC5EQCpRBCCCGEyIkESiGEEEIIkRMJlEIIIYQQIicSKIUQQgghRE4kUAohhBBCiJxIoBRCCCGEEDmRQCmEEEIIIXIigVIIIYQQQuREAqUQQgghhMiJBEohhBBCCJETCZRCCCGEECInEiiFEEIIIUROJFAKIYQQQoicSKAUQgghhBA5kUAphBBCCCFyIoFSCCGEEELkRAKlEEIIIYTIiQRKIYQQQgiREwmUQgghhBAiJxIohRBCCCFETiRQCiGEEEKInEigFEIIIYQQOZFAKYQQQgghciKBUgghhBBC5EQCpRBCCCGEyIkESiGEEEIIkRMJlEIIIYQQIicSKIUQQgghRE4kUAohhBBCiJxIoBRCCCGEEDmRQCmEEEIIIXIigVIIIYQQQuREAqUQQgghhMiJBEohhBBCCJETCZRCCCGEECInEiiFEEIIIUROJFAKIYQQQoicSKAUQgghhBA5kUAphBBCCCFyIoFSCCGEEELkRAKlEEIIIYTIiQRKIYQQQgiREwmUQgghhBAiJxIohRBCCCFETiRQCiGEEEKInEigFEIIIYQQOZFAKYQQQgghciKBUgghhBBC5EQCpRBCCCGEyIkESiGEEEIIkRMJlEIIIYQQIicSKIUQQgghRE4kUAohhBBCiJxIoBRCCCGEEDmRQCmEEEIIIXIigVIIIYQQQuREAqUQQgghhMiJBEohhBBCCJETCZRCCCGEECInEiiFEEIIIUROJFAKIYQQQoicSKAUQgghhBA5kUAphBBCCCFyIoFSCCGEEELkRAKlEEIIIYTIiWd7F0AIIX5sumERihpEEibFeRp7lPi2d5GEEGKnJjWUQojdTkq3+KY0xtuf1zB/ZWx7F0cIIXZ6TWooo9Ho9iqHEEL8KBSgIWrw3ZowXyyO4lUtBh/ixd7eBRNCiJ1QYWEh0CxQVlZWbpfCCCHEjykct0kkDTK6TXlNjIrKzPYukhBC7JQOPvhgoFmg7Nu373YpjBBC/JjqIzpd1tVimLV4vPn07dtnexdJCCF2ak0CpapKl0ohxK5v0+ZtRZFrnxBC5EquokKI3U4kZtIQMbZ3MYQQYpchgVIIsdtJZSxSGRNkKI4QQnSKds1DOWfOHD744ANUVWXffffl97//fZPfP//886xbtw7LsjjzzDMZPHiw+7uamhrGjRuHZVl4vV5uuukmSkpKOvddCCHEVrBtG9u2URQF04J0xsTnVVEUZXsXTQghdkpbDJQzZsxg/fr1nHLKKSiKQjKZ5OWXX+bSSy9FVVUmTpxIr1696NevH7Zts3r1alKpFCeddBJr1qxh+vTpnHjiiYBzEX/zzTc5++yz6dWr1zZ/c0II0SJFAUVBQSGtW9Q0ZujV3S+BUgghOmiLTd49evRg0KBBDB06lBNOOIH+/fszb948TNPENE3mzZvHwQcfzAknnMDQoUPRdZ3S0lIAGhoaWLFiBUOGDHH/Wbp0KeFweJu/MSGE2BIFMEybeMqSMCmEEDnYYg3l4Ycf3urvFEXB5/NhWVaTn3k8zm5VVcXj8WBZFqqqous6Xq9XRlQKIXYYiqKgSpgUQoicbFWyq6urY9myZRx//PF4PB5sWzq0CyF2PpZlY1m2DMkRQohOslWBcu3atXzyySdceumleL1eCZRCiJ1SIm0RS1pIxaQQQnSOdgfKSCRCKBTiwAMPdJu4pc+REGJnFIkbhGM6iuKM9tYNG3k+FkKIjmvXtEGxWIyvvvqKlStXctNNN7k/z069salNf7al3wshxPagKMrGB2IF3bAIRfXtXSQhhNipbTFQJpNJPvzwQ8rKyrjqqqsIh8OoqkpBQQGKopCfn08qlXJHbquqSiAQAMDr9RIMBolEIiiKgmEY5OXluYN2hBBie9MNm1BMVs0RQohcKJWVlW1WF77zzju89957aJpGMBjEsiz22GMP/vSnP+H3+4nFYjzzzDNNJjY/5ZRTCAaD6LrOqlWrePbZZ92JzW+55Rb2228/CZVCiO3m4/81MPHjDVQ26PQs8fCboT0489juqKp04xFCiI7YYqCMRCLEYrEm/SU1TaN79+7u9D/19fWk02kAioqKKCgocLfVdZ26ujrnxRSF7t27S5gUQmxXmwbKvbt6+c3QHpxxTDcJlEII0UFbTHZFRUUUFRW1uU23bt1a/Z3X66Vnz55bXzIhhBBCCLFTkBnGhRC7nWjCoDFuomxsn5F6SSGEyI0ESiHEbieRtkgkTRQVUhmLqoa0TBskhBA5kEAphNjtWJaNadsoCmQMm8aoIYFSCCFyIIFSCLHbURQFZWNDt6KAoiqyao4QQuRAAqUQQgghhMiJzN8jhNgt2chyi0II0VmkhlIIsXuxbSzbRsFZftG2wbYkWQohRC4kUAohdiuGaZPOWHg8Cn6PimnZxFMWEimFEKLjJFAKIXYr9RGdxphBvl+lOF8llbGpCmW2d7GEEGKnJoFSCLFbsbJN3gqoioJt29iWLTWUQgiRAwmUQojdiqI4fSeb/7/MGiSEEB0ngVIIIYQQQuREAqUQYrdl2za2zB0khBA5k0AphNgtWRaoqoLf64z0jiUNLJk+SAghOkQCpRBitxJPWiRSJgG/QkmRl/ygimHa1IV1qa0UQogOkkAphNithBM60aRFwKfRJV8j4FGxLJtEysS2ZWiOEEJ0hARKIcRuxTBsTNMChR+mCsqO9JY8KYQQHSKBUgixW2k+bZAQQojcSaAUQuy2ZJS3EEJ0DgmUQojdkm3bqIqCqipg2ximhEshhOgoCZRCiN3KD7WSCkG/Ro8SH0ndYk1lEpk1SAghOkYCpRBitxJLmsTTFn6vSn7Qg6Li1FBaUkMphBAdJYFSCLFbicRNYkmDgFclP6g6I73dUd4yWEcIITpCAqUQYrdiWjaWaaOqCpqiIBFSCCFyJ4FSCLFbUVDITjjp9KfczgUSQohdgARKIcRuS1UUPJozw7luWEi2FEKIjpFAKYTYLdnYeL0KBXkedEPW8hZCiFx4tncBhNgR6YZFRnfChc+r4vVIT7tdjW3beDWFfL+GYdqEojq2zBskhBAdIoFSiBbUhjMsW5sgo9sc0juPA/YObu8iiU6SypikMzYeTcXnVQEbhY0jvGWUtxBCdIg0eQvRgvLaNB98Vce/Pq5i4aro9i6O6EQ1YZ36aIbCoEZJoQek56QQQuRMAqUQLbAtAAVdt4klze1dHNGJNp1vUkZ5CyFE55BAKUQLGqIGjVEDFGSgxi4sGy5tbKf/pHzVQgjRIRIohWhBKm2RMSx0E9K6pIxdkW2DV1MoCKqYFoTiUhMthBAdJYFSiBY4tZI28YRJbVjf3sUR24jXq5If8GAYNg0RXZq/hRCigyRQCtECw7IxTTBtG8OUlLGrsW0bGxtVUVBVBXvj9yzftBBCdIwESiFaEIoahOMmKgqWBYZpbe8iiU6QzFikMxZ+j4bPq7r9Y7N9KWXSICGE6BgJlEK0IK07fSgVBZJpk3pp9t4lRGI6iZRJ0K+S51dlwJUQQnQSCZRCtMCZVkYBBTKGTVSmDtolZHQL3bTwqApeTcFWnOZuy62p3M4FFEKInZQESiGaSaadZlEFwLZRFAVNksYuYdM5KAEUGzyaQmFQw7Rs6iM6piy/KIQQW00CpRDNhOM68ZSJqgCKgm5YxJLG9i6W2BZs8HpUigs8mJZNZX1a+ssKIUQHSKAUohndsDBMsBVQFYV4yqSqIbO9iyW2hU0qnhVFQVGb1mCK1mV0i2TKJK1b0hdVCIFnexdAiB2Nc2+0UWxnGpnmzaRi5+csuSghKBdrN6Qoq0nRo4uPPnsHyA/K7USI3ZnUUArRTCpjoxsWiurMUWhZtjSD7iIM08a0bDRVQVMVbFvCZUd9ubiRce9V8O6XdVKDL8QuxrZtwnGDunCGeNLEakffcnmkFKKZmsYMkYRFQUDDo0EkbrB+Q3p7F0t0gvK6FKGoQXGhh+ICT5MaaNu2NobL7V3KnUMoZpBIW0SShsyCIMQuxgYef3M9i76Pc/4vu3PWcd3pWuRt82+khlKIZqyN08h4NfB6FCwbGfm7A7Isp7bR2ooaRtOysS0bVc2ukAOqAn6P06UhlXGW3BSty9bohmMGqYzl/kwIsWvInuONcZNIwqA+YpBMbfmhUWoohWjGWTFlk6llFKQP5Q7o35/VsK46xS8HFDOwfxEB75a/I8X5MsmGRkUBn1ehpNBDXUSnsi6NaRZC2w/iu72M8cOSpOGYQTgmsyAIsauwbVhblSaZdlaLiyZ04uktB0qpoRSimYawTixh0L2Ljz27BoinLGrD0kdsR7P4+xifL2xkRXmCZDsudq1RUNA8Tm1lRkYsb5Ft29SEMiQzFioKybRFIi19jIXYVdi2TTihY5g2imJTWae3a7U4CZRCNBNLGCQzJkX5HkoKNDK6RTQhfcR2FJZlU1GXIhQzNk5Cb2N3Qp7J1kRLbXTbFEUhrdtYFoC9cWDT9i6VEKKz2CjUhHR3cGpDVCfSjnugBEohmrE23iCdfnZOn0oZ5L3jsG2bhrCBYdqoikIsZRJvR/+e5vvYlWoiLcsmljSobWx9RGYiadAQ6Zya9saYQVp3bjaxlElMBuUIscuwbZvakI5uOCvFhRMmycyWb4ISKIVoJq1bZAynxsrrUfFqKpYNyZS5S4WQnZfzxJwxbBTFGYUfa2egjCctUrqF36sS8GtOsGTnD5dp3WLBqhj//qyWafPqiSQ279NYHdJZsibeKRORh6I6acNCURRiSVNWkhJiF2LbNg1RY2M/aZuMblEf1Uls4cFRAqUQzYRiJom0ScCnUpzvIT+guSfUzh48dgW2DVUNGTK6hYKNabOx+XXLQhHnopjv18jfGChVRcHnUbFtSOsm1k74HacyFl8vjzJlbj1T5zW0GCjrozrfrIjxfUUy5+M4ljIxDRsFZ+R8ez9/IXZX8aTJolUxPvm6gRXrE9u7OG2ybYWGSIaMAX6vitejUh8yCMXa7kcpo7yFaCaZdpaTC24MlH6fgmFaxJImtvSv2+5sbEJRA8OwQFFIpizSevtqKHXTwjBtNM3p0oCt4NUUCvO8WDbUhY2dMlCapkVdREdVIRw3yOhO38ZND9dE2mTpmhhdCjUO3S8vp9cLRZwaShRnUFNat0mmTYJ+Lcd3IsSuqaohzdsza5izNMIZx3bj4N65nYPblAINUQPdtOjZ1Uc4bhBLGlvs2iI1lEI0l70L2zYooKrOfxomKDtf1tjl2LZNXaNORndCYW1jmlCkfU2uCkqTkIUCqqaQ51cxLZtwTMeydr6HBtOCcNTAsmyiCZPGmNFk7lTDtAlHTdZVp1lZniSeY/eNWNLCMJzmMAWbUFSnIbrlUaBC7K7qwhmiCQPDcs6XjLFjVuvbtk0qYxGOGygo7LOHj8J8jVDcJBxv+zq7QwZKy7ZJJE0awjrRhIFpyl1c/DgyhoVl2ng0Z7Sv36NSEPSgG85FQI7EHYCisKEx49SQdeI3kh3hvbNVQtu2TcawWFedxrSc0FxRl2kylVJDRKe8No1l2VTWZVj0fTynyfozuoVpgaYqKKozt+euPjo+o1vEkgaJpIkuo/TEVmqImISiBqoCiZRFTWjHnIrOMG0q6zOYJhTna/Qo8ZPn81DdkKa6oe2Hxh0yUKbTJjMXNfLkpHLem1VH4xba7YXoLBU1acJxk64FHoryNLweCPpVJ1DK5M3bnW3bmIZNKm2CDaqikMpYpPWtu8E7lXO7xuOBbdvEUxb2xv+2gcq6dJNAWRfOUFGfQlUV4kmDxatjzqpBHaylLKtNE0uadCnQKAhqWJaNtYs/+K+qSPLR3Ho+XdjIhgZZilVsnUjCaTJWVYV42qSyfscMlLZtE0s4XX/8XoWiPA2/VyWWNImmdsIayrRhM39llCVrYnyzIiLrxIofjbVx1G92QZUf1nm23Zu12H5MC1ZVJknrNj26eMjzq9SHDcLx9l0jbDbtW7hr1KilMzYVdU7AydYSVtWnm0zz0RgzqQ0ZqCpEkhb/WxElljC3ev7I7HlgWTbYsGdXP12LPNSHdSrqd+2QtXBllPe+rGXmwhDVIankEO2XneqsMWaibKyhrKrbMQOlacHqqiS6adO10EuPLj6CPmcgXjzZ9gwRO2SgNEyb9TVpMrrNqsoUybSsXiG2D01V8HoUTJyRtJIoW+YG7k3+2RYs26YunMEwbQJ+DU0F03bW527Pa2Z0G8METVPwajT5Prd12beVjOlM8QHg27gmeUPEGZgDTm1sOG5QG87g86jk+VSicYOvV8TQO1CrGIoa6KZTc+/3OGuim5a9S3dNsm2bqlCGuohJJGYS3UJfsvbsb2uOtx/r/NrRy7Cjae/nEIoZhBMG2M68jomUQdWO+gBm28QSzly2fp+CpioU5nvI82k0Rg0a2zj2d8hAaVk29ZEMpuXMf+R0MN/epRK7g1jSRNdtAj4Vr1cl4FMozveQTlts2EGbKHYEkYTB5Dn1/OP9SuYsDTvhexuwLScsmZZNUb6HogIPXo9KY7x9k2vXRgyiSYOCoIfCoAcb8HsUepR4sSxYtyG90wUjw7BoCOuoCvTZO4hHg7XV6SaTvYeiBpG4SfdiLz/pk08ybTN3WdgZKb8VbNumPmJgmBb5QZX8gIamKBgm6MbO9bltDcO0iSVNDMMmnnI+y1zYQCptbXGQw6bbJ1MW66pTlNemt7qLR2cIxw1mLw0zc2EjDVGdHLrg7jJKy5MsXh3b4naRmEE8ZZIX1CgMqoQTJuuqUz9CCbeeaUNlfRrDgB5d/AT8Cnl+jYBPJZYy2nyY2uECZVo3KatJk9Gdi5eiKIRiBpl2TgsiRC5CMZ1kxiQv4JxAmupMK5N9uJGH8pZFYgYfzq5j5uIQ361PdKjmqz0s2+kwrhs2xfkaJQVe/F6VRNps13reuu5MG+RRFTRNcVdEcuahtElmrJ1u2qC0YVFVn0FRYO9ufgqDGmndoiakk9EtGiIZakIZvB6FfXv4ObR3PrZts7I8yYYGHaONp3XDtIkmfxgRbqOQSJuYpo2qQFG+h7yARiRh0NCOtX53VnURnUTKBGysrZj3tDWm6Xz+YyeV8+TbZZTXth0uTNNmfW2aFz6s4un/lFNe++M/3FaHMkyaWcukmbVO7fYOOkr5x2LbNou/j/H1iugWaylrIzqRuEnXQg97d/ejaQrhuEltY2aHq+m1wamhBPICzj2wME8lL6ASjpvUtTGjxg4XKDO6zbrqtHtRt22b8pqULO0lfhQZ3ca0bFTNqerftO+kbrLTjQD+MaQzFutr0pTVZYgmLMpr0xjbqAbFtiEcMzBNyA94CHidUdntXU+6+Vrdm36f2RHeO9toZdOwCcedvlnF+RrFeR68GtRHnKlJasM6NeEMBUGVvbr6KCn0sEeJl1jSZOGqGJlWapOTKZMVZQkWrvrhhmnbzoo7Gd2iuMBLYZ6KpjpBPbUdas3aUhPKMHNRiP8uCzNveYQVZQkq69Mdmjlk/YYU4bgzoCIcN3OeIskwbb6vSjJ/ZYz/m99IQ6Tt/ZkWrNuQ4rt1ceavjLGh4cevSY8lTZavT7C2Os2S1bGdria/s0USBmU1aZatTbCyPNnmtjUhncaYTkGehz1LfBTneUjrFhV1O16gtCyb6sYMhmlRnO/Bp6nkB50Hx8aYQU0b/Yd3uInNdd1yOpjbCj6vimHYbGjIkEjvWBcrsWtS1Y2BY+PAA79PozDPQ0a3qAtnV8rZuQLHthZNGHy3LoFlOYOZvq9KktnGNZSGadGlQENRvAR9KpG4QThusGdX/zZ53R1Z2rCpakijAF2LvOxZ4qWyIU1dWCeZNqlpzFAT0skLeuha5CXoVzmkdz5fLA4ze2mYoT8rJi+4+X4r6zP83/wQQZ/C8YcVuz9PpJwuSEG/hs+joip0Sq1dZ1tTleT1GTUEfCookB/QKAho7NfDz7Cfd6V7F1+791XVkCGRMp3+b2mz3Ut9tsa0fhhI5dSKt729bdtu3zVFgdpGpyWlIPjj3cJ13d64trNF6foE6YxFXsDO6QGsuiGNDey1E563jVFnsu81VUnmfBum7z7BVj+LUEQnnjLpVuSja6GXLgUasYRJRW2aAQfk/8glb51lO107YgkTz8b5eRUVgj6nxW5DfbrNWXd2uBrKtLHxRFNsenb14fEohGKm28FciG0pFNVJZyyCfg9+nzNdQn5QQzdsIgljh3uazFVGt9ps8myPxrjB0rUJFJyo3RAxiCUtZyRwJ7JtG92wqItk0E2bgqBGl0IPPq9KNGm2uNzg1ux7Z/xubdvpW1cfMdA0KM730LO7H59XoawmRTRhURfSqW7QyfdrdCnwEvCpHLh3EL/XCV0VdZnNmi/TGYuVFUlmLWmkvDbtPkPZtjNxumnZBHwKRfnO/uIpi8Yc+xV2pmTKZH1NmtKyBN9XpmgI66wsT/DZghCfL2rc6rKGYwbpjRO5Axv7jHb8vDEtp+XNtGwU1Zn6qq3zxbJsakIZZ55RRWFDfeZHbbVLZyxCMQNVUTBNm9qITlWDvnGt546y+bo0xqwlYdLbqM/1thRNmCTTFqGowZI1cdZtaL3bQkPUIJKwKAiq7N3NR7diL6mMRWVdaofqRmWazmh0UCgKaqgbW+lKCjQKgxrhhNXmIhI7XKDUDYvymhQKCof1ySe4MRUn2tE/Sohc1YR0EimLojyN/ICKZeMGDVVRUHey5tDW2LZNQ0RnxfoEjdGOBzHLdkYYr6lKoqkKBUEVBahtzHR6P0rLsglFTWwgf2PtmKb80OTd3vxqb5waalOK4oxWBueiurOES8O0CCcMPJpCQcCDz6NQUujFo6lU1mUIRXVCcYNEyqQwqFKUp6IqCsX5GvvsEcAwYd53kSYDeMCZx3J+aYQNDRk2hHTCMcMN3TWNOmnDpjDPQ0mhht/n9GGNJXeceVprGjOsqUqRH9Tot2+QE47owuDDisnza0STW79ee00oQzxpEfCpTp/dlEk00bF7km3b6LpNVb0zW4GCMwq4rYE2pmVTUbsxgGJTXpfq8Ot3RDJj0hjT3fPGsmDZunhOg4PCcYMlq2PM+TbC+podc4BKWxrjBpGEiaoolNWm+GJRI1YLs00k0xYNG7ufFAY19urqo3uRj0TGYl1NCvtHXH7NeTBofZUew7TZ0JjBsm0K8zQ8mrM8bUHQQ0FQI2NY1Ef1Vgddthook2nnif/HHE1mmjbhmEl9xMTvU+jbKw+/V6W6IUMksXOusbujSuvO2tQ745PhtqS6AcV2nxw9qoLfp2LaNrEcl6zbUSgKzF4aZvKcOipzmA8tmbKoqE2T0i26FGr06OJHURTK6zp/JKph2lTUp7Etm+7FzujuoF/Dt/EGn0i1/XrpjFMb69Wcjuabfouq6jTv2DY0xs1Or13dVhJpkw0NGTRVoWuhF1V1aik9qkJj3KCsNk1DxMDrUSnaOIDJtsHnVejfOw9VhTnLIpTVpN0aN8O0+W59ggWrYng0lVTGYnVlcuPckz/Upnk1xT1fNFXBssmxxqrzVDfqrKpIUpinccSBBRx2QD4D+xYQ2DhvaSRhbLZSUDLt9I3cNBRkl6GrqNdJpU265GsUBFUyutnhSg7LsmmMOWHEsmwUG+JJs80HMMuGcMLEMp0m5rVVqR91wQ/TdD4HVVXwe51lSpeubr3/bZZt26QzLU/7t2J9ksq6DOurU3xTGs25pi77Xf1Y525jzCSaMFA1hVDEYP7KGFUN6c3eR10kQzxtku9X8Xmdf4rznVavirrMxsGeLZc5lWnfYMO2ZHSL6oYMy9fFmbmokalzG1j8fazFB0DTsqkNZbBsKMjzODWUChsnOVcJ+lTiKZP6SMv3jFYD5aryBJ/Nb2R1ZTKnJbq2RiJjsrY6haYpdC/y4vU4F3lNU2mMmWR2sE7fO7OGqM6ydXG3H8+m7I1LX25oSFPbmNkpP/dsDVwitXXhwLRsrI1LyjlreNsE/RrdCj1kMhbrN6R2+s7otu2s+vPl4kZmLY1Q2ZDucPNdbTjD8vUJgj6Vvr3y2HsPH6oCFbVp0p3cqmBZzndqWRDwa6gqFAQ9BH0KjXF9izWtdRGdeMqpJcj3a+6F3wY8mkKXAo8z6KQhTWYHnQLHsuwmK9xkMhaNUWfKoMJ8FUVVKC7QCPpVkmmLpWviVNRlKMx3bmLZSd19HpU+PYN0K/JSWZdh5qJG6jaO0q7f+J06QVQhnbEoq3FuMs4IUAPLdM4Lj6bg92oEfSrJtHOD3d5My6a2UaeyPk1+QKNHic8ZtIVCK6D9kAAAIABJREFUQVBD06A2pG8WhmpCGeYui9AQ0ZsEyqr6NCndJD+gkbfxuDNMm3QHu2FldJu11Sm3Rt1W7I0POy3vLxuUakIZbJw5VDc06ISiuT34WLa98TW3vI9I3FnZxe9xmmwB1mxIEU+3Xttrmk4z/aLvYxjNav0ty2bJmhjrqlPUhQ2+XRMnHM8tIGdnLgjHf5yuScm0QTJtkud3zq2qhjSfL2jcbAWqUEQnlbbJD2pOn0TF6ZNYENDcY7W17/H7iiTflEb/P3fv9WRZdp13/vax15v0mZWV5U1X+wYaTRAkQBIiRZESY2ImxoYmFIoJhf6FeeG8KGZiXhSaGI1TaESORIoWBEGiAXQD3WjfXe2qurzNzEpvrzfHnz0P+9ybmVWZVZldRQAzKwLRHei8x+yz99prr/V936Kzz+x/L4BvdELWqh4zKw6f3WrxF2+v8z/9yRz/6jsL/LsfrPDvX1/j3ct1Nuv+jvguiiX1tupCVszqGBqQVOmyKXWYcrwt3dv7bUdAub0LwofXm/zxG6u8eUHd9KAfKIoV3ukg2KQgiKk0lXMcLBroGgwWDCxTUOvLNvz/w6SUP7NAfTfz/JirM23uLHYf+D5BGPPp7Sb/218v8W9fXdk16Py7tiiSdJyIrhs94IweZaq3seQv317n/SuNA2Hrau0AN4wS3S29f72ehNX9LOFfFJNS4rhRf8097O/8IOZHH1e5t+bieTF3Fh026l8uS7lRD7g53yVlaRyfSDGcEB0WN7yk1/aTs0jKhBil/IJp9Ppui8TpPfz3nq/6Txs66Ns83/avub070i+atbohMysui+uq2QMoyaBKU3XAyWeMPmt9pGSSsXVuzHVYXFeZumJW3xE7ZNMav/xMgWxK8M6lGneXHIIw5tq9DtfutSlkdEaKJo4fM73k9APK1ZoqeRczGrYpSJmClKXhBZLmYwp+PwlrdkIW1l28QFLOG5Szah0LAYWMjqEJWk6Ifx922I8kM8sOH99sIaUaSImg0gwIQtlnyRezBtVWxPJ9wtT9DNkjJqIXxkmiZosEuLjh0d7DTwWhKo9LCbmMrt7BEKzX/QegCgcx14tZrXp7ZhB3vpvyybYpmBhW0lS1dsS91d0rEVJKNuo+3/tgk3/3g2U2GsGOezQ6IUtJ+07DUL3nz19vful3AcWEf+PzKpdn2jg/g1ih2gypNkOOjqV4+UyBRifig6s7DyQAq9WAlhMykDcp5A3ipEJQyOqEgWRxw9tVZ9vzYz642uDf/mCF96409ixT9yyK1JhfuN3ib97f5F//9RK//+9m+R//eI4ff1ql1Y0oZw0GigazKw7/z2ur/NlbG8ytuf2kURBIZlccIgkDBQvT7PlBQTFvUM6ZNDsBa3toMu+aoaw0fe4sOlSbIe9dqfHmxRruAVjWUkK1GXBjrquIDPv8neMphrcmoJAx0DWFBzINwdy6R631ixVQPg6Q33Fj1mo+3kPS3Q+7b5wEEK4ff6mevKsVn89utbi14DwgSByGkkt321y/19mRufhZmZSS1ZrHX76zzvc/rLBW9Q4UfMdJ2v6TWy3+4EcrXLrbemhZYbs12hFeIEmn1GapMjqiD06OfkHJG1LCGxdq3F508MO9n1FKVW5773KddjdG0wV3lxyWkg3rIBbHSoFhccMjZWlMDNoUsyqoWan4eE9YKi+MYHlDZcoGixamLsiktKTPbLxvDF+vreb/1+w/vL7Gf/9vpvnD11b7osiOJ1mpBhgaDBbNPjEqn1UH8c1GSL0TU8qaDBWsvi8WQmBoglOTaSYGbbqu5L3LDW7Mdbgy22F2xWVqJMXzJ/N4gYIa9Pp1S6lwfyroVoPZg4n8IjC9V2tqTubTGqNlO3k+oVjwRVXGm1v1HsAgOk7EtdkOH16tE/Z8qoSlTQ/HjRgqW+SzBuoAI3cEjuqgpsTiNxO/vlfWKYoklUQmKJ/WE/iF3HP9xbGk5YRICYW0zmjJImVprNd8Gu0vH8BXWwHvXq7vmkG83zpuxFpNlXcHCiaTwzYCuLPsPFCSlVJJDH10vcX33q9QbYWcv97ckdG9vdBlrRYkWrI663Wfy9OdAycPtu6pfPONex3+8Ier3Fx4sLIqk4ysk2RVH8ePx7HECyV+JClldU4eSjNSNNlo+Lz9RX2HD663FeYwk9LJWHq/6jVatvCjmMUN94FDiJSSq7Ntbs07LK55/PB8lev3Og/d66vNgD9/e4N/8UdzfOedDS5Pd2g7EfmMxtPHMvz21wb4p78zzj/5++O8eDJHHEt+cH6T/+Ovl7icyEDFsaTjqpasKWvbwVpCxtbJpnXaTryndNCuGcq3vqizsumha4JGO+L1T2q89kl13+l1KSWXptv8799b6v9ut0G4PyBzfMnKpo+uKYFeTYN8zsDUBY12+FjEHHmfA3hck1LieDHuPk53u/12cdPjj15f5a/eWSd4SACw++9VGv1//pM5/uNPVplfcwkOuBAdP8YPJXeXHC5tU/qXUi2SyzMdul6yAL/EOz6OBYno71+9s8mrH21yc75LdIBPH8bwyc0mzU5ItRXyxz9Z46PrDaJHZO7UHKHfHqu3mCxTUMqbuEHMzLK7b/LHk7Re5UCV5B90PlJKPrzW4F9/d5HPbzV3XXNSqjLdu5frbNQDilmFibk+12V6yTnwN16pekwvOaRtjanhFJmUxmBBBZQ9EPqTnDfbnZ1tCoQGGVvDtgRtN6L1CAzlQa035j/vA0Tv+y5uulRbITfnu8wsO1sbZCJnY5saIsm3DuRNLEP0nz+f1h7IUAohMDXB154qUMjofHazyZ+/tc7VmS6DJZMzUxnGBy0EsNkI2Kj73FlyCEIo53WsJHuRthU0qeXErH/JTPeTMikls8sOtxe7FHMGh0fsbUE0pExVsu66quvN9t81uxF3lhTr/e5SlzjptLqy6eP4MQM5g8GiYrV3vZjWNqZ4GEluznf496+v8vt/eI/vvb/JRlJOfKACFEmWEmHyiSEbSxc4nmoJupv5oWRm2UUC40MWI4MmlqlK9PvtYb+bdZyIj681+ZM311mv+Q+d60ESiOkCylmDieEUQsDV6Q5dZ+e6i2PJJzeb/Mkbq8SxpOvFvPNFrZ886QmCL214HJ9Ic+5IFhBMLzl8cbf1pd5FStUNyo+USsyrH1WYXt7yab3s8YXbTf7VdxaoNcPHwmyu1jyqjYBi1qCUVfPi2RM5Ok7MW1/UExKb+ttaK8T1YjIpQSrBMKcswVDRxPPhzqKDvM91hZHk4p02txa6GIZgZsXlz99aZ2nD20EU3W6xlPh+TBDFjJRNfuOlMv/1t0f5735ngt/+2iBPH82STyv41q+/UOI3XhxgtGxxZbbDn765zu3FLkGkmiQAjJZtbKOXqYeUpZGyNIIwxvF3n3c7AkohBK4n+fh6i7V6wDeeKfDssSyrVZ83L9Z5/0p9X4M9t+by2a0WsysOb3xW56PrzV1TuisVb0f2q+Ooko6mCYZLFrpQQHPTENTbAc5jEEhqrZC7jxAfPYjFMfzw4wo/vVg7cIDRdhS77b0rDV7/rMYbF2oHalvW9SL+zavLXJrp8MPzFf7lny/w1+9tsF7bvzOvNAPaTsjcmsv1e53+/+8FMdfvdai1gn6Zd73mP7bu2kGs1gy5Md/F8VU7vblEXmO/FoWS8zeaqiwoJfPrPq99XOX6TOehv3O36cH1F6xUpJyUqYGUBNHPp698LOHKTJvvvrfxQKsvCdTbqvwys+zwxz9Z48NrjV0dZrMT8uaFBl0v5qVTBZ4+oohv91ZdljYPxrTcrAfMrXtkUhrjwxZaEqCMlCyEJphbc59o6SkMJTOrKvMwWrawDa0f9KvN8Mtfe7dqQ8uJuDyjgPY/b/N6GoCosv/8uiqTtR3Vws3QBeMDZr+UP1AwsSwNiSCb0ilkTUxTQ96XmdU0wdSozbHxNFEMl6Y7zK+7HBlJcWYqjW0KSlnVeacHY5BSAfRV1h7SpkbKfvhG87O01ZrS3SxmTA4PW2wV7WB8wMI0RKJtvPWsrheznmDZ2t2QT2+2FElGKsa760syKYNy1iSVdGZqbCPFxFLSdCLa3ZB7ay7feXudf/FHc/zpm2ss3wcZCpKxREpOTWZI2cnz7LFWetqAUkLaNpgYtElbOmv14LFwhx0vZm7dY3bF5d+/vkq9vXc10fUjmt0ATYNs2uDYqAoo7yw6D+zLn91q8hdvbeD6MaMlE8tUJf3Pb7Vw/Zi2GzG7psrdYwMWL57Kc/JQmo2Gz+e3vhw5J5aSSkMJ1ktUQuG9bdU1L4j57HaL//Nvl7l0t827l+uPRRp0XIkXxNiGwDQ1Mimd4+MpBvI66zWfNz6v4Sbza37dpdkJGcxbCU5bYlsa5YJJEEkW1/0Hkh1XZtpcv9fF0AXHxlKMlE1uznX5zjvre86TXsXAMgSHBi1ePJXj8LBNIWOQtnRMXetX2zIpnWePZ/nW80WmRixuLnT505+uMbuqklOmDqa+lVQRkn71I4jYH8s7iiSf3mqyVvMZyBscH0vzK8+VeOpIltuLXf76vU3e+LzK7IrDWnXv4OXmvAKSxhIWNlz+8u0N7q04RElUGcWSH5yv8L9+d4l3LtXpuhFeELNWCwjCmHRKJ22rFx8bsEhZOgvrj5feX9rw+PGnFRY33McOCKJY8upHFb7/4SbXZ7sHxp/dXnB47ZOqwrBUfP763Q0u3G7tq71k2wn53nub/YVnmRr31jz+6t0N/tV3Fnjt48q+MIONdkDXVY7q7qLD4roKtr0g5tLdDn6giAqakAoD8phg+5WKx1+8tc67l+tJiWTvb1Brh8wuOwihypyL6/6+A8ogjJlddVlcVxn233ipzOSwzZXZLt/7oMK12d37rkqpyreuH1HOmWRSqhXf/QC7J4mvqzYD1muPDlaqTZ/vvrvO//X9Fd74rMbsys7AL45hZsXF8SKi5N///KcbvHe5vgNY2HEjXvukymrVY6RkcnIyzempDOWczvXZDjfmDnbgWqkGTC85ZNM6U8MpQICmsle6ECxtek+sIYGUEjeI8XyJnjBNezCEbNoglzaotQI29jGeche8pSYE2bROLGF+zeUnn1X5l382z//ynUVe+7jG2s8xqJRSsl5TTHqEyjoub/rcW3XxgpgglJiGwEwCbCklA3kdW1dzuJDWKPRwhPddWwiBqWu8fCZPKW/QdSOKOZ2jYykKGQPb1BgZsAgjye1FRdSJUSLhRo8pvw1C8PNGgyxuuCxu+GRTOqMDSj6pZ0JAMWeia4JqO9jR2afZjVir+QghaLsxH11rKj8lJJvNEN9XQvqZlNareO9IkkSRgnlEMQzkFNlietnle+9v8JfvbDK9rNaW66sDchir1qFpSyTajnuLm4ehIgYBlHMG4wM2tqmzsO7tSY7Yj3XdiI6rqmwX77T44fnKngdA14+ptSIMQ2OwoFPIapRyBmEUc3fJ6f/u6myb739UYX7dZXJYCcg/eyyHF8CPPq7SdSIu3G6xUvEYKik832jZ5OhYio4bc3W2y1rdPzDZKIphdqWLF8akLY0glPzk8xqf3WrhBTEf32jyH15bY3Hdo96OePWjilI2+JIavJWmT8uJyKZVGVgCgwWTr5wp4vqSH39WY27do9oK6LgSw1DZPU0XSKna+RazBrpQHXcanZ2qA1dmOsysOhwasvnmc0VeOpVHAB8nVYS98JQywYCbhqo+Gfrue5UQAtvQODWZ4ZVzBQZyBl/c6fAHP1oljqGcNxAJIad33WJWp5Qz6DghG/XdDzI7ZPYl8NOLNWqtkBdP5RguWwzkdb56Jkfbibgx36XeiSjnDExDgcB/8ytlnj+ZV90IgLlVh0vTLTpOzOFhC8vUuLvk8B/fWOOf/94EsYQfflThvasNVqs+m42Act7gpdN5Vqs+pqkxmDf6YOWUKUjbaoI0OiFBGGMaB5fPbHZD3r3SQNc1/uk/GFPloQMGBj2M0KsfbfLqRxWWNnwGCz5Lm96+lf6XNlw+uNpkYcNjsGQyWra4s9jlr97dYLhkcWIiBUIQhKp8ZOmC4bK6tkrZt3n90yp+AL/ybJHDwzYLGx6XZ9pcutvB0AWHhm2ePZ576HM0unH/hL646XFltsvkSJogkHxxt00US8aHLNaqPm0nfGxh+UY74s3PayDgo6tNXjmX5+UzebK7dHpYq3ncWnAQCIIoZvoASgN+EPPZrSZdL2Z80OLsVJbRAYs3P6/x8Y0mlikwDI3T93U1kEL0cU+WqfBlCkOlTqCFrE4YSjZrwRMhU/mhAlw3uyH/+bdGsMydc7onW/TelTrvX2lwdabDRiMgY+us3geIllIyv6ayR8MlE8+Pubvs8MPzFRBwajLTD0LevFDDDyVfPVNgoKA6p1yZ6XB5us29VQc/jLH2sb4a7YD5NQfXjxnKm8oBCdAElPMWuqYkQZ5UQOmHMavVAAEUczraNqHtlKFO5X4Q97MOXTfii+k2c6sux8ZSPH8iRxip76vrqo/3lrcEXYd8RgUCP/m8psgnFYWFC4Ia5bzJb39NdZn5WZsQgo1GgO/FieyPZHq5y/nrDYpZA9MUlLLGjr/P2IrpLaUkk2jIqYP07j5vdMDi3JEM9XbI0dEUJw+lk4yYxsSAzeyKy9yqh65pxJEkl1GkKCllgq0y2Kj5VJtPLkPZ6AS0nZi0rVHIGLtsjpIoUWTo2cK6x2rVp5wzGCmbO/5aE4JCRkMXsNHcqRrScSPqnSA5xCqM4+XpNhNDNl0vIpNSTPZy3qCQMWh0oh04slhuya0cP5ThxHiKxQ2fS3dbfHitzpExmxMTaVw/Zn7dRwDDZYtcWq2bthvtGSQonJ1PHEMpZ5BLa2TTGlFEvxtS2tYPNLZdN2KzrtaTyrhKfnKhxrGJFF85UyBt7byeF0jCKEZA4h/U/l5pKnxkx1XVpKuzHW4vOIyVLX756SLHxtPYlsa1ex2mlx2uzHb48HqTSiPk5KE0gzkTwxCMlk1GB0zW6z4f32jyu68M9nVh92M9PHcYSk4cytB1QpYqPq9/WuX2Ypdb8w4rVZ/jEyl0XWNuzeV7723wz/7RBOX8wdd0taXe1zI1bEtVr1KWxqlDaW7N2yxuerz2SZXfeLFMGMdk+5h82Sf+2YYi5gRhzK0Fh5GSha4J5lYdbi106bhqDzs+nmbYiWg5Bd6/3ODdL+qcmUrz8pliP+7q2UEimliqb3lqMqOC4E9rzK0qPLySHksOiIrziGlomIZGGMs9CZc7dvNb811VchZwfDxFIauBUCWRrz9d4PKMTrurskcdLyIMlRB0GEleOp3HMjUu3G1z4U6LgbzBL50rYlqC5ifqpFB4c51WN+TinTZRDDlbY7WiypFtJ6beCTF1ocDl20Yml9KwTEGzG+L6Bw8ou27Eej2gUg84f73J2cMZvvl8MdlU9mkJXum1T6p8PzndIGCj7rG86fOV04++RJRgEz+61qCQ1fnlp4sMl0yaHVXi/ZM31/ilcwUanZDlTZ/Nho+hCSaGLKZGVW+073+4yWYj5LkTWZ4/mWMgbzA2aKFp8PGNJvX2owWGXV+xpzUhMAzBWtXn8nSbbzxbZHbVZa3uk01pnD2codUNWa0+XleGKJZUWwGLm57StFtxmFlxuHi7zYuns7x4Kk8xq5x/2wlZXPdwvJhyTqfrKeboZiNUAHZ9728vk9LQ57fbhKHkqSNZynmdoaJBuxvz7pUaH15t0uxGfO1snm8+V2SgoFjJgp4GZdK/G1Xuj2OwDEEmZRBGigX+JNIw1WbA9Xsdppccjo6m+cazW63teti47767wVsX68ytuQwVTSaGbFYrPut1H8eL+6DpOFYdT1xP8syxNIMFi6v3Olybc2h01xlNZFNa3Yj1esjEkMmJiRS2ofVLpbcXdWaWXaaXHJ468uhWYH4g6boSQ4Osra4jpRrDwaKBkfSSflJalHFMn8hQzqkDJxKElvTfRjnIXsKh1Q35yadVbi86nJnKcGoyTaWpNt9cZivY6nlLTSiHGccqOC9kdF46laftRtxbdXntkyoDBZ1vPV9+rPdodkMKmYO1y5OoNm9uGDM2YOKHSmrkykybyeEUhq5RzBl9/GTvoPTMsQylnMHogMVQwUTeX+9OTAiBLuDpY1nqnZDJ4dSO0txwWd1zetlhsKjmkqH3spKSlK2TsZReZeMJsrw/u9Xikxstxgctfu2FEkfHtvpDhpEqG795ocapwxlePJEjnzGYW/NY3PA4MppibMDesVR72dhcRmetHrJaDXDciHRKp9EJWdn0Sds6AwWDaiPkpxfrfOOZImEkGSgoAXfLUC2B3SDeUXqMYxINSxgpWpyczDA1kqLVDfnibptrsx2+fq6AQJXQNU0wVLIo5lSgvFYLcfeAC8iYpBytxKYtXVDM6KRTGpuNgFo7PHBA2fPrlqlxdDyFoQmuz3f4y7c3GchbnD6c6QfwHUfpc9qm1j+4aJrg+ESG6/ccrsy0mVl2aDlKC3akZPLS6TzHJlLompIAPDOV4fJ0h9c/qzK/6hFGksMjNoNFkziG4aLJU1NZ3rnU4P1LDX7rpQEM/QBtHaWCSoURTAxajJSznL/e5PZCl7tLKjt8ejLDK+fydN2Y1YrHJzebPHcyx68+WyKbPtj4NbtKMmh0wCZr6yBFkgHXePlsnpUPfT681qCTBO6DRVNlMrf5nJStMTFkc2Ouy/c/qBDHkm8+X+KDa03uLjmMD1pMjaTQk8Dz3JEsc6suKxWf2WWXF0/m2Y1XfX/Thr1MCDVv05bOU1MZWt2ID642AHW41rQk48n9hbq9q3Q7PNsPzldodSKOjqUZLlkYuqY030zFYhrIm3S9kEY7ouNGzK643Fro8pdvb1DIGhiGxoVbKjt55nSGs1MZENA4G/HelTo/vVCn7YRMDFo8dyJHPm1waabNjbku9XaIrgssA0bLZt85gkolpy2NjVpAtRWQP6BDbjuRwhcKwWYj4NXzFY5PpJgcSe043e5lPUDv21/U+d57G6zVA547kaXSCFnc8Fje9Pp4Q0g6erRDPrzaoJjTOTyc4shoitlVl4+uNai3I549luGFE1l0XfDLTxf48adVPrjSYG7NpdYKqLciLFO1uZICDg3Z2IbGTJJx+drZPIWM0pXLZ3RGE5kQeHQ3l2YnxPFVQFLOq4B2bs3l8nSbm3MKjH5ozGZ8wMbSNVar3gNBahDG+IHc10J0PMVoDyPJSMlkbMBmueLx+qdVbsx3KeVMnjthoAmlrzaz4pJLaxwdS7FS9Wl1IxY3XA4NWTzsdn4Qc2/VZXHDxTYFUyNqzDRNcO6IEnH+4k6Li7db3FtxWNzweflMjpfPFgDV+SBI9PUsQ0OytWlqyT+jWD4RivD8msdKRWHhfnqxxolDqX6WW0rFFv3+hxU2mwFnDmd44VSOjWpAramIRisVj6NjSkRcIrm36uL4MUdGU5ydylLM6nx0vcXiustKX7hcUs5pvHSqQDalJ8Go5NCwzdiAycyqw7V7nX0FlM2uanyQsjUKOaOf7NOEYLhooemCpQ33iUh9dZyIKzNtPr/TIpKQzejovdOzVOXXdEqj48TU2yFHSLDAcx0anQQT3A5pdFQWKG3rmGbiLaFfwpRSYhkaJydTnBhPcfpwFseNeEfUubXQ5W8/qJDP6Lx0qnCg55dIljc9rs52ubvoMFDQGStbDJdtDg0rGZqHrVkplVC368ccHUth6ALXi5hZcdmoB5g65NL6DqcvJZyeynJ0PK2CIEORAfa6jQSGCiZfO1tQpbnkoGLqgkLGIGUKNhohdxa7+KGkkDEwdQ0ptzy1lDxRUemrMx3euljn+ESK05Pp+wJKJbfy2sdVLtxuc2O2w8lDaa7Odug4EeWcIh888M5CzRdTVwGg46mAst5WvryY1Xn+RI63L9a5dq9NKWfgBSpTZBmCGImugaULwgRLlrJU1mZhTalRFHPqe5bzBqcOZ1jY8Jhedrk22+HskQwbNR8hYKhgkLbVw7lBvCtDPghjNhqqKlJIq1awCOW3M5aSNKo2QyYGD9YLu+XErFZ9bBOmRlNMDls0uorw9fonVcp5g/Hkml4Q43gqkZNNqQBG1wSHBm1sS8P1VSn82LjFQN5gYshmakTtHbFUB7UXT+a4Odfh6myXIIwZLKhSt21pRKFqo3pkJEXGbjK76vDhtQbfeqGEaezP10opmd9QerrlnMHpQxmCIKbZDqm1Q546kuUbzxSYGlVB/jNHs3x+p83ffLDJoSGbp45k9ywP72ab9YBWN+L4hEYurdaWFGDqat86eSjN9bku5683CULJxJCtZOh6clQSMimdF07m6CZ6sY6vAvcPrjRodCKeO5lnatRW4vdCkLE0hksmazV/V7WRPmFTin3D+npBZS5t8NKpPM1uxI17HfIZNYcPutPtiMw+uKrYoU8fy+wQwVVBpcahIQuEAt/HUczhkRReEHNltsMPzleIYrgx12F80OLc0SxpW0fGkudOZKm1A7642+H0ZIbnT+Y4dzRDLm1gW4K3nIjpJQchBKMDJsMlG01slWcGiqrUtFJRJfIjo+nd3mVP6ziR6kOqqQ301kKXH35c5R//5ij5jM6jEsVBJLm75PJX726wXg85dyTDr79Y5uIdVVJbr6vWZKW82f/7a/c6/NGPV8lnDU5MpHhqKsv0ksPV2Q6jAyZPH8up8ZFw7miWajPk0nSbjhMxUrI5fdiglKjpbzQC6u2QStNnfNDi688UEhb81uTs+aL9xDqbjZBOUko6OmrT7JosVVx+erGmyjgCTkykKRdUJqjRih4Q8a02Ay7caXN4xObsVBZDZ89xbDshKxUfyxAcn0jxylNFFtY9Pr3VZHZFEbgmh22GiharVdV/N5c2ODGZIYig2XFYXPd46bTkYV++40Z8eqtNEMGpQ2m1ySYbYz6tOmYMFgyuzKjyy/c/3GRm2WE0NFkXAAAgAElEQVS0bHFoyKbSUGLHxZyekHDURqtpKishJThB/DD4Z9+iSNLxIhw3opA1SFk7IRazqw7z6y5BqObK25fq/Be/NqKCh5rP335Qod4OeWoqq6ANozbThsNw2aDRUeSbY+OppB1hQK0VqM0/a5BJaZyZymBbGssbqX5GX0qJaWg8NZXB6rH3pGBiyGakbDK/5imxYifcFYqw3RpOQL0TYluaWkPJchUJ1sY2NZY2faqtkCDpTvMwU2V7l81mSBjG/bFyfHVwvXRXfTMhYLRkYRiqg4OQkE3rpFM6jh/RckLCKKbSCml2FJGh0YlYWHfxt10X1PP2vrGuwVDR4qtnNM4dzTIxaKFpAq1k8LKXp+tGXJ/r8N13N8ilDI5NpDG3bUCOFzG97LK86WGZgnJO4TpjKVlYd/nibofPb7VYrXkIIRgfsDg8YnNkLMXXzhY4O5XZM8skZMKa9yVpS2dqxKbjxFyd6VBthgwWDYo5Y8fyU4xmjbSp7StfIZIfHRpSQUQcb8kr9RipCxsedxcdIikpZhXZgoSxmrY03EA+Fuv4fmt0o0RAPKZ9H5O4l7ULI+XPby10GS2bOF5MMaszUDDRdbFrkFbMGhi6RqsT4QRKN7Lejmh0IoZLFicn0tyc67Kw4XLhdouuGzOQM7EtHSkVBCub0nF9RcyxyxZBoAK/MAn8TE0lA46Mpjg6luLyTIdrc13GB+2+NN5oWZU4VYAraHajfoDaMz9QrFtNKKKVriXBf9Ekk9Kp1AOqLR949CFwu3WdkM1mgJ7IAB0aUlXISrPCu5fq/MZLpX5AqQTrVUXLTp5NE4JcRuMrZ/KqKlEwGCqalBIIhoxVxUAIhcUfLZuMDyroRBhJjoylKOVMZBIsieSdnjmWUzqKH1Q4NGxzajK9Awe7m8VSMcnX6wpykE90Ok8fztDsxmw2fF46nWdqNNXPyL18tsBy1Wd6yeW9y43kgGfte/yanZCOF5MyNTK23s/kIQQpW+OVpwqsVjwqzZA4lmSSLjk9kwJsQ+PERBozwVfemu/yZ2+u4/qS0ZLJ0RGbbEYnCtU4SraKY4IHs4RtRzUWsA1FutmvXmPvMoWMzi89VSAIY0o5Y9dY4lFSiTt2jUPDNroGR0ZSpCx9h1Oh9zISomT3ODpq87WzeaJYaZj5oWIHPX8qxZHhVPJ7hef5pXMldE3w9NEsE4M2ui4II8npqQxdT/LOF1VqnQhDF+STQKBnuZTKKFRbwQ6phv1aM0nvZ22llbe06fHG51WeOZ7llbOFvvzFXhYEMZ/dbrLZCJgYsvjGMyWGSyblnMFAUafSVBm+XkAZhjGX7rbxfIkXBKxWfN75okEUSdK2xqnJNCcPpfvja2iCbzxbVI7FFEwM2gwVe7IfSgR2uaIA2Kahce5w5rGyZNWWKvXYlsbksE3Libm92FHPHCgsyOHhFOWcQdrW8LyYVkd1cuid4jYbAd99d52BgsV/+qtDvHgqlyyYB5+r1Y1Y3HSxTMH4YIqhoslogm/quDU+uNrg9OEML5/RWav6LFd8Th/OMDVsU2sGTC87LG56hA8RdpVSte28eKeFQJXvbGsrKyNRju34RJrRssX4oM0n1xtMLzu8f6XBf/KrQzswdj1AsgRsXSOX1gkjSbUR7ovV3+yGfHC1yUrF5StnCjxzJItlqbHpOhEL6x6NTkg2rdPqRrx9scELJ/JMDlu88ZnSkyxmdb72VEEd5CQUcgbDRYW5nVlx+HtigCCMmF5yCWLJcNHETsq2pq5xejLDmcOZB55t+yYrhVpf4wM2abvL/JrHnSWHF07mH/p+GgJNbGE9e59dCIVPzKfVJrleD1R2I/PogPJHH1e5eKeNF8aqQiFUV5ZKI6CUNxgrm4wMWByfyCjGIuq+upa0/otVydvx476ig/IjkpvzDsWc/oAThi180OnJDNlUD8iuSvhhCKcm03hBzFsX61ye7vJHP17l218pc/pwmonBFMsVFfC++XmNK7MdJaM0kmK4ZCoyy0KXzWbAUNFUBIVQ0nUjrsx0ef9qA9eTTA5ZewaUUvRkmCS5lM7UaIrVmo+mAUJgaArzxLZD+PZ3O4j1N6xtPt/UNYZKJoubisQghIaWnMNjqbIbuYxB2wnZaDwZ8lLHUSVFKSWtTvhAKT1MoAmxVNWblKWpTd6NOTpqJzCPB8dDSKVhmrIE6w3Vn9vz4iQoU9nLYk7nqSMZljYVHlMIGCpZpG01xwxNYXaDCDqu0gGutdW+lLEUPEtoEMcK2zoxaHN1tsOt+S6FjM5aLaBcMBgoKK3lUk6Rn9YbPl03JGVtBTZh1BOLV5qrInFmQyWLbEpnueJTaRwcZtB2I9ZqHrahMrm6Jjh7OMM7X9RZ2vSpt4M+X6HZDdls+timOrD2TNc0vvmcgur0YgPJln/ZvtQ0TfDCyZzKrnUlh4dTFLM6caxKxbGEfFbnxZM5ljZVh5e/+WCTf/L3RxkdsB+awY9jRZxS1QqtjwFP24rJLGWWcsEgitQzaZoKgL9yOk+9pTR5zx3N8EvJwf9R1nVUhVZHxTaWqe3ocmRoGpNDFs8cz3L+eou2E1HMGmRt0feVvbfRNcHRMZtSbgDLENxeUNI9p6cyjA1Y/Vab+7FmN6TVjUjZujpg7g2Z3tU0TTBUNPjGM6W+T91uMnleI0nM+WG8gwkO9wWU//g3R1irBmRSWj/YeZgJoSaJBD661mR502dySJWLDEP0nVPvA/6DVwb7k47kXW1d4+zhNC2nwEdXm2RtI2lPtHXzYs7ANgVr1fBLYfmaXdXvtpQz+MazRS5Pt7g2p3QOC2mdE4fS/RLgbhbGkjsLDlFEv5wYx0okdyBnUW36LGx4PH8yj5SSrhdx7V6HSMJLJ7NICetVn2on5PBwijOHM5j6Vi9hIZSDeuWcKqX1xi2M1RgVskkGIrHHhfC1uiFuoLrBDBYssumIXFqn1goxdI2BvEk5r4gPxayOZWlsNHw6TkQxZyhpDSdiaTNgYUNlx/7ZP5zg2ePZZEHuHMd6O2R+1cM0NEbKJgKJlIKnjmS4s9Tl+r0On9xokU1pLFd8TEMwkNfJZ3TGBhRma37NfWg7PNePmV11WKl4FLIGhwYtLF08MIfjCLK2zrPHFFHlx5/V+Ox2i9/6armPv9sSbFYbkGaorEQY778TSK0V8oPzmyysq1PqyYkUVuKsplccVio+5ZzO1Eg66RXs8RdvrfHtl8q8+lGFOIavnC0wOmD2s6yFjM5QweKi22JuzSUIVeeX+XWPKJKMDpik7K1S7m5s5vtNoBzyxKDF1KjN0obL+WtNzkxmSNl7E9eCKCaIVPBtGDv7YgsEpZyOaQhqyeHlUbhBIQTX57vcXuwqiEvSV9u2NM5MZTk+nuLskQwjJZPt80sRR3TSlk6tGdDsKHzwbCI/ls/oNDsR1+91ee5Eph8E3z8Ghq5RzD64mYgkalVBpeTDqw0u3m1zc6HLN58r88vPFPjwWpOffFollpLhkommCdbqPvPrLnEEmbTKep47kuHs4QxRDBuNgPcv17m9oMTl9xrnXketpYqSuclldAbyJoN5k0JGp96N0HUVCB28QLUPkyQHQZvL050kmSDJpxUsZCvwlMl4PZlnWK74dFzVO7re2SnRAwpDuV7zkTE8fzLHqUMZViouV2Y6jA/ZjJRMZCwe3FCFIhppuqDZVhnBajtgsx6QtZWOqmVoHJ9Ik7nW6LdZzaa0JMueMOpNQRjFfZb98qbSiRwrK2Z5Dy4jBEwOKVmm2RVHVRIMjWKyHnbMxF3WqusrQo4mFPSrB/UoZHSyKeWz1+s+YRQ/MpPXs15GdqMecmLCVNmo5PaDBZPNRsjcqsezxyMGChphpJjmmo4quW+/1j4h0oYmOHUozYU7KlEykIxz73CucNCCoZLJrz5X5AfnK7xzqcGZwxm+/ZKRqBTssT9HktWqgp0NFUzV3UWqILWYBMBx9GCAe+5IhpvzDrfmu7x7qcHkcIqTh1J73qdny1XF8M4llZHdEgyaJnj5bIF7q6rqk88oHxXvcnWBkub6rZcHyKY05tY8Dg/b5NO7QDYeYg9gG7/EUjT0rdaa95uU6vtnUzqerypjw0Vz74Dy8IiNbWqEoTxAAkzw4sk8QSD5OGpy/FCqn1q+/xq7bW6xVAHjuSNZ2t0QU+tN7a0fDxZMsimDetuh3lb0+v1gH9U9VRmm0gwSoLZJOV9mpRZwa6HLH/xolW+/VObc0SzlnGIr2ubWh+kJmN9bcZBIRstmv/xZzqnAa2XOZzWRFQlDxaZdq/qkLDWpRssWjU7I/JqaWFPDqX454GHjIx7y3x7HFjY8Gu2IkbJFJpE9ODOV5aOrDUxdcGIihUjGtyc9oE7/IcWckhZZ3FCYSNMQLFd8/u33l/nnvzfB08d2BpVxLGl1QzYbAWMDFqMlsz/xM7bg2WNZ1e/1TouuG7JZDykluFND1xgoqEzmfELU2Y5V7VksVcup8zdaGLrG6cNp0nsEQ0IoeIBtahwesklZgnurLvcSCY4glqQtxWa739v3rqdY3g8//vUyz1EkuXi3TbMTkksrCMHdZYfVqs9Q2eZrTxfoOhFrH3l8crPFzIpD1405MZHm3JFMv+e0Kj1qlPIaGoJKQ5WssimNu0tdghAGCxb2fcHdfiyWgtEBiyNjaWaXXT6/3eK5E1leOVdAJcEefM9aK6LWDMhYBqWsuWM0BDA+mOL2gsPKpkfLiRh9yP2V4LqCEmia4Ctn80ngJVWgl9FVCWe3cZZqjlqGwA0U89LzYhY3PUxd8NyJLJ9cVwH41JhNLCVCaA8ElY8y29R57kSWUt7g0xst5tcdfvhxhVc/2kTXBGlbcPZIlhdO5slYqvPHatXH92MOjdicnlQwg95Y5lI6Nwsms4b7UL8vpdJFlLHsZ8aEIPleKdr3umRsnZGS+cSCuR33FyipmKT60lu7WTvp8JIcWrZnLrwg3vGuX8Y6ifC4QMFH3IAdCh9Sqv7SEkkxo1PK6YyU8pyaVFjplKnvsUIlg3kDWxdUmwGOH1FvKRZ9Jq0zUjYTNrjOifEUV+856JqCzBi6QMYK71fKGbSciMUNj8MjNtWki1s+Y6Bpal72snWjAxbHxtPcWeiy2QiwTZ2hhHgqUPNXFwLHjfHuOzQrdQNFAM1nlJRLr4ycy+ikLI16K6LWCvttTx9lnh/T7KrkQT6j97+VQHVbMpddVmtKp3igYCb+O8TSNQqZg5FXeiaEwDKVv693QrIpfdc9zTI0jo2leOlUjo+vt/je+xuMly1ePJPDNne/dxgpwlgYQblg9OfIjtjqvomgnkfjlafy1FoBn99u8czRLJNDFqlHEJy6roJa2BZYxoMH1N71symNr5zK4fqRgjxpIPYIwNWa0vi1F8pUWyHFjLYjk/mLYDI5XKZtDT+MaXYiRu6bcwdjtzzEnjuZZaCgmEzmAcCtQqgHHS+b/PqLZTabwa6OKJtS+I21ekC1Eewb7+AGMbWWrzIFtk4urWOZkm+9UOKNT6vMrDhMv+qQSysW1W9+tcwLJ/N9sLQfxsyveTh+TC6tK+2o5JCWz+jkMybNToulJMByfCVXEks4OZZKZD6UQzp3JEuPgv934Pv3bY4XE8QSy9TQNXXaPTKa4pMbTWxb49RkFiMJKEfKqhS6VvOpd0ImhhTTeXbVxTI1Dg8rjbqVqs+/+VsVVD53ItcHU7e9iOVNn0iqdnA7QdYK53JjXmUpGzcjIik5PGwzOZICVOCnskwhlVbI5LDccQ0pJc12yOe323xyvYltCY6Npx/K4O+VSrMZJUZ7Y97hnYt16p0AP5AUMkofbuseCjNkmxqxlCxXPEw9hWVqavPYrYwqSUR2BV035tJ0l3LeJGXrLCVZy6nRFKMlEz9r8NzJHOevNVmrhRSyOr/yXJF8eqsHce+aaUunnFdEgcV1j+PjKZY2FRlgsGBi7qNk88B4CEUyOHUozVrV4/q9Lj/4uMKZw4olv9v7haHql5621Oa246sKqTYmQ2NuXZHMHmZSwr0Vl64XMVTQOTRocWjIIoof7VB7umuaUJu3jCUtR2UoU6bgzGSWu4tOXzOz2QkfWULbywxNiQyPD1hMLzm8d6VBsxMyXDT52rkCJyeURIoABvKGghvInbChg1osVZ9jL1CSUGlbSRsNFg3OHckQhjAxtH/s10FNAKaudOl0TRDFMulStG19APmMyu61nZiFdU/Jnz2GrVR8ul7Y/7bVplI3ODSUQko192ZXHSQwUrb6mOD0tvm/25ALISgXlMj76oZHu6sC141GQNrWKefVWJqG4PRUlttLDsXMVpCC2NKilTJWsIikh3KPIKlvg68JAaYBYwMmh4Ys5tc9DF3hBXtzsFQwsEyVtW51I8YHtp43iqDtxEk7Yn1r3iYJjXxGVY8WNzxKOWNfCigdJ6LeDlUJO719vJQPsUyxQ9kjCGNcP8I0dDIpY9dD/X5ME4KTh9RBsafduJtZhiIOLm/4zK65fO+DTYbKJicPPQjfgURFpBkqrHzWxNgnfFAAx8ZTnJxI8dmtNudvNDh+SEmMPez9emMzULB2QAAevL7gzFSGRjeikN49gL7fLEMwdp/cVc+k3D+D++/Cdgboux8Yn4iompQKYHpsTG2QB42rZRJh5ROm14N/oNoAlfM6F283OX+juW8twHZXsTttS1BO0uamLjg9mea/+vYYX3+6wEhJgbk/vNbgJ5/VWNzYEo72AtWeUEolR7AdX2XogmJOJ5fRqbUVE7ntRnx2U4mOHxlXnSYg2fQ0xcB+ktnGg1gPULteD2g7Sk+0lFVyI0MFg1OTaUpZg6Hils5fT6ZisxHSTE7h9VbEvRWXtC148VSef/j1ISaGbJarPv/hx2vMrGyJxzfbIev1ANsUDOaMByaipQuePZZjdMDC8WOiSFLO64wU1ULVNSUpIRAsb3g7ZGjiWGmTvnmhzh//ZA0h4NxUhuOJDMbDTWGSnjmWQwCf3GrS6kZKIqG/YWz9takLBgs6jif5zjsbvPVFndlVh7YT7ToXvSBmpeb3ma+XZtp03YhKQ+mWgmSwYJBN65SyOs8eVYQh2xB89UyB4ZLZzwBt+4Jk00qwuePF3J7vst4IqTRDdE0wkGRevsz8kihHdu5oloytMb3k8vqnlT3bgvbB2bs6FsFgv8NVhOs//IF6ZV0pJZroqRSIvozTozavQkYnn9ZpdlXmfLMV4CXkhmJO5+h4CktXnXuaHUW6yqX3D1rvv1XybGlL46kjWf7b3xzl935liP/yN0Z4airbZ0f31rquKTxpT1P3y2XsJNVmQBSp8n8Pw2zpGk8dyfGf/drwDsmpvxsTfXkpTQgGcool3Zfx3DYPevPicZtHrFR9Om6iCWuIPtMYVABRaSoscyaloSfjq7aRR4+zbahsqh/EdFzVl7jSCLEMofQ62To8lHMmQyU1l5NqPylLETG8QPkfz4+ZSYTLBwqW8j3bX1+KpJFABol6n/Ehuy/H0nvmB/pLS+h6MffWFGF1sGiy/Zw8XFL92S9Nd/jTN9e4em9/vbA3GgGLGx4ZWzCyTT9ZCEW+MnSRKHsof9/1JM1ujKGLB8iFB7V8RmV3rYf4KSEgn9b45gslMrbGhTttKo29D6VRDJWGIuQM5lWr5v2s7d56fva42n+uzHa5cLtN5xHKFPV2hOfHiYxUT25id7NNlaUc7mN6H/482/93PxyiBwsgCSx/XnHEw+yJBJRCbIHxtQc2wf39vucMes5hu0ng2eNZjo2mWK8HfHC1wfXZzr6c1kY9YLnikbY1SkUzKR+qoHKkaPCNp4v8N98e5XdeGWC4aDK94jC7LSBy3IjL0y0kcGw8TcrqBYjquVQAZtLsBtxZcNioBcytqfL3sVG7n6G8/33/ruxRztwLJGEoMUTSWinpdpFP6zx9JMvUqL3jG+QTQpTjRXhJ28FaJ+DemkvK1JgcSTFUNPjdXxqklDO4veAwv+b2Qcr1dsh6XY3/2JB1XyZLpW5OTaaU3pYOhZzO2KASd++V0gaKinG2uOHhJpuKlJLFDZc/fXOdP3t7jTiWPH8ix7eeL+1oybf3OKlNY7RsMVAw6DgxMysuXT/e+j69fybPkbZ0gkjy6c0Wf/jaCv/DH8zy+38wy425B1s6RrHEcdW1ohg+vdlkM2kpudEIGClZDBfN3kAwWDL41vNljoymeOF4llQivL/jNaSgkNYZKdl03ZgbC10W1lziWAWnlimSjf2hr77neIDgyLDNy2cKVFshb1yoc3vB2bVtqh+qVoC6xgPSHr0NwdAFzXbY/2Z73hvBvTUXx4sZTMgG+35u1P0NQxDGUmEXVxTTemzAwtQFk8MpLFNlkmIpsZJg78v6YyFUgJVL65xK8NfGQ3CQj2NSKkJOEElF3rB64sjqGVKmlmAZ/y6dispSTgzZOwLk7WZoyqfGUrUxfNznUb22YwoZjVxKo9mJ2Gwo4kwQSipN9e/FtL6lSbqP6/Y266GiQcbSWKkojFvbCUnbGuWc3g/yDF1hZ0eKdn++SFRgn0kpsmK9FRCzrTViog27XfJTSiikdQ6P2JSyGoYmGC5sZShzyfzZrO8knUoU3KqnhdvTne1d88iYzVfO5BgfsLgy0+H/fnWFNz6v9gPTvfaBRjtkoxZgmRr59HZBfBgftFQlMMEJSqkIZK2OCrjLuS9X8u6Nfe/A+IBvu//vNMUMN3RBGMZ7ylFJqfaz6RWXWCYZVuPBFqMPs7EBi7NTabIpjfPXm3x6s/nQPbTWCnC9mHxaT3zV7jfrQ7sSFv9eOrB72Q7Xj9LKtS2Fz3Xd3mz8xbInVvLebl/GlzwcRwQZW+OFU3nq7Ygv7rYp5wwODdt9jN1eVm0FbNSU8OvANiq8QDHxUpZO2oazUxluLzp8cafNjfkuv/pckbSt4wdKxT6O4dCgnXSHSN5RSkp5k+GSyeyyw7W5Dm0nRZyUbR/3NHcQS1tKqqXZjfp4nvtNSslaVWERC1lFfuphoNK2zunJNGOOvaMLSbmgGIh31xyqzZAohtWKygDl0jbFjMoQDBYMpkZt6u2IKzMdnjqSZnJYiUkvrnukLY3BgvVAuUSigMBPHc2yvOkRSXXyhgQrZCi9s4uaEs/tdfepNgN+9HGVH56vYujwwskc33im+Ei5m56JpO6dsgVPH81RbdRxg0ixDdM72X4Shc353a8PspH0UV7Z8Fjc9NhsdKjv0hJUSpVxMHUV2KzVfG7Od5lecqg2A46OpykXTJCKoGQbGqenMhweTZHP7MFGlopROzpg9rMi44M2cQxjg9YuuM/9Ww96kknpnDqcZmHD496qy99+uMnxiRTGfeNa7wTUWiHHxtM7urSoawnFQAall/aIh5KQZEJVRvogBY7e5t/791ZXKSIYugoadF1wdDSRTpLRtgxAgnN7jOXZO5h+WdtPJk9K1RQgDGPyaSPBkf1s8TJSgGmqbP5wySKdUnqEW08uSad08gm+erXm88wBZWzut/k1l1Y34shYjq6rMIJrVbXOvCBmZtkFqSTlvkTjNFKWjmlo/YNMLqUzkDd2VCZ0TZEw206IlUzx7T2NJYoDEIaqS4uUktEBW2ESt92rB8sYLJicPZJlteonhDf13/NpRWDretGOCozjqnaQhq5kqHqBGPQOxEoeLGPrnL/e5M5il++8E1Nrhfyjrw/uqRHccSManQA7gYD1fLIQAkNTSZIlXWNpw6PVjfBDSSQVnvXLJIy+jG1PLj0s6xzFqlWv7yuMcdrWDtRhB9Q7PX0sx+Kmz/XZDp/caPP00Swj5d21PddqPm1XtV3skQcftiSfSAwgwTQF5ZwSgl+uuARProfAAZ7j4T7rZ99H7EtYb/OfGrF57mSOQlbnwp0Wb3xefeRv292YRlep/Of3CDbiWDH/Do/Y5DM6i+suc+seXhAxv+7hh6rvai7BsPRhLFKxs4YKFo1OxOXpNtfmOhia4Ph4WoG4n9ww7Gm9QCBlq0xiL+i634QQVJphP11vGIq1KAT9hvHbWVsiKe/1hHvbTsjypgqkbEtjtGxsLXoEx8YUGeaLuy2WN1WJotGOWKkEpC29z1je8UzJ8x8esjk2kWZy0GI86ewCoAvBcMlCCNUXvqeH+eaFGm9cqKFp8OLJHF9/unjgDiQAZsI+tO2e01KZAHMbuUVKJZ0yWrI4PZnml88V+O1XBihklE7obiVvlcFWJ+1jY0pA/62LNS7cadH1YiYGt7qX9DL8KVPrb2q7mRSg6SqjUc7p1DsR71+uE8aJ8L35eM6+9xxDRZMXTmbRNLg62+HmfBfvvj7zYSgVy1tT2cHdzNBVCTh4CDtfvZgSqXb8WBHw7IOVo3vac6WswUpVAexNUzA2YKOhSpTjg3aiI7jtwj/buGyHSRSm2LY0au2ARnf3NRtLtWaDSImXby81/6xMkGTzB0yePpbhxER6Z+VFCnQhMHT6ciJf1npNJBxfEsaSck6pPXhBRNdXO2gUqVIzAgo5U2EWDzgmxZyObQtuzKnucLmMRjn/YKvG4aLJ4eHe3FFrMJ/RKeVNWk7EXNIbOggl6aS93v343J6PK2YU7rWc3QoOFcyj9+47n7HrRSxXlGZlMddvTaSumRwA06bOsfEU33qhxAuncixv+rz9RZ3FBFe9mzW7iuGdsRQJ6X5/M1BQB+p6O2Jp06PeDsnYCrv9i2ZhFFNtKmmnnrLEQeM3KaGUVQmVcsHg2lyHz2619/z7thMl+HFFinqcQ+m+n1H0DrBqjfiBfLJM3f08A6orVi5j0HEjlrZBA3u2Y4YYpoVpJBvXz9HZ7mYSMC14+rhJrQMfXa3x7qUGxycyfPXM3pp5LVdSaYSMD6YYH85i7KE5KQQcGcsxMeJxb83l8nSHIyMZppdd1RVgJEM6Ze8gPajyh2Cw5JOy9f7JRdc1Tk0VSKdt9qnk8FgmAdtWumAKa7EHI4YR+ZoAACAASURBVFYImk6MF8YUMyb5jI1hmDtkD+7P9woBpaxF2tZwfLi35rG47pFN6/8ve28WI0mS3vn9zMyvuCPyrMw6u7u6p2em5+4ZcjjL4XJ4SNOURA5XlASQgChQK61AQgD5wFc+CuA+CRCgJSDsQuACWixErMgVRIqEuMPlErskh+dw7p6e7qrurjuvuN3dzPRgEZEZeVXeER7hv5euyqzOdPcwN/vss+/7/7m5WkH5AVKA8uCVW4q/+HaHtx90eLCRsNk2Th9MCBrVgHIxPPQdcJ+t4OMv19EaKuVg1OFmgXpVUYx8NpsxnZ7lj7+6zb/5qy26fXj9Aw0+97EaCxUfc4YXTPnOU/fWtTLfeqdJ2rd4fkDgB6SHTMgFH4oFwYK1+P6zwZHrwSy573tgLYEn+PCLNb72Tpe3Hjgnh1o5YKVRpFQISYw9VVwjBVTKlvXlAt94p8WT7YQoUKwvFSkUItckdOqnsIsFigHcXJW8sNbh7Qdd3noY85GXxt1hlOcyZUIqfM9HyPFnZaxrGgh8yVbb0E8hPGI98j1Jp+d0TgtRQKEQ4p1QkBvcpiMKnOvGRjOh04P1pYg76xWC0Ml63F4rO6WAXoqUEs/38XxvYodGLqAM8H1Jp29IzeETRRBIHmwkxKlhqR5RKRVQZz91PBc+jJWBDJECgtDgex7Wphh79pMZIQQbgwCtXvK5vlxCPO2x2WzxdNsF3UJ6PBn4UK80CkRhhPJPJ5rUqBaIghbPBrqZK/UiS40inuePjYnRPQ/rRYFICQqhP9CIdILoCEG9FBAEAeqQbuTh+nXrmkcYhAShmzctsLLoEwVb3H/SpRPv+X+Ea3JSUlCrFAiD4MDmzQKRDy9cD0m05K0HLquYaHmojFBqYLPlut3qFZ9yMRyb/62F5cUiUdhhYydhq6XRA8ekYhTg+f7VxTHSpf6stSjv8MnDorj3JMECqwsRURjgead/r4WAD96p8d4zzVe+ucVffLvJZ19r0CiPP8OdLvRTJ9NVLfmEweHrxGVgsCjVH5UEBMF4M57vDU9gBVJ57rO6wN8vBRQLAcXIo9VJ6SUHM8fi/fffH/3O/+kf/890utotzFd0VHtaBJaHm5a3W+sUVz7Gi0tdXvb/FCEOeXRekW9u3eGrD2qs+Pd4pfJdzDFJ2W4v5X73JpvyVV5abPGhpcd8Y+sO958Y6vpr3KxsouS4HpLE8qRb4X73BVJ/FZPGePFDPrL4Jr7SV/McraVnirwb36VjF7hbvc/L1fsHfrcF7nXv8u3NFbz4IdfDtykHHeyxiWrL/fZNHqe3eWGxRyWyvLW1SNx5xk31N9SL6djv+daza2yKF/nILcl6eZPvPon43rMCy+p73Km8y3HhzlCIeLxu0KKt4hvbr9BTq3z2FcWTpuKtRxaz/TVuFt5hfTFAn/XNsRZjBfc2Ah4mL5Bq+ODiuywXWphjr1Xw9c5naOkq37/6NdYLj3Fq6O5nbsR1/vjBx/BFjw8X/4yvPbtO7N9AeBFh/DY3C+/QKPSe8+wPIrB0Yo8HnWU2vdcwxkDa4sOVv6bo9Xav4RwILLEJeRjf5ple5075fV6uv0cgB2csXpGvbb7INx8WWfHe4W71nYPvlbXc732QJ+k17lQecLf+HgUVH/xlgLGSv25+hvd3Qlb0X7MaPnIL5wnfHYHhSe8a78UvkIgKxiQUzBNea3x9kB2yPGv5vKs/RpcF1sLvsR7cI5D9yc1z1vI0WeP9+AWqYcwH6vdYirbY/34Yq/jyg0+xHRd4Jfxz6v7GhXzGF4nA0op9HvRu0gte4G7jKS8Wv3mmjY21sKVX+KvHd+j3utyOvkXTLHO//wq3q4/4zMo3aKUF/mLjkzQ7KbfVX1ILW85Z7aSfpbVs9Uq8l36QDq6luiIecd37NpWw+9yfI9E87K7zVvcVFquSu8td/upegVJ6nxdr7+CL9MifMQzGBLvXK7B8q/MpNuIlPrH8HV6s3AcEbRp8p/kK723Aivga10pbSA4XiBYYWrrB271XsdLnU4vfYiHaGTjOjX47sajxra3bvPWswIp3n1ult9k75qy1POuWeC/9EPVKgVv1bTY6IW8/8VhR3+Nm5QHHzeEXhrUYJH/X/BQ9W+cH1r/JavT4wD/rm5DvNO/yzlaVunibG9F7eDI503stMNzbrHC/d4dr167xyesblOOvjT4zC7R1ha88eoVWD24Xvs1S8BjDFezwrMXgsZEscz9+lYWwyaeWv0Wodm11n/QafGvzFs3YY91/i6Xg0YXOb26M1Xiv/yKJqPCB2j1uVR4C8Iu/+EvAvgxltaConVFn6iq5vuKz3qvyJ/ddLU2xHB8SUFpafXgQx1QKiuv1iLVyyHEvg8Cjlpb4xpbH/cd9Ht3foul3KZUiPvtqDdnvgt1/NGWp2wKqHfHtJ+7o+bUXKqypEMnF2ZA9j3bi83RT0ew48e33kx52f6bSWt7t9Olqw92FgNvViFBonjdB2GJAd0tx/3EPbErs17lV93ltuYxNu7v/Dli53uDP3vX56ls7vKN2wBcsVMp8YKnIkjyd3+wQYxX9UsSbG5I//tstjCjw6osNPvjBRYLexrn9gy2C2zdqyOoyQkjS7S1sP+a452Ks4Ns9ARo2dlJEtz+aWKzWbCZ9hHCCyOtLIdXVKl+5r9jpWz55p8StYhmbPKf45qjrlQH1uMi/u++ci64vRtyuRAQXOM/HNiRu+zx95kTaH+g+nnABZU9LnsQxxajCtWrAWjU8dPPy9JlEtp1MySMT44tDAjhrsSgetxNiHXJ7PWQ1OqXkjLWEaURnx+fhtpMHe3GhwHoUjE5abq0VqMclepRYViXqRMizn8xeCKbl8WRL0kucPVzc7o9tMIyxNLuCnjFUCpL1hYiGd/BZTwM9E5Bs+Xx3x+kmRp0zBOvWyWw97nXppYalmseteshmErC1pWi2U77zbhctFRvtBN+XvHyjSEjCaesAbgQl2g8U7R23oVxa8Hl1uQjJCQaFNYiez8aWT7Md87c7LWRYZG0p5HotxD/ihOg47hmB1K7h471+3wm6x33ut/uEUcQra0WqqsORRVTWshl7vBcLuhqe7iR02/FYACowbPe7PIr7VIoVbjUirofjc7IF1lWJ9gOPB89ies0OwleUopDrjZDrxbPN4WfBWMlTL+C9puCdR316YW/fRtPS1/Co1Ud48OJaxIoXos684bJcv15ltVXlL78X80dPt7hb7jr/8kF5wqOWomM0K42IW7WQmgivbIOXWgltj/vPBioiG7tzqsDwpNtnp2eoVhW3l0LqZ1xvj8ay0Q/Y2JZ0u5bNVoIfx2O1umMB5S/+0i9d8AVcHn/yd03+7f/2JvXlJX7qS//owNGyEPDW+13+4M+f0e0n/NgPfz9f/MwXn/tzv/egz2/+/vv8WQ/KyzfpbfdZWwr573/+Sxyhq0ovgd/5kyd84/96l0o95GfeeJ2P3/2hC7jLk/Nk2/BPfuddNr++zYc/9lm+8MmfOJC1Mxb+5f/3gKdvNfnc93+Mf/BDP0pwgrnvr97s8E//n/e4Z0OUknjG8PpHX+Af/WefO/BvEw1b//x7bLR9SrU14lSzvhTys196jZfWzz7A/98/3+Cf/u4DOnGD1ZrHG9+3wI9/5hVC78fP/DOP5vUT/at7/+RN/urNFh/59I/y+qu1UfCSpPDVt5rc++OH3Fqr8z/8w3/Is52Ee//sLXqP+7zxI5/iBz/yhXNd4Tfudfmz//U7WAOf/NAa/80brxMd3592Kvoa/uDPN/jev36Ptesf5Y2/92POGx14tpPwu3/6hHuPuvzA5z7Hz/zQTx76M/6Xf/UeD7+ywcsf+AQ/+PEvOC22ff/GWNdI873fuY/ppHzpp/4TPv7S4Xpzx/H1d7r85u8/4L2NbarliB///Ef44mfG38Gvvd2m1Ul5Yf0WK/UfOfXvuGi+/Dc7PP79B3iqwQ9+6mPOjnXPA0o1fPf9Lg+//D61suS/+i//c15auzzNyfPQS+C3/ugJb/3++9y480G+9MNfOFPcqw38m798xtOvbfKRVxv8/H/8Wb72Tov3/vW7hNU7/OBnP0O3r/nO77/HSsPnv/uFn6N0RsnLjX9+j/t/sYFSgs984gP8whsnn7P//Ftt7v+re3QTSVS+iTWGH//C9/HF7/8iR5QUH0vr/7jPo7/c4OXXfoC///H/lCCAr3+vzVt/+ICFhs9/+1//DMu14wOXN9/rc/9fvMOzZszf++Gf5M614ti6KAX83Vtt/uArTykXFV964wO8/spPHPqznvyzt3nQ3Ka2ukyqDaVQ8tM/8WE+/cr5mq1Oyz/+F/d4+LdbfPgTX+AzH6pT2dMMJgQ83oz5zd97Hxun/Bc/+QU+8kLh3L/z3/7tNu/tvIuxr/LRz/wgH32xNFLr+A9f3+KP/voZd29X+Nn/6KPcWrm69zE18O/+doev/ct3WF66zhs/+unRnKoE/Iev7/DsK0+4eb3Az/3UJy7l2t58P+Z//7336N5r84lP/n0++6E6K3ucdaavyvaEpDodaDJZ0iTG7iv6FMKysd1lu91npRGyUjvZrvFaw+OVm0X+5O92eLTZpRQpXr5RIE01/hHFS5Hv/j9XsKq4uexjjD11t9l5iJMYO/DBMkaTpMkBWyxjLZutmDgx1EvyRMEkwLWGpFqStDopSMHt1Yjbq4cHh76CF9cKfP2dDg83emhtefVmkcXq2Xdxqba8cM1pCUYe/Mgn63z61cqRNXlXgdaW1UZAIVBsbPfYaQajpq9eP6XV6SOFk5bRqWa14fHiWjTQnTz/jrZeFnzhkw1a7ZQPvVB03mIXePRi0pRiAGBptRP6/ZiC8rAC+v0Erc2gXvPwjM7eDmZrNGkSkx5S25Rqw8NnPVKtWap7qKOsJJ6DwOAPmtwLgeT6YoCxBrkne/DhO1e7GD6PNE3dM7KgdUKSeGP1abE27LS6GGtplH3EFZ54nBZPGMoFQZy6E5Ikic8kHp9oy+ONHnFiWKhKPKmJPEul6NHsaJ5sdej1DUq5ZjdtUs66jJVCZ6FYKykap3wnJZpCKEm0YbttqJc9bi37mNSAf/r3u1aSFEJJs9On2ekSpILHmz20NixVPeonGLpxkozWAJ2mB9ZFKeHZtrN/XF/yWT5mTl6sepQiyaMNJwH32gsl6qWrzYwnqcEad4pjtEYnManauym1dDoxz5ruFHKpKg+oiJyFu+sR3//hGr/7pxv89bc2eWFVOcF8C612nzS1lCJ55rnqrCSxJk3dKZEdxD3DOdVIiOOYJHUi+AdPUi8GrVPANQSlaUqSJqQJgAvkMxtQPg8hBNstTatjePWWx/ryybJjhUhx51rE9eWAe4/6BIHg5RvF51o9Nsoed69H3FyJqJX9Kw0mT4Jzl3C+s74nRk5AJ6Fa8p2VmQVhLLWix+1rR6cFPn63zF98u8XTzQTPk9TLHvXy2dNnSjpZnGKouHk35Ec+ucC1has7ejmK3Z3yeHHyUTIXn361QqvnXGTOy9pCxK/8zM1z/5yjEGLQ6W7Frg7l4LSp09d0+8YVpp+hs34/SeqEhcqRN3I8OS21suu81dZSihS3r0Vcirf1FWKM5elOgjZwazWkGE5X7eRePE9SLkhSbejG+hzNAHZgcODku3zl/NhrJcXT7diJvBs3JyzUfNQ5gofVBZ+Fis9C1WfpCHeSo6iVfa4thnz73R5CuOTBQs0/1qHrOJRk5PZkLLQ7hsebfUqhO9Y/SZCkpMD35aAL2Ixq0mF3rurGhk7sfKiPs2q8thBQKUoebSZYM1gzLrKm5pxY67R+d7oaKdwYCS9Ipm9tMeT1Vyr88d9u8WCzzzuPerywFpGmlqfbCUnqgvzyEbJMk+Ls5gknJ/QF5cgj1dDtHQyop3eGeh7P0bezFprdlE7PLXy1E+oTAtxYDvnoi2WssUSe4pXrhecGlOWix8fvlvnMq5XDG4QmjLXwaMNlJ68vh1ROEQgUQyfkO5TVaVQ9bq0cHdC9eqvIjeUQsCxVvcGfz0chkLx8o8DP/tg17hwTzE4rAvj43Qofe6l4IUHYZRP6kvVF95w3WsmYuHl3oJdXCFwQcR4M8HgzIdWwsuDUBM5C5EvqFcVKzWd9MTiz5/A0YQ20O85SrhQp/CnbpB7GSDfwxP/Hrgi3tRZjLFvNhFRbbiyFFCJFteSxUA1o9wwPn/bZaSdO+7bmn0uN5MW1Ap95tcKnXilxffF0c4pgVwlFIAi9oVbk2a6lUfEpBJJmV9PpaVrdlIebMaVI8dL1wonWlEIoWV0ISDU83krGzg6EdXV3ra5Ga7fpOu5du7boUyl4uzrFgTpXUuCiEcJls3faKUoJbiyFJ3BHOzm3r4X8vY/U6ceWr7/d5rvv9fjKt1o82XImA8VIncjm8iJx78iV/soDVIuKxaoiTi1b7YNCmCda2eI4pt938gpKKQqFwpUJdh+JcNpnrkvXIu2ugKi10I017Z5BKqiXPQrRyT/89cWQD98u8X//+w2KkeTF9Wgk1HwU1aLioy+Vub0aTubZ7BMc3bs7HXybfuyelSfFqTKoQgiWqj7VktNdXK37x7qZeANry79aCKlXzh9QOpFb+NkfX3VWkdOwrtpDhKn39djY0WLp7qFR8aiXp+T6T0AUikFme2Cph0VYMbqv50UN+5/PYQLAw0yDta6B6awZnkbF543vW+TjdyssVw9q600j1u57T+3B7++0NRbL2lJIFGY3SB4KhwzfB20t2oDWBm0YWWG2ugZtnaajGrgPRZ4kCoSzWu2k2LZAKbfxl+cQln/9A1U+/nLFGSicMhgpRJJaycdaS+C7xjvJ2UWsayWPIJAkiSXVhmZX83Q74fpSxN31k623SjJycjuAcGOp1dUsVT3WF4Njf+bt1cjpTlpgoEd8Ggery0YAvdjyYNN5o99YuTiJPiHg2kLIZz9U5Y/+epO/e7vDN97pjmKAyJdcO8fm9+zXJQb6xnuCy7P1dZ7nIo4dN88NKNM05Q//8A/5rd/6LaSU3Llzh1/5lV8hCI4fkJdNMVIsN3y0cZNQvbQ72IWAds/Qj50v9NIxYtGHIaVgbTHg9Q+UWV8MD7WD3E+5qHjlZpFypCZz0DYUyh0s9vu9qAGeNhOS1Lpj+VNmyWpl5zvtKcHNlejY5yGE4KXrBdYWna7pyimPkw7/mbA6EDifimBB7GZjdn2t3beGgYJg3GLsOLuxaWN4b1IItLX0k0FgLJ2ouda77hpHIceeD6PJcC/WwsONGG1gbSE487GuEIKVesBidfrKTY5iOJbHxs/Y/sQO7O9goTKw1swoQgxFz53zz71HPd5+2OfpTsxyLeAffH4JcKLbxo6PhUbVZ20hoNe3bDQ1xdAJ5i9Wz5ehVEqceQNTCATVors+JZ13/XnmJTkcC1j6sWG7pen1DY2K5PrA9/u5HPM+CmC745Is5aKiVj5+/r/WCHd9zT1BGFz+ceqpEK62vtVxNYMuW31x1yeF865/7YUSf/Nmm0bV4+XrBW6uRLy0HvHhF0pX/jyEdFlorLO+dV+80kt4Ls+NKn77t3+bnZ0dfu3Xfg2Ahw8f8uu//uv86q/+KmE4uTq2QAmKkRNEbnVSasXx+oknWzE7nYSFcsBC/fQBzXLd53Ov1Q71rT30ejyJr5jYYrZU9akWPfc8ugcLci2umzbV7vgsOOUj+fCdEp2eAWF55ebzu3DvXi/w0vUCzY5m+UICyukKxizOvk1J142rzSAWsLt2bEK4o6LTSppMC76CF9Yivvt+j41mzGLNI5KCnY6m3TXcveGxvnR0HdbNVec89bSZ0uykh29iLBjtAqpC6DYsZ0WeMvM+acJA4g2O7lxJwXi6wVgGHtGWhYp/rmdzFexmXA/n6/ecA8nT7RitLXHqGi/i1PDNdzvcXS/ybCdBa+sCykFGTEpBGEh8X9CPDXFiWKx6XF8KJvZMhuLSWEvgw/pycC71mJsrEdWix/tPu9x/4gwyKgXF7dXCmYPe8QuGfqyJU0M58p5bEhL4gnrZJ/QFpYJk6TkWx5fB8FTkqFOOJDW02glKCa4vBhcq+C+EM7z4hTfWiAdNONHAXS70JP4Za73PwzATboGNZjpWhjQtPDeg3NrawlrLjRs3AOj3+zx8+NAJKk8QgcueWGsHR2Z7myJgq5nS7mmuL4csVU/fPr9Q9fm+VytstvSgfuX4ATTpgCfwJWEg6KeGOB12uu3th7O02hptLMt1j+IpW6RvrUYsDZpJiic4+gh9yUvrhdEENmu4YxHnzrLVSun0NfXBrr+fGDZaCYHnapFEhoKcvUjhFhYh7B7FAJed1NailDy2jij0na9uqo2zgduXgQO3aGy13OTouuZnb6wcxWo9oFjweO9Jl05Xj6VwU21HLiXL9YBo2jJEhxD4gkrRQ2tLu+saP3ZtXJ3Ey4OnfayFV28XeWE94sHTmD/9xg5f+UaTG4sR2203FkoFhb9nKFQKisWqx9PtxNmgLoSE3sU0YZyFckGxthhgESglWaoG58qW+t7QuhI2dhJ2Oppq2ePFtfPL4Ayxg+5cKcVzewKEEKPOcwHPLfm6DIQQrCwEzgayk9KLnef6aAoZrP1CCLxLGAuhLwencdNxKiYHjZKAc+c55FTj0tlf5rWP587e+x+ktRal1FQ8YNhTBL7vcnqxIU6gWvSol0+/dfE9yVI9oFI0U3Ovx+GOJ93nc7gFoaXZcwXZCzXXMX0aQl8SnlIO4/UPlLGW505eWUTgnokaBEwjcXXhagKT1CIGmZUsjJ/DEIjBMaug03f3KIRk6N3+vMll9HOeczTeid3PrhbVxWRjMkLgudrgNHUBpECMGg0tlm5PI3D12Vdh4XpeCoFioeyRakuzoylF42M/TZ0/98fvlvnSDy5zcznkO+92ePO9Lo83Y779bofHm6784cZyOFazVy17rDQCHm+lzn60IDmdaenF4im3gU8HpR+N6unKqvbje27+NhY2mglbrZTrSxEvrl9cA6IYyjSckNWFkOtLIVEgub169Y2QQghqRQ9PCbo9Z8c5FkCN5pXLiagmnSQ6jtN+lhdFFCiKBY9+YtjpHDwJndl0gDFusfOkOPOxiJSCwhQVIp+EoxdvQaujSbSlUVJXUo+1cIbMcBY5XDZoghd0QSglWG0ESNFhu52Mgp5OX9NLDMVIUSudfQoxxrLTccFko6qIQjkTz+20HJYB0dryeDt23sp1/1Bf5mlDKSdbE/c0iTZjp0awWy+6UPW5sxqyWAvwFHzhE3X+zz96yp9/Ywcz2KQsVHxCb3fujXxJqaBGTTDXV0KknGwpyVI14PMfq1ErueP382TxFiqu0bHdM6Q6pZ+4voAbS6coKztug7e3NvfIpMM4H32xRKPiESjJrWtXX97mMqNiZJ86ds1j93NIg+ScMd4cennd4GHgZABTben0D55Sz2xAKcRkIvhpxFhLq2voDaReigWVqVqznMkgBBQH6ghpakf1S92+oZdoSpE6V+entpZWJ8UCjfLZNfxmEW0srW4KwpXfTKJm66zsb0Yb+96gWXBY/1Ur+fzAazX+/dd3uP+oj++7rN9C1cPfcyJSLSqWa4Ouak9yYym60CaMs3BzJeTnfuwaSsJyLTjX9RQihecJ4sRtsIqRYm0xPFVCQylJIXR6wb3EjAcVwtXjdvua9cXgRBJAqwshq1Og9wuHJEoGiUl35G3xJ1j+MA0I4UwFEm3xlby0DnQlBYEnRhJf+5n+be8R7C/W3ffN3T8+R69yHjDGst1OwbqJ+qzi0TnjHCobNEMoKagWncxRt+/kXYQAbd2YUvJ8tUXGWprdFGuhUfGOtDadR/bqOXpqdjfHSgmuL4f8yCcbBL4kGTRA7A+iK0XFYsXHDEpoGuXzHTFfBOWCx6u3irx8o0jgnz+gCTzX9GFxm4jba6c7Zg59yWLVRxtLs52OzU1CQKfrDAnKBTWq984sgy7vZteghGCplh11h8tACEE3dp9voaColS63ieqok9DnBpTGmLGBKaXctQybIE6bcLjb3RcyCldDmaSGQqSITuoxOKMIBDp1R1DFSOFn4Phs2rHWZQSkcPp45rCmk8ExzaTflbMipWClESClYLuVYoxFp3ZkK3re9dwa2G5rsLBUCwiuWCg45+oYfy3G34lSpPiB16q8sBbhKcFyzT9Qdx34ikbVp1xwkjcrjYBpNJA4D/WSohhKjLEsVDxunbJu0ffc/G6toNc37D/3HNU+k/29rwAS7RRNhrJNs1irfxqGigmBJwmDycylz92mrK+v8/jxY7761a8CsLm5ySuvvIKcRNvXHoYdhZuDDtu9744QsNV2Xd4LlfPZ/s0MM1LXNy0IAdWSO6bqxnsKxnH1b3HimnJK0fQ0sJ0WIcBXYtRNaS20eilxaimG6rmNXXZoszH6wvgfrbV0ei5DWSvJqZfFyTk7Akabq/3yTkoKVmo+P/Z6g/d/r0et4o11eANEgeTVWwV+/NMLrNSdLuWkj7wvmmIoCXywVrBQ9U9XP7mHUU3ujD2f/VyF1WCWuKrncZw82HMDyjfeeIMvf/nL/MZv/AZKKW7fvs0v//IvT/yDLIaS5brPd993Zvf7by8fbIcz78XLF4UQTvYl9CUbOzHd2HXkuhpDzdPNmNCT3Fl9vm3ntCLFbpd6khqMtfRi6MfmRP7sQ0MAre1ANsjCoFFD4PQ7N5sag+XaQkhwShWBWeUw8feJe66dgOfNLf3ESZoVAkm0r8YrChWf/VCVP/zLLV5aLwz0W8e5e73I//jTz9fAzSr+QDUiCAQrNS/7x9LnZNRss38nOsfYodjxRBUOXHmGMZYkHa/VPdGI/fznP8/nPvc5YDr0mPYy3I1N11VNhqN2DnagHWitK16e51qTy+DwLu/sP2PfE7y4FiEkPNpKSVOLF+5zBzqGRsUn8iU77ZROT7PPl9I1D/Q1anbcLgAAIABJREFUWOFsF2fgmZ2GAwncofKUHc/uSkEmsk274/5wjeKdjqEXWxoVj/IhzSbVssdPf36J7Y6eyznq9mrE9aWIWklza/Xi9Cf3k5WkghBOvk8ONqX2CC3beUKIPfJio8/xat+VatHZKfdiy6PNhOt7MuknCiillBM/4s55PlK6urf9HVjawoONPqmB29ciSoX8s8x5Prsar4O6K+sEzq21SPF8V5r6wC4wSQ16qNs9DJpGmnspAGuLIeFRPsQzihS7z8TZpe46gRgDvcQ9rGKUDR1KXwmiQNHupQPZtsP/3WEbLiEEvoLv+2CVjWYyUheYJ16+WeTnv3gNYGyRviiG2b4sbXjvXIsoRoon2/GhDnDzhhC7DoG92GDM1YvO746fGeryzjnIcj1gtR7Q7Bqe7SSjrw81vIYi41mZTHKmg8h39bexhoebPVrdlNWF8Lke7UP5mN3M+e64G6o09BJ3oFWM5k/2o1rxiEJBNzaj4BHcU9IGNrbdO7y+GBBkoL60FClWF3zixPJwMz71/y+EE9JfHpSSzBv1kserN4u8erNI/Rz6rqMM5L71PjHO4jNQgigDvvBCDNYrxEhXejhFZCXLetH4UrC2GCKEE8BPD5HumSQzXaQxb4POUwKl3MuX6r2SEWKwuE/w4maQ/U0nbsKbrYespGB9MWCjmbLZTEbNOUpy4iaaw4S7Uw0brRSLpV5ybhiz9uyeR7XoUfAVndhpxI5uX7iAe3jKkBXZIDkYE9Y6SZezzbwiE9nYy+C8XvRKiFEgHqcHn36z40pPamWP6iXLylw0YyclgE6dlJkUljCQcyMNKITAk4MTHjN98c1MvrppYjHaEiin6zVvZOlII6tYa6mWnfhyt+8kqoa1hXv/jb1E14KrwY70APVgkzKedTzLT3Qdv92+RgKLh8jEzANqEEAMZaf2PoHBFnBi13Ye8rr2yRAEkmsLPlpbNtsp48krQaqdxJ6nzu4eNw0MJYOaXU3gSa41/Llc7ya1zh+XqMtstGUH4spwsCR1u6vpJ4ZGRVEtznQSNmdCCCFYqPgEnqTT0/ST3dqkfmzYbKV4nmSp7k/cIu48SOHEzZUQdGPLdsvZwhUieWgn7kkQuOB0u+UKKxcrHt4cBpRD8g1gzkWgpKthNdaS7HfK4fCTgiwiYHQKJ4S751m4r4vgKk5llRIEnkRbSzc2Y7nhzAaUxVCyUvdJU8tmMx3z+ezFmtQYokBeiWd1zvwhBsdLSkKidzNMQghSY+j2NZ4SLJT9TOvlSSFYrPsoBa1OynYrJU4s1YKiUjx7QJkOrAWlgMVakNsuzgnzVoY0CXab6SZ9JZdHvgnbxVowgzVIycvPPhdDxULNQ2vDTjs9vWzQNBKFikZlYDPV0ftspvLBlnN1HCUbJBB4XtbHoiUa2MrF2pBqd1wd+BL/ueUkdl8JwOjLwMCHF4iCTJQI5pyRYdmHMRalxFyWN+ScnsN0KCchkzPtCAHtnqY3sNWslS7XGTDwBJWCwhiI03EnxcwGlDCQ99wnbZJzPHmGIOc0CCkoFRRSQqdnRnWUUgiOiwusdbtlZ03pgtC9sjhaQ7trQEC97M/1kfesY62l3TOkqaVa8CiGmT0YyzxZmv+FsES+QglBmlr0oOkxI5d/ZQgB3djQTyzFUFIuXH5YZ9lTK70n9sp0QJlzMqy19Ac1NYVA5Yv3BXKe5pQsoKTgWiNAScHmTuLqs1JLqSApHGO9KISgVvLwPUE3McTpniykgFQbNpsJUsL6Uog3r629z2OfyPk0c9S7IISg2dXEqaFWUpQOETXPuVy0dpqFTgkkG++aEIKluofvC1o9Q5wc0vjILDQ+np9pSaplY2SdkXkbaEftPq2xbDY12lhWGz7RGZspcg7iKdepq824mPzwqCbrwaZzVxp0HAtodQ39xFAreZQKxweUC1WfQihpdTXdvh7vYh4TTL/km8ggFks/dRncQqgQGdgEjizZLKSpGTuqnJYFb9Y5ag1o9TRxYimfo/b5qhFCUC35eErSizXJQArJCnfiYbRzjfE9mZfMXCHHJVFmMqAc6jM5WY5JX83VMZy0R3I1e76eagMIAl/O1TO5bGoVj8h3zgXdxGCMs7kUQsyEtqIQrqNveKyiB0HzaQLlPJg4mqMCAK3hybZzEbp9LcyE0Hcp8lyjpHaNkvk+4eqRwgVY1rou6OHY6vYtcWooRTKTJQd75xABxCk0uxrfg4WaNzcB5TBJNqovPahff+koCb6SWMvA0nn3e9kbWQOOqwVpd91urFLyD/WMnVWiQBIFEq2tOx445N8Mm0VyLoZ6UREOtCjjgUD1VlsTDjThso6nBC+tF/A92GppEn0y28WckzEUszYDu9QDM5rYdRyadpTEiUxbiJM8nJwEvie4tuBjB7amep+Tykxs7gQkqaHd0yglaJS9uVnRXKLC/bmXDMw0rvgaSgXFSsMn0ZbNPY58kOGAcjcbx1g2DqDV1cTaUilKinMUUC5UPBoVj07PsNVOJ305c8FQnmPYi6i1JUkNSkJxBvTRhBCIPXadxsJizaOS67teCEs1j2pR0elqmh2d6YXxqBOSnKtDSSfrAtDfpxE4SwzH2DxIJO0l8AUvXi8gBDzdjkn01X/CnhJEg41jf5/eaWYDysCX1Eoexlo6PT2W9zWDwSbnzLd6f7Zjfu588gytLfdPdLNCvezjKXd/hUASnTP5mqVu08skCiSBJ4hTSzyBxeEy2JXNyrlqhp23u0eiszGm9jNr8+tJ2S2lGpb2TeYadjeO45Jv2Q0oPUGj6pNq2OnqsZ3YvA62IfN+/5NkFp+9EC777TqxL+bejIV2320Ea2Vvfv2bhxluO5njq6tmloOcaeIwSZec2WLSmdnDfn9mp3EhBL50UbI2E6hMzcnhoJLATK6V1nXwCtz9lSJ1bqUArS2tjpMBWap6c++UMyu2eEeRatfQ5fsS9VxB/JyLZO+UlMmAfv81Z+zyZ42Z9PIeMtqFze5cfKGYfc4DOeejXvWIQkGnr+nFdrRjy+TEfQRCWBarPr7nNnD1sqIYnWzqMPvdcob/tYJEu+cVDJx4cmaX7XZKnBgWyj7VjMjWzArCDmSDUkMhVERBtpb9esUjDKRzg4mNu6EBo3rdGZlrz8RYQsOO2VBfBkMvb2MgScejiWyNrFMy9wNtgDFuQjHGUi97J7DMyzkpjbLT9ez0DL3YaX3GiUEpQbGgZiJjKYSgUfXwPHc263snsV10LFZ8SqGi00tp99Ldfd+MZ+TOzIHFgcxsAI+bb7t9Q2oMhUhmQgIpqxymESgEdHop/dhQLXmUMxbQ18seoSfp9jT9WDsZvNTQ6WmUFJSi7Dc/ngsBzU5Kp5dSKXk0yperLhL6ksWqR6rNwPZ693sz+Wb3YkOaGoqROtbNY14wFprtFGNdpinIA8oLQw0boYzBWEucOG/5wHfC3jMxzwmBJwUCV4FtTrFRa5Q9CqGk09N0+odLWeXsYVBsHycGKQTVorOeywK+kkSBctefmryufQIo6Rq9LEOfZQbOVC5zFXqCMGPz/7h5hBtLcWppdTS+EixW/bkeW87LO6Uba8oFj/ole3n7nqRS9DDG0unrse9la2Ttw3K4wPJOO6WfWBpln0oh07d4IQgBqXbHjIE3PxILV8pgwUxS5yTjSTnYOU/6ws6PAKpFD086qYhywTtxDeVecf287/cECEiNZafjMjHLNT8zVnlhIGlUFKm2BzIXOVeD70mWak6HcrutR8efYqBnmmX2NoEYY0mNQSpBcUbm2fMw5jx2Bb/Pul96IJDPxkx1BALnhmOtxZrdrEmqnWOJp1yL/bxw4Mhpzx9d0f/VX9O8MYuZGCmc33YYOFu95ZpPrXRGHcp9R7rzXpZyoKkL17DU7WuEgNDPTn24UoJywWUuurHeW+qWc0V4g89AWOj0U6yZzQ8h36BOJ5kOKJUSlIsSrKXTN6OFKSvOEheNkgI10KHUxmZmIcoy+2uWZjE2crqa7s9i8Pez3qgdaHVq47Q6nQ/v/A5Up5W7RzbITl4O5NzkjZKTJ5cNmkl2N+FDve3JXcdhvzzTAWUUSFbrAcYKNpspxs73y1MuOteNJDG0u2bSlzMXeIpBDeUwSHJfn6XMmxCCckG50wAsUp3delEA/dRZdnkK1hbDudWgBCiEzrozSV397awHYbP0XmSFcdmg7DR55RxECIGvJEIMnJAmtMyLgf3uMLAdkvGpPN+B7aUcubq9fjpwD8ofzaWzuhBQjiSbOwnNlrO7nDWnHCFgbTGgGCk8KVith9TKZzzyHmTj+qnrFiiE812LsVTzqJY8mr2Unc7s2qXuumrMznuRFQSM1AKkdGL6Odkk8AQvrEcIYHMnJZ1QSUPoSeoVD20sm81dP+/ckHeG2O+lm3P5FAI1KDNwgZI2ljh1E3chzPh+bYDbjcIPfazGKzci7t4onC8ocN10CIa1UPOL3PfOzupan6TODjb0Bb43ozc5xew0Nb2epVH1qVeyuezvrTe2c6qnLIRADUpiTqO2cdEEvqBR8tjuajabuxvhbI6sE3KYJtc8MAos9309DzQvnpF37iDR1u0bdloJxYLH2kIw6cu7MATwY683SLSleAoprv1NJwxkTGY2cjojs56529pJ6CeWxWpAtTjTy85U0o81qbFEviTKmA7orZWIakGx0UxpdlIWaj791LLd1lwveKwvBk7SbM62ppOcM3aPvN1GcchMvtnPdlK6Pc21RkD1kkU+pxmBy5i1e67QolpSKJmtySQrDLNt1lhSY5GjhpNJX9nF4OooTz9dVEoeUShp9ZwQcSOj2ZFJMArGM7QHtJZDi/VT4xYe32OulDeumqMyd8NkgszgxiXwJVIJEm1IB3XqWlt6fYuUgkrRy9w9zQr7g9qZjC7i1A28KJRzL+KtrWWnnWJhIGo+6SuabWY903RaGiWfYqjo9TXdxIwF2BZ7MIOZg7WWRLux5Gwps/OApHR+3TCeL8rfi6shDBTXl0KMhWdbCakejJ0ZeP7DMTRUmjC4WnUls39v52FcZWSyp5AZj7bG061D5lU26DDc4uRcKyJfnrk7N+dwzBzIBp2HwN+VshpqxVpr0dplSwIvWwHTVZBoy1Y7QUrX9KUylNELPclyzUcby0YzPXR+zrk8POnclax1jZlmRsU+ch3KXYQQA+tfQzmSVIqXfyo71P52v3/365kOKANPsFz3sdbS7mnMXJbpHs/wxctfvcuhUfEoRJJ2z9CNzcwccV80o+yCEMSJZbuToCQs1YO863QfQ2FzKaBayI71IjinlnJBYY2l2UnHJEVyrgbL3vdt0leTc9m4gFLTjy3FyKN2ydaLMPDzrvsYY3m6tdvlnemAMvQly40AY2C77XbD+fuTc5UsVNyRbrun6e6RarLWTrQLb1oRwnnydnoaKQWNssqz5vvYm33J4ugZC2jyGXnyHOJOlTNbGGPR1qKUuJITjTCQLNcDtLY82Z6RgBIGndwCEm3A7k5f8/jiHGe9mHO5DBfQNDX0YovnuaOnvPTiIFftOzvNDOtIR3+f8TlrXpU3JoqAXmJIUkshlIRB1pb9w9fy0buTDycmcQ451JXdmxDI2sg6lGGHLcJF6k7Adf7qKH3PNSFpY0lTM28qCpNHQKdv2GwlFALFjeUoP87NORZPSldjanbtKGeRYbZeSmb2HqcVIWCzldLpa5ZrAbVStpRPvIEzlxkoBaTauUopIVxwPEfDadjFv9d6cZr2ZzMRUO5i6cauw7sUKYI5E9BtVHwaZY9u37DdOeiUM49Z26tg73MVucbiGPMqQHxSamWPYiTp9Q3dnpnZYKsXu0CgOLCazLkcjlJNyHKX/ULFI/IlnZ6hnxja3ZRnzYRCJFlt+HMVUMqR8oPTPJ6UGcJRscTMvdmbzZQ0tSxVPcqFmbu95+L5Am0gHXT37fVuzfKkMs2MnuvQXi4P2kcM6+iGE5A9rJ5rjp9XpSgpBpJe7DbDs8p2O6WfWhZrPsVo/ublq0IIgafcK2XMbEhyVUsegS/o9jVxYscaTbMm0n5efF/w0nphkHXWJHoy17HXlW+vksOMfRp2VFcxj8HTyLVlz+7BWks/NmChEClE3gBx4YS+JFCCRLssTJ6h3CUKFb4nSFInX+Xi7n3v6Bw/r3mxSx195rmk26USBoL1xQiAjWaKnoEhNRwzY/W3c+oLv1ctY7gZn8Qj8KSgGEmMha3WjFkvjgaaFfmExbgArDHwbGDevr4YEM5ZGcBVsFz3qZQUza6GvK91jOWaT6UoefBM0+oaBBAnls0dJ4uzUPHz58W+RqUZKBMYLnZ2YIk3j4v/JBBCUIycEWEvyZjN0nMYJkzcXyZ7LdPAJDfjUSi5thCiNWw2Z6TL21eCWklhLXR6eibS+xeNtYOsmXXFzfmkfvF4UqAkYJ3QOeSdrEM8xaCgHuzANs0YSy/WKCVYrHi5bNA+tIHtpkFJuLMWZUvYPBCsNgK0hY2Wxh3i5+/CVSGEcPaKgOuO3h07s7BRyZkOpBB4SmBxJhVDMp2hDHzJQsXHWEuzbdxinp2590rYPVac9JXMONZ1eIOmECoWa5l+tS6cvdmF3eNP8GbI7/wiGPoUd/opCEEhUJlSCvA9QbnoNvndnh6UNmQ6b5FhnLB5mlqMhsCTmdqc5Jyeqy6d2X8inOlVb9jxBIIkNYcX/OfkXAFCCPoDr+rAE5mT5rhKdo9q8vfzMIaF7ll8OkNvZWtBWzPIkOVBzCTZbmtibVioKsqFy3dRuUz2r/FZfU8uEgv0UkOSGqJAUowm9xnPzNbRZeIsvcSgtaUQKvw56wDLmQy72mBOS1AKMpVVypku9tZAZxV3KJJb/00D3VijtaEQqEECJlvsFf+XArqxodlJiELJSiOvwRa4kr9eYihHV7NpsNiRrere55+90XUM1kKzk5IYS6OiKIbZ3o3lZAOl5G6d4Hyr4OTkHGC44Ji8hu9K2F8rmfWGqEpBEXiSXmKJU5c0avU0oSdZrOUBpQCS1PVK+L7AU5cf1nlKUisqLJad7ox1eQ+xFnqxwQwzlN5Mxcsn4rij/qNEb3POR63kUQiVG3u5atCxjDuD5n7n+9/XWXsS1kKrp0m1pVr0iPz85bhshmUH2oAeaVFmd2Qt1gKiUNLqanqxcU1Ho3rsCV/clDDWAX8FhL5kqRagjeXZzm5AmemIa78P7vChZnk3dl5CX1IIFKl2+pPWuu5aCyjlygJyLpZaWVGKFN2+ptNzL1eeiXHs924WwqKtpZ+4haFSmO8u7yhQBIEkHdilztzraWFjJyFJDat1n1JxpnIYU4lUglrZQwDtrsZmvFvVU4MAWbuSorlnZBJh3do+gVMxISDwBdY6jeEhmQ4o93YYueOUnEbFY7Xh0+1rnm4nGGvp9DUWqBS9vMvvEjHWSb5I6aSEctyk4ylJaiDRTsy8Hxuebqd4SnJrNbySI5ppZakWUC/7tHuaZlePZbftnoUjKxy4XrE7T2fnLrKNJwWrdR8hYLuVkA4CyqyNpf3Me7JohBBEA/WHbqzRZjLi5oNLGftMMj2TSyWcvaK19GKTp7/3MHz5tIHNHY0ArjV8gjygvBQE0O4Zml1N5CsWqnkmBuDaQkit5LHdTtlpu+xtvjAcxGVf3J+H3atCCGTGtGP3dnmbYeokO5c/cwghBhaMFinFTJ0G7Fq3TvpKrhZPwp1rIUoN7BfT6XkAmQ4oQ19wbSHA4Gym9ksKzN1I28++uWPebe4ui+FY0wbSFIJAUCvlASUcDB6zFBxdFWLfX1JjafVctnKx6mfqVCH0BtrABprd3Gxi0lhcDWuSGmpln9IEJWUugmEJzV7rVpud1+NC2FWB2DuvXv117J6g7H4t0wHl0BVgeFP7B1u+Nc65Cvb7MecZuJyzInBlE62uQQjBQsUjS0mlwBc0yh4WS6uj81riKaDV1STaUilKCmGml3zntKVdV7OUUAhlvspPiJEr054PINuja4DYc1NbOylxCsu1gEphJm4vZ8qpFjyigb5bHkjmnJfRkTegZLY2J4LBsaodHrVm59pnEYuzOsVa5CAAyDqdvmarlVIIFWsLQZ43mhChL7i9Gs6wDiXOI9hYSzGSBLlERc4VUCsrCpHMNSyeyx55nN0jhQlez3QyExluMb7Rz5kMgtkoddo9/XFThtGuJtT38gzlEHvF86mUgtAft86dqUIvwVBc2g22zE/KOZlgKGth93lV54zjJCYM3djgSUG56GV+oct5PmPC5vl7cem4DLf77+jtyvhjX2245r6ddupOg/J5Y0SqDdqAr65G1Pw4ZipDCVcv8JmTM2ToTh0oSSnjnrmXgRCCODG0uhrfEyxWvfxdnXGshWetmDg1rNQDyoWZymFMJZ4nWV8KkFLwrJmQpibzx8Llgjtx7KeGODV5PLmHnbYTfK+VPKoT1nnNfEA5MojP+A7sojgsOzbKEJj8iPGysdYSBpJGxZ/0pUwNe4+rDBAnruEkCmW+MHCIW84MvaLWum5vrS210m6tcc7l4SlBo+qauZrdFD1w79pvBJIlhlc9E+UgF4gAeokhTS2F8Gqbrmauyxvcy7NQ8RACun0z0nKbV6QUKCVHgbaxrsvPWlio+ag5FpG+LMYCAmtRUlAI8uc8JPQlgZLEqaEfm3xB2IeSAqWcSsBQpHjox5y19f8w97JhJ2jGbiXTDD8CiaAXu4C+GCnCjAf0e8dQXlrkmFSNrJSCKJBj7nvZHl2A70uuLbhOo612ghmt6/M52IqholL0SFJDu6fR2rDRTrHWsrYQEGR8QplGfE/iKSfmnKfcDlItKYoFRadvaHVM1k/fLpxS5Kw7e7Gl3TMj6SnX4Z2tOUwiMqWbOfNY2G4Z+olloeI7I5AMI6zzJ9d60LUu5dyt89bagTPgXuHtq78OXwkWa/7sOOUMGWqYp6mhFxu0sRRChe/NxO2dinJBUa8o4tSw0073aEXl1meXRbXkUYxU5rJJV0UxUhQCJyOjzZwfIRxCteRRKSr6qWG7ldLpG5QS1IrZqzH1PEGlqMBa+rGZu8V+6hCuacNai++JzJ9QCeGOeNt9g+8JqkWVuXfkvAghKEXOerGfuHhnErt0JSXlgsLM0pH3CAFWCJ7sxMSxYX1xzgvA81qTK6MQKqJAjQL2LNcqXS677g7DZ5Q/pl2kEMSDoNKTgtVGkDndwMCXrDYCUm15vJXMfQnSNDALdYejuUJAmlq6fU0USFYaQebv7bR4SnBnNcL3BE+2+vT7eiIHY1JCpai4thDsXtvVX8blMdTcmrcBljMdiNF/8zF4FMZajLYIBJ7KdQr3MytjZ6hBOQO3kjmGeoTjm7Vs79ycKPtg/hg0+OUw0cRRuaD4wicX+PhLldHXZiqgzMmZOBY8DwoZ98y9LNo9zaPtmDCAtYUwr6fMyblgRl7PYm8vQbbftFrJIwolvb7FGkPW72cW8JRgbSFgtTGjGcqcnGmgFCqWa7ls0H6cTqdTH5BSUCzkskGzjkuW5aUNV4kSjGTLWj0ncp516mVFIVR0expjcnecaWC4adlbN5n5gNLu73bKyZkEo3HovIy9vNP1UIZHukII8mVhPniymRCnlhtLIfVynrm/bJQULNaclF6rkyCFxDUZZFeHWEjXXDrscM4zlNNJ5ptyPCmol1xc3OmZgch5HmSO+ybntmeXTa2sqBS8sY63HMe8SnjluLknSVxWOvRl5ruMs4AQAk9KhBBobdloxvRizbXFkMqEnVTOg4VRzWDe+DhgTDlo8s8k82+37zktJAts7CRobfF9iZr7szRBog3PthOEgBtLIX6eNbs0SqGiGOXSTIcRKBdIGGtJc1eruWLYmDMLjUZZxApBL3a6jYVAZlpKT1hIBuYIgScp5XXqIGCzldDtaxarwcQd2rI7ugYIIQh9Jyr9ZCsm1bBU9YnC+RxsI5s7BMZAp6+RwtWgKJlP6peFlAIlRH4Qcwj1sqJaVHR6mnbP7HOCyaPLwzK4FpvZU4XdY8mcSTNLyidCQK9v6PScZFC9kt1s64UhoNvXJImhGEkKE457Mh9QDrHWaVMZaykX5lPUHJwOXORLjLEjz2TIbOlM5hgGAjm7FCNFFDqx/U5Pu6YcIfCUnImF7rwUI0UxVKTazWGdvkZJQa3kZ06HElwNX7XkdFnbPTMTTSE5U4CARBsSbfAVuS/8gGnaMMzMJ7L7UKfjwU6KUqSolT3ixNLq6klfzlxhgTCQVOZZUP8YhBDOErSr8ZVgoepPzUQ4SWolRbXo0Us0G62UnW6KpwQrDR+RwVOFwBMs1wIssNNO0fkG60oZdtbPFIOGIiGcOcKs3d5pGFkv2rECyqlgZgLKHEfoSwqBRGtDr5+nBq6K4UteKSiWa3lAeRhCQJwYWt0Uz5MsVPxcNgjwPImnJGlq6PZS0tQiJfh+NksopBQEnrv2oe1fztUhhEUpF3SZQc1y1qWbQl/ieZI0taTazPW8IYSgUvCQUtDrT8568TAyH1Bm/UW5LIYaUTlXg+9JfCUHtYE5RzFNxzPTxl5B6plhr11ORmtCs4Yrl3CyQZ2+wVin+5rlcbVUD6gUFc2eptU1cz2HeEpwczXCU4JnWwn92OQB5UUhhEAO7sJNVvbQIvecnMtkoeJRK3v55iYnZy/WkqYue+/7Mm8MvAKUEqw2fASw3dak2lIMJb6X3WcfeG6dNwa0yRNJQ6Ztg575gFJKQSlyR4y9eNDhLKfrIU+EveUV1s5mXc0U4fsi0xN2Ts5l8XgrJk4sN5dDyoX5VN+4Sg7LdK80/EzL7OwNnCzjiaSc6SHzxV6BJ1hbdNpLG60Ua2GhooiCOV/cxW5xthACmWvBXSp5sXhOzkFGp0WjY9d8DpoEcsoyWefCQhiIXDZoCsn8J+J2Ku5FMQObknrZJ/Bn5OU5B4mGzVaKELC2FObHTZeM2zlP+iqml2FwkWfs5RFcAAAgAElEQVTK5wexq2w+6UvJmREsEIaSemmyIt45B5mppPHII3jg+znXCBdgd/oaIaBcVKPAO+fisdbZyxVDxWI1n+j2stoIWKh4tDqaRxsJza5BSQa+znlwOWTvk9gNvid2OWdmdO2TvpCcmcRakAhyF0/2lbYxccvpzGcoc45CjIIcIch8l9+0c3055Cc+u0iSWl67U5z05UwVYSDxfYnW0I0N3djgK8FiNZvC3ZeFwFlT9voGqQS1oo+Q2QvLlBJUSh6CPom2+Z4h59zsPdnIp4w9COjFmiQ11EoetQl7tecB5YyxN6sxbR1gs8xyLeBzr/lYbO7gcAQjy0Xj6ukCP3fKAZxIMc4uNU0NzY7GE4KlqpfJgNtXkqWaD9aV3GiTR5RXzV7xayFE5ktNPE/iSTmoK5r01UwRApodQ5w4h8BiNNm1J1/5ZoxiqKgUFVob+kkubH5V+J6kXFBUCt7c2n6eBJHX0x2gUfaoFRXd2LDd0qSJQUpBGKhMBtxSCkJfYi10ezq3XpwAUgoaZX8kcF4IFX6Gz4jrJY9iJDNZAnLZJKkTN1dSTLysLbsjbMAw4zFuQ5Tt3dh5KESKetknTgfWi/P5GHJyMkO1oKgUPfp9497ZDAaRhyHErsFC1jNkWUNKwWLNQ0kXUNYrHoUJZ6/OQzFSbpMy+Lslm/XFF8GwlG1YLzlUGJkGsjvCBiglqJXHa7EKkcKb4yyRpwTaWPpJ7uWdkzPtWHa19bKYkTwKY6EzyFBWi3nm/ioRgsHzdgF9MVJ4KvtjS+ACKl9JiuF8jicpBY2KhxKCbl9PVUlJ5j+RwJPcWArHRE5X6j6FOR1sQwS7R4u7Xq7TM/By5ouxkZd3Ac8Fxlqe7SRoY1lbCOZ+Ts65IKxT01huBJO+kongKRfzeEqy0UxdaduU7BVm4g3fvzD5Xm7xZQGsRVvX5R16eQNEzmSw1iKsJdWQaDOqsctH42wjEKOa2XzzkHNhCCcZ5M9AxvWsDN+naTvVyLu8ZxQBpBpaHY0UsL4UzsSRR072kFKgpKDd0/RSQSlS3FoJJ31ZOTk5OTkXyExkKHMORxsXUAohBlaUeUCZc/VUC4pSpDAjOathIXlOTk5OzqyQB5QzyrB4eVcMNhc2z5kMhUhRjPLBdxKGvtezwqzdTxaZuac/czc0O8xYQDnsl8yx2Kmrr8iZT4bj0GInbg027fQSw+OdlMAXvLgeZbIWPPIFL6wVAHi8mZDmOpRXjkSwUPFxVU6WasEjDLK93JcKkiiS5Gv8LtM2n47VUL755puTuo5zsdF0wp7WuizckydPeOu7W5TmMCuiBDx6lCCExFhDnCTo1PLg/QdUxWMCf/6eSc5kUQI2N2OkcI042hi2d7Z5883exIV4p4FnO4adZjx4X13zUhqnvHv/e5lsPOjFls0NjcUSp64psB/3uX//PkHiTdkSOJv0YoNNY8AAAt3f4sG7bdob2QwqBRB3+kSepd+XdLpd3rl3j7StJn1pE6EXW5I0RSDo952SQr+7zYN3O2w/vfrytrt37wL7AsrFxcUrvYiLQgSaavERcZpiLbx8a4Hra+FcmscLAeVKG2ufIpAoJRHSUvn/27vz+Kiq8/Hjn3tny2Qy2RPCnkAQAgSkQFjVKtRSqyIgCPJVo35bXwpaLbJooaLsJIIIqBWoVISyCKis8csiAUoFpfwAAVkEIWHJSghZZjJz7++PYa4ZJqCWzJJ43v8ocwN55i7nee65554TbiUm1oxRX/cSlFC3SRKYzcWoqh2uvflrMoUQGxstetABnUnBGnoZlTJUVQJUdHqZmOgYDHXweq20q1iLKoBC3Asj6XQ6IiMiiIkJEQWlH1TaFSKtpeh0paiqQkR4GHGxYYSZ62ZSlICI8Cvo9VdQVSfhYSG0bBbzi+w0Atc1JkvnkYCrlSqVdpUGMVaaNLIiSYFbn9KjoIyKigpIELdMX0VsZDHFV51UORUaxIYTGxMa6KgCJiZKIjy0GIeiUmF3PXK0Wq1ERVlFQSkEREhIBSoloIJRryMmwkxUdLR4MQewWFVio+3Y7FevLdCgotPpiIqKqqMFpYLFIiFRhKuHTKZRrJn4uEgio8yBDu8XodKuYDZXIUlXUVUVs9lMZFQkVnPd7dEzm6uQ5asoOLCEGmnSMDrQIQVMpV1Bp7sEOKhyyjgVBWuYmejowNZwdfN2pQZmo3xtnJaE8gsfBB5ikIi06nE4VUrLnagqKIqCIhbVFQJIQkJVJYwGmehwg5ho/xqjXiLEKFPlVLBVKVqvbV3dP55xu75LpNVQJ4vjuqr6Majr59P1VFXllz5SRlUU1/KL6rVZM5CCYmhpvSko3X7h5xngmvdPr5NQVRWnoiJJKiEmnRivJgSOeu2VHMm1XKrZVHd7SnxFmwi8HqontYwQBOrrNfKzSK7lF915Plj8VxObV1VV8Z///Efr8erYsSNm8w+PMi5dusSpU6eQJImwsDBSU1M9/v7hw4cpLS1FVVUSExNp1KjRLXwF4UakaytUyLJEbLgBvSgohQCRZAlZkpCCp+0ThPrLvbyp6v6jWHq3PpEliYYxRr6/ZKPS7gx0OJqfXVBWVFRw6NAhPvvsM5xO1xdxOBx07NgRq9XKpUuX2LVrF3v27EGn0xEbG0toaChJSUkAnDlzhqysLPLy8nA6naSlpXHnnXeSkJBQK1+o+kUkuHrBJUki3KIXPZRCwJiNOkJNMpV2Mezix6jXFQN1jlirPfAkCVmWrr2gAUa9XOc7FERR7Mm9K6Rr466Dwc8uKPPy8sjKymLChAmYTCZUVWXcuHEYjUbS0tLYsGEDDoeDzMxMAE6dOsVbb73FzJkzkWWZOXPm8Oyzz9KmTRsAFi9ezKeffsozzzzzX3+J6g2wLP1wEQliCIAQHCLD9ESG6blQaAt0KEHNNT5MQq+T6+xCBJIkYdDLiBW8A0eSJKyhBmTJ9Ug0PsqAxVy3V1rWyzI6WRKFZRD72WMomzZtqhWQNalpMm33Zzfbdit++LdVLCa5Tk4GLAi/CJIkerBuQgVMBpmG0YZAh/JfMxpkGsWYxFi3AJIlaBhjQHdtqHJdn9QcIDpCT4RF77rhEjk+KP3sWxZZlpFl18mpqio2mw29Xq99FgiyBKEhOiQkEmKMmAx1/+IRhHrL/Tgu0HEEo2tvsJpNdbmHEsy/0PkBg4Vr/k/p2tu/ar0o7kMMMga9RFSYnkYxNXdoCYF104Ly+mlmri8a7XY7M2bMYODAgbRr1672o/uJdDqJRrFGdDqujRsJWCiCINyM6priKyFaJISaqJL0wzQgddQPT4wCHYkAUF8OhPu8kmVJPIUMUjctKFeuXMm///1vANLS0nj00Uc9tsuyTF5eHlarlZCQEN9F+SMkXNPkSMExFZMgCDegAjpZItQk1+GSyQeuTatUlwvJm4mPNIipogTBR1SCY1zpTQvK7t27a2s0Xr8so91uZ+7cuQwbNozGjRv7LsKfqX42xz+Pqqra5O51/o1RoV6Rrk3EK2Yc8BQWqifSoqfMVj/fgg8z6+rkuuSCEOwUFRpEGYiwBv6lq5tGkJiYSGJiotfn5eXlLFu2jC5dutCrVy+P8RlOp9PjUbler8dut2uFjd1uR6f74U5VVVUcDkctfBXBLSxUT0KUgdx8O7IkYdSLN9+FICFqihqZjTIWs8zVyvpZUOrEUCS/cudbh6LicCq/+NXj6jNVBbNJhzEI3h352SVtfn4+y5cvJzs7G1VVOXXqFE6nk379+tG0aVO6devGoUOHeP/9913TRxgMPPzwwxgMBiRJYtCgQezevZsvvvgCVVUJCwujU6dOtfJlVMQ8lOB6S9QaqkdVwaCXiIs0ih4hIaCUar3mgjedLIouofZIsoQ1VE9qCwuOqlCiw+rurAFuqqqiKOq1JQd/2W2Jazll134IpjbjvyppLRYLDzzwALIsawfW/d/U1FQ6deqk/TkyMpK+ffui1+vR6XT06dNHe3yuqiqpqal07Njxlr6EiopTVXE4VIwGGV3gC/WAUwFVcs3LGRmqQ4xYEwLJatZpNzliHrmbU9XgGRP133Lf2Nfl71CX6SSJhGgjA+6I43/uTaBhPXgr2qCXsYbqiAjTE/ILH48rSRATYcCgl4KqA+1n91DGxcXx1FNP3fRnUlJSSElJueH2Bx544Of+2pvSyRKNY0LofFsYrRqHEmb+ZZ9sbu4SMojON+EXKtJiICpMj4LrJkd37Wa0PkxnUquujTHVyXKd3jeSJGEyStiq6u53qMtkWSI8VE9qUligQ6k1DaKN3NUxiqsVDlo3swQ6nICSZUiINmI0yKhq8AyTCfwozlpg0sukpVhp29yMJURHeGi9+FqCUG+ouG9sVAx6mYgwfZ0umHzFPUwlso7vH70kEW01cLVCCaoeFKHuahxronGsKdBhBI0fll4MbBzV1YvKS9ZJRIUZiKoH40QEoT5TVZUQk0RshLhWa6JKrpVmYiMNdXqQik4nEWnRkSuDwymGOQjCL4EYbSgIgt/U5V43f6ive0evk5DFsReEek0UlPWce3C/6BsQBCFQGsYYxcTmglDPiYKynpO4tgxaoAMRBOEXy2zSid5pQajnREFZD1UfryRJXJtiQfRRCkKwqu9T7Ii1vQXBd4JljLIoKOshg07CpNehqqDXux43iYnNhUDShl4EScMXbGIiDDSINol9IwjCz6KqKtFWI1Zz4N+xFgVlPWQJ0REb6ZpEWpYkTIa6PaedUPeZTTrMRpkQo45oq3jD+3oGvYzJKIuCUhCEn0dVCTPLhBgDX84FPgKh1un1rsQtakghWISZZcLMeozXlgUVaiZJkqsXV6nbS8i6lsmr34/xBSFQ1GtL2aqqayUEnSwFxVNIUVAKguBzRr2M0SAjS6AXL/vekKq65qGMizLW6RtCnU4iPsqILIleV0GobbIsER9pxKiXg+r1CFFQCoLgc6qq4nCqVDkUHM5ARxO8VNVVfMdF1u2CUq+TiIsyIMvB88KAINQXkiQRG2lEr5eD6kmGePYkCILPmYwyrZuFUuVUSG5sDnQ4QctdRAZTkvhvub9CqEmHLggexwlCfSKWXhQE4RcpwmLg/h4x3N8jJtChCH4kSdAg0oBBH0RZTxAEnxCPvOs5MVWLIAiBIgEmow6dyDSCUO+Jy7weU1UVSZIw6MW0QYIQzMRNnyAIdZ0oKOs5o06iRcMQ0UMgCEHMtZKMVC/GTgqC8Mskyoz67FoPpU4niR5KQQhilhCZcLOYT0kQhJ8nmO5BRUFZD5kMEuEWfXC9/iUIwg1ZQnTa0mk/jHsOcFC3oD58B0GoKyxmPWZj4PO9KCjrIaNBJtKiC65bF0EQbkgnS+h0rjXP9TqZ8DAdklR3L2C9LNMgyoSqgsMpCktB8BVVhQiLjlBT4J9wiGmD6iH52os4ohEXhLpFVVWMBokYq7FOD1PR6yXaNQ/lkbvjsFr0ricmgiDUih+WZ1WRcF1vsi7w7YW4yuuxOpyPBOEXSb32ck6IsW4/PNLrJBrFmbivRwyyLAVF74kg1BeyLJEQY8Sok4PqQaQoKAVBEIJEfbkHlCQJo17CGFa3C2NBCEayJBETYUCvl4KqoBRXez2nqiqKmONOEARBEOoNbenFwIbhQRSU9ZiKa7B/uFmPLJ5/C4IgCILgI6KgrKdUVcWpqsg6iabxIeiCYMCuIAiCIAj1kygo66kQo44msSYSoo2BDkUQhB/hnrPRNTRFDE8RBKHuES/l1FPtW1hYNKYNkgRGveidFIRgJkkSBr1EiFEnrldBEH4W1XU3GugwREFZX+lkCV0QzJwvCMKPCwvV0ek2K3aHStN4U6DDEQShznAtsRwM8wSKglIQBCHADDqJds0tJDcyo5cDnxgEQag7TAYpKJ5siIJSEAQhwCRJwmSUMNXxCc0FQfATVaVxrJFKu5PEBiGYg2DxAOn8+fOBf/AuCIIgCIIg/CSqqnLmQiXldoWmcaagWN408BEIgiAIgiAIP5kkSSQ1Mgc6DA/i+YogCIIgCIJwS0RBKQiCIAiCINwSUVAKgiAIgiAIt0QUlIIgCIIgCMItEQWlIAiCIAiCcEtEQSkIgiAIgiDcElFQCoIgCIIgCLdEFJSCIAiCIAjCLREFpSAIgiAIgnBLREEpCIIgCIIg3BJRUAqCIAiCIAi3RBSUgiAIgiAIwi0RBaUgCIIgCIJwS0RBKQiCIAiCINwSUVAKgiAIgiAIt0Tvi3+0oKCAs2fPIkkSFouF2267zRe/5mcrLy8nJyeHVq1aIUmSx7YzZ85QVFQEQIMGDWjcuLHf4nI6nRw5cgSn04mqqtx2221YLBZte1FREWfOnEGSJEJCQkhJSfFbbG5nz56loKAAgNjYWJo1a6ZtUxSFI0eO4HA4UFWV5ORkrFar32MEcDgcnDhxguTkZAwGg/Z5Tk4OeXl5AERHR5OYmOjXuFRV5eTJk5SVlQGufZaQkECjRo0AqKio4NtvvwVAp9ORkpKCXu+Ty7NG58+f5+LFi0iSREREBC1atPDYfuTIEWw2G6qqkpSURFRUlN9iKy0t5eTJk9o1q9PpcDqdtGrVSrtOLl68yPnz55EkCavVSnJyst/iczt58iSlpaWoqkqjRo1ISEjQttlsNo4dO4aqqkiSROvWrQkJCfFrfD/Wjpw6dYorV66gqqrHuelLZWVlnD9/nuTkZK82+fTp0xQXFwPebbLD4eDo0aM4nU4AWrdujdls9kmMx48fp1GjRoSFhXltc+eU5ORkZNmzf6Z6TomPj6dJkya1Hltubi6AV75SFIVvvvlGyymtWrXyiL+4uJjTp0/7PKdUVlZy5swZWrVqhU6n89h27tw58vPzAYiJiaF58+baNlVV+eabb/ySU06ePElMTMwN2zSn08nx48dp2bIlRqNR+zw3N5dLly4Bvs0pRUVFXL582atNrimnVL9OqucUWZZJSUnxyIm+oBs1atTE2vwHi4qK2LBhA++99x67du3i+PHjtG3bFqvV6tVg+FN5eTlbt25l7ty59O/f3+PkvnDhAh988AErVqxgx44dlJaW0rJlyxobkNpmt9s5duwYGRkZbNu2jezsbBISEoiPj8doNFJcXMyWLVuYP38+u3bt4ptvviElJYXw8HCvBsxXLl68yJIlS1i6dCk7duygqKhIa6Cqqqo4efIkGRkZbN26lR07dhAbG0uDBg0wmUx+ic/NZrNx6NAhXn31Vfr166cVG3l5eSxdupQlS5aQnZ1NXl4et912m1+LXkVReOGFF9i4cSNffvklW7duxWq1kpqaSnl5Ofv27ePNN99k586d/Pvf/6Zly5ZER0f7pajMz8/n448/5oMPPmDnzp3k5OTQunVrrFYriqJw5swZZs2aRVZWFl988QVhYWE0bNjQZwn8esePH2fSpEns2rWLHTt2sHz5cvbt20e3bt2IjY2loKCA1atXs2jRInbu3MnZs2dJSUnxW5ujqioXLlzg3XffZe3atWzfvh1FUUhMTCQ0NJSKigoOHjxIZmYm2dnZ7N69m+bNmxMbG+vzBt7t8uXLHu3IoUOHaNu2LeHh4UiSxIULF1iwYAGrV6/miy++wGazkZiY6HFjW9vKysr4/PPPeffdd+nfv79He3bhwgUWLlzIqlWr2LFjBxUVFbRo0QKLxYLNZuPo0aPMnDmT7du3s3PnTho1akRcXJxHwr9Vqqpy5swZxowZQ0pKileBXV5ezrZt25gzZ45XTrl48aJHTrly5QotWrSo1ZySn5/PnDlz+P777+nevbv2ud1u59tvv9Vyyo4dO4iPjychIQGj0cjly5fZunUr8+bN086FlJQUIiIiajWnVFRUsHv3bqZPn07//v09zvWLFy+ydOlSPvroI7KzsyksLPTKKZmZmWzZsoUvvviCmJgYEhISaj2n5Obm8pe//IX4+Hhatmzptd1ut3P48GFeeeUV7r33Xu345eXl8c9//pMPP/yQ7OxsLl265JOcUlJSwooVK1i3bh2/+93vPLapqsqLL77I+vXr+fLLL9m2bRsWi4UOHTpQXl7OV199RWZmpkdOiYqK8mlOqfV/ecmSJVRWVrJixQoAvvvuO6ZMmcJbb73ltwR0vYqKCrKzs3nrrbeIj4/3SjITJ05kwIABjB07FoANGzbwt7/9jb/+9a8+j+3SpUvMmTOHt956S2u8X3zxRRwOB/369WPNmjWcPXuW5cuXA66epMmTJzN79mzCw8N9Hh/AvHnz6NmzJy+99BIAmzZtYsqUKcydO5e8vDzGjx/P/PnziYyMBOCNN95AkiT69evnl/jczp07x5///GcMBoPHMZ45cyadO3fWzsndu3fz1ltvMWPGDL/EpSgKly9fxmKx8OKLL9KxY0cALQHt3buXjz76iI8++ghw3dWPHj2asWPH1tjI1ba3336bpKQkbf98/fXXZGRkMHv2bK5cucKYMWPIyMjQEurs2bNxOBwMHTrU57EBtGvXjqVLlwJw9epVnnrqKWbOnKn1Qr777rvExsaycuVKAA4ePMj06dOZPXu2Xwpyp9PJuHHjePbZZ/nVr34FwKJFi3jvvfcYP348x44dY86cOSxYsACDwYCiKIwePRqz2cztt9/u8/gA1qxZw+nTp7V2JCcnhzFjxrBw4UIiIiL4y1/+Qnp6OhMmTABg9erVLF68mDFjxvgknoqKCnbs2MHcuXNp3LixV5v817/+laFDh/Lqq68CsGLFCmbPns20adP4/vvvmTx5MgsWLNByyiuvvILBYKBXr161Ep/T6eTixYtMnDiRCxcueBVaFRUV7Nq1i9mzZxMXF1djTunfv7+2/zZt2sR7773HxIkTayW+kpISFi5cyNatW3niiSc8tuXn5zNr1ixmzZqlFUB//vOfcTgc/P73v2ft2rWcOnVKOxcuXrzIG2+8Uas5pbKykr179zJz5kzCwsK89s8777xD165d+dOf/gTA559/zqRJk5g/fz75+fm8+uqrzJs3j+joaAAmT54MwO9///taiU9RFIqKipg0aRInTpy4YTuRk5PDSy+9hE6n8/gOmZmZ3H777VqbuWfPHmbPnk1GRkatxAeutu7TTz/lww8/pEePHh7bVFXVcsrIkSPp1KkT8ENO+eqrr1i8eDFLlixBkiTsdjsvv/wyL7/8Mq1ataq1GK9X662tw+Fw/cN6PXa7nebNm5OZmen3xzvVZWVlcfDgQV5//XXmz5/vtb2qqgpZlpEkCYfDwb333stvf/tbv8TWqFEjZs+ejcVi0Rotp9OpPcpxd/m792eDBg2YPXu2X3pP3V555RX0er12dyjLMlVVVYDrxLbb7VqiBBg7dqzfeyedTic2m83rsQq49qEsy1rc3bp1Iy0tzW+xVVRU8NJLLzFy5EhSUlJQFAW9Xq81Yu7jbTAYsNlsGI1GMjMzCQ0N9Ut8DocDSZLQ6XRUVVXRsWNHOnToAPxwfPV6PaqqoqoqI0aM8FvPGrjON5PJhKIoKIqCyWTCaDRq18v18bdt25Zp06bVeC74gnsf6XQ67bxXVVVrCxVFweFweFwjU6dO9esNttPp1PYdgMFgwG63a8e0qqpKS5oOh4MHH3zQp09A1q9fz/Hjx3nttddYsGCB1/br96c7LnDtT/f14t6fEydOrNUcU1xczPjx45kwYQJ/+ctftN/j9vnnn3PgwAEmTZrE22+/7fX33eekO+6+ffvym9/8ptbimz59Onfffbd27lWXkJCgdVBUv0bcOcX9GNydU+Li4mo9p+zcuZNt27YxdepUpk6d6rV97NixXjnFfXyr5xT3+Tl69OhazSnl5eWMGzeOP//5z2RkZGi/u7qb5RR3/nPnlK5du9KlS5daiw9g8eLFhISE8Kc//Yndu3d7bKusrOTFF1/kueeeo127dl45pfo14m6/MzIyfJ5Tar3FkCQJvV7P3r17GTx4MBMmTAhYz6Rb3759GTlyJCEhIaiq6rVdkiQMBgNLlixhwIABLF261G/JXKfTYbVakWUZVVVRFEVriNyx6fV6Dh48yODBgxkzZgxGo9GvwwcsFouW0N2Nkbuhcsdhs9kYPXo0Q4YM4dtvv63VR08/xaFDh3jnnXeYNWtWjYnFYDDw2WefMWDAAN555x2fPsq7nvtu8o033uDJJ59k8ODBZGVlaUlKkiRkWSY3N5f09HT+93//l4qKCr8VRODaP1lZWQwYMIBZs2Zp+8d9fJ1OJxMnTuThhx/mq6++8vsNA7jGZo8dO5ZJkyZ5jBlzX7/btm1j4MCBzJgxw6/H13384Iebg+qfufdhcXExf/zjH3n88ccpLCz06xjZ6m2Ku52p/rm7IH///fcZMGAAq1ev9mm73a9fP5599llMJtMN2+Qbfeb+79WrVxk5ciTDhw8nJyenVm9yIiMjmTZtGk2aNEGSJK8Y+/Tpw/PPP3/TnKLX61m6dCkDBgxgyZIltZpTRo0axR133IFOp/P6/T81pxw+fJghQ4bw8ssv13pO6dmzJ6NGjcJisdT479aUU64/vna7ndGjRzN48GCOHTtWqzklNDSUyZMn06pVK20/Xe/IkSPMnTuXWbNmeV0L7jZn/fr1DBgwgHnz5tV6mzN8+HCGDBmiFdbVqarKlStXmDx5spZTNm3a5HVdX7hwgfT0dJ566inKysp8nlNqvaA0Go2sXbuW7Oxspk+fzn333cfYsWOprKys7V/1k4WFhREdHa1dWNfT6/XMmDEDs9lMZmYmJpOJN9980+9xKorC+PHjeeCBB+jZs6cW2+bNm1m3bh3Tp0/nkUceYdy4cdpAXH9avnw5gwYN4tixY9qjKHCNhRozZgxDhw5l+vTpfPrpp2zfvt2vsdntdgoLC4mPj/fqWTEYDMyfP5/i4mIyMzNJTExk0qRJfo0PYOTIkbzxxhtMnz6do0ePao+cdDodR48eJTMzk/HjxzN69GimTp3K999/75e4DL+pGPcAAB6hSURBVAYDixYt4syZM2RkZNChQweP4R5VVVWMHTuW3/zmN8yYMYN//etffPrpp36JrTqHw0FeXh5xcXEexYNer+fDDz/k2LFjzJw5k27duvHqq69qPTK+ptPpmDZtGp988gnDhw9n6NCh6HQ6/vjHPwKuXoycnBxee+01XnrpJV577TXmzp3L4cOH/RIfuNoWd1I6ffo0Y8aM8eiVkWWZyZMnEx8fT2ZmJjabrcanObXFarXetE2+GUmSKCgo4JVXXuGZZ55h8uTJLF68mH379tVafHq9noSEBK1guz7GH8spOp2OjIwMDAYDmZmZWCwWMjMzay2+2NhYzGbzj+4/VVWZMGECv//977njjju077ZlyxbWrl3L9OnTefTRRxk3bhxXr16ttfgsFguxsbFePbvXW7VqFQ8//DCHDx9m/Pjx2ufl5eWMGTOGIUOGMH36dNatW8fWrVtrLT5ZlklISNCKtZr2od1uJz8/v8acYjQaee+998jPzyczM5Pk5ORazylRUVGEh4ff8Birqspzzz2n5ZQTJ06wbNkywHX+HT9+nBkzZjB+/HjGjRvHjBkz+O6772o1xuvVekHpcDjo1KkTAwcOpH379jRp0oSTJ0/WeAfgbze68JxOJ/369aNPnz6kpqZiMpk4d+6cn6P74SSIjY3VxiMqikK7du0YPHgw7du3JzExkZMnT9bYRe9rPXr04KWXXqJRo0YeBUVISAiPPfYYaWlptGvXjqKiIu3tTH/Yu3cvmzdvZuLEidpdbPXeH6fTya9//Wv69etHamoqERERnD592m/xhYSE8Prrr3PXXXfRtm1b2rdvj91u194QVBSFhg0b8sQTT5CamkqbNm04ffq0327CnE4nvXr14v777yc1NZWYmBhOnTqlXbM6nY5HH32UHj160L59e65evaq98e9PBoNBe3RbnaIo9OjRgwceeIDU1FTi4uI84vc1RVFYsWIFXbp0YcSIETz//PMoisK2bdu07dHR0aSnp9OpUyfat29Pbm6uX28K77vvPlq3bs1TTz3F4sWLGTZsmEeSVFWVBx54gHvuuYfU1FR0Oh05OTk+j+u/6RVTVRWr1coTTzxB586dadu2LRcvXuTKlSs+iPDmMd5om6Io9OvXj759+5KamkpISAhnz571a2zgKpyOHz9OTEyMllOcTicpKSkMGTKEdu3akZSU5LOc8mPxdevWjRdffJGmTZvyySefaJ+bTCb+53/+h7S0NNq3b09xcbH2xrw/Yvz666/ZsGEDb7zxhvY0pnpOcTgc3HXXXfzud78jNTWVyMhITp065bf4TCYTr7/+OnfffbeWU6qqqrhw4QLgOsYJCQmkp6eTmppKSkoK33//vc9zSq0/c3E6nTRr1kwb+Ol+th/IN7x/jKIodOjQgQYNGmif+esNajdVVcnMzGTw4MEeL2I4nU4aN26sTeugKIrXAGF/SUpKIikpiXXr1pGdna3Frdfr6dGjh1bMuccr+ktBQQFZWVk4HA5KS0spKSlh6tSpjBo1igYNGqAoCikpKdq0He6Y/UWv12uDpt3cjxjBdUwjIiK0Fzr8fc2494972g73/qk+TU9aWpr2yK764zN/OX/+PB9++CF/+tOfvMZ6OZ1OWrZsSVJSkvaZv/ffvn37uOeee7RxVIcOHeLo0aOAa3+GhobSvXt3JEnSxiv68xpp0qQJ/fr1IywsjPj4eJKSkli8eLHHd7j99tuJjY3VPvN3G/hTqaqKyWSiR48e2jXk7/35YxRFITU11WPqKH8OYXHLyMhg0KBBHtNouW9g27Ztq/05UDklMTGRxMRENm7cqN2AVc8p1cdY+vP45ufns3nzZhwOB1evXqWkpIRp06YxatQoEhIScDqdtG7dmqZNm3rE7C86nc7rhb7qOUVVVcLDw+ncuTPgaiP9cYxr/Qg5nU6POx29Xq/NXxesqqqqPHo93I2+P3//woULadiwIf379ycuLk7b5nA4PGJxD6T25/5csWIF33zzjfZnSZK0/eUeQF39RHU4HH7tQW3Xrh1/+MMfSExMpEWLFuj1ehITE7UC9/rjK8syNpvNb/HZbDbef/99j15bRVG041r9/8H1OMVut//o46LaUlVV5fF4WKfTaddsTcfXPe7Jn0pKSti1axd9+vTxGiN7ffyyLPv9GqnpsVT1a6SqqkrbbjAYvGL2td27d7N//34GDhxI7969tTc/qx/j6/eXP9vA69ntdq8Cwv3yiTve6turv3QSDK6/ft37218cDgcLFiwgISGB/v37Ex8fr22rKUf7+3pZuXKlx5CP6jkFCHhOadu2Lc8884xHTmnevLmWUxwOh1dO8efxtdvtLFiwwKPX1v3yn/v/q1+/JpPJLzml1kvqbt26cejQIRYuXKidJIMGDfJr9X4j7ob9+gvn/vvv5+TJk5w5cwZwFQC1+UbezVy+fJlly5bxj3/8g/T0dJYvX649om3ZsiWdO3dGURRtf6qqyqBBg/z6UoSqqmzfvp09e/YArkRz3333Aa6xUA8++KA2fQK4LsY2bdr4Lb7mzZuTnp4OuOZB3bhxI8OHDyciIgKA3/zmN+Tm5rJw4ULA1Rjcf//9fovPPTB+1apV2pisyMhIbfqgpKQk0tLS+Pvf/679fL9+/YiJifFLfPfccw+nT5/WzjGHw0H//v2RJAmz2czAgQNZv369dv41btzYb9PdXM/99md1d911FydOnGDBggXIsozT6WTAgAF+69GQZZkBAwbw1VdfceDAAW284p133gm43rq95557tOMLcOedd/p18QRwvWSQk5OjHceBAwcSEhKCJEk89NBDHDx4kCNHjqCqKjabjbvvvtvnMTmdzhqLmQcffJAjR45w/PhxwNUm9+3bF3BNgt2vXz/+8Y9/aEVH165dPXqoa4u7eL1RIlYUpcb477//fr777jutzbHb7dx77721Hp+7t7u6kpISli1bxuLFi3n88cdZsWIFDoeDX//61yQnJ3P77bdjt9s9cor7XKhtiqLU2KGkqipffPEF//73v7Xv4Z4SKCwsjP79+7Nq1Srt59u0aaP1qNa2mm7umjVrpk3HVFxczIYNGxg+fLg2+Xnfvn3JycnxS05xXyPXUxSFjz/+WMsp7nmN3fF3797dI6fce++9Hk8gfKHWJzZPTExEURSys7MpLi7GYrHwzDPPBKS7/3qVlZU4HA7S0tI8kk379u05fvw4hw8fpqCggI4dO/Lggw/6JabS0lK2bt1Kq1atKCoqorCwkLy8PNq0aUNCQgJNmjTBZDKxfft2ioqK0Ov1jBw50q/TtrRv355z585x4MABCgoKaN26NQ8//DDgGh94++23s3nzZi5evEhhYSFDhw4NyGo+4Eo8V65coXPnzlrR3aZNGy5cuMD+/fspLCwkKSnJb3MogqsHoEuXLuzevZszZ86Qn5/Pvffeq714FR0dTdOmTdm0aRNFRUWUlZUxYsQIv61G4z739u7dS2FhIY0aNeKxxx7T3mTs3LkzW7du5dy5cxQUFPDggw9qj+f9paqqioqKCtLS0rxuTpOTkyktLWXPnj3ai1lPPPGEXwvKDh06cODAAb799lvy8/Pp1auXdlMaHh5Oq1at2LhxIwUFBVy+fJk//vGPNGzY0C/xgSvBhIaGau2ITqfj+eef1+ZsTU1N5fDhwxw9epSCggK6du3qNZGyL9hsNhRFoWvXrh49Uu3bt+fo0aMcOXKEgoICfvWrX2kFh8VioX379mzatIm8vDyKiopIT0/3yUolqqpSWFhIx44da7we7XY7DoeDrl27epxv7dq148SJE1pOad++PQ899FCtx1dSUkKjRo08HmmXlpayZcsWWrVqRXFxMYWFheTn59O6dWsaNmxIkyZNMJvNbNu2zetcqG1VVVXYbDav69Y9jvg///kPhYWFJCcnM3jwYMCVUzp16kRWVhYXLlygoKDApzmloKCAtm3begx5q85ut1NSUkLnzp21ortNmzZcunSJr7/+msLCQhITExk2bJhP4isrK8NsNmsdEOB6itSlSxf27NnD6dOnyc/Pp2/fvvTu3Rtw5ZRmzZppOaW0tJQRI0Zo83r6inT+/PngfRYtCIIgCIIgBL3gGcUsCIIgCIIg1EmioBQEQRAEQRBuiSgoBUEQBEEQhFsiCkpBEARBEAThloiCUhAEQRAEQbgloqAUBEEQBEEQbkmtz0NZW6qqqpg5cya33Xab11JrAAcPHmTVqlWkpaUFIDpYvHgxCxYsYMOGDVRUVHhNuup0Opk5cyZJSUmEh4f7Pb7jx48zceJENm/ezO7du+nVq5fX/H2ffvopR48eDdickQBz584lNDTUaw6wU6dO8cEHH9CtW7eALKm2Zs0a3n33XbKysli/fj0nTpyge/fuHj/z5ptvEhcX57cJyKvLzc3lr3/9K5s2bWL79u1069bNa7L7bdu2sXv3bjp06ODX2Ox2O1OnTmX16tVkZWWxZcsW1q9fT2Vlpce5VlpaSmZmJp06dfLrRP0AWVlZvPnmm2zevJnvvvuuxnZk3rx5GAwGv84X6VZUVMT48ePZuHEjWVlZdOrUyasd3Lt3Lxs2bNCWV/M1m83GzJkzadOmDRaLxWPbjh07mDlzJps3b+bIkSPaHKvVLVy4EJvNpi1X5wsrVqwgJyfHY15GN4fDwYwZM0hOTsZqtXptP3TokM9zyrlz53j//fdJS0vzmpt5yZIlvP/++2zYsIGysjLatWvnsV1VVWbOnEliYqJPc8qcOXMIDw/3WLEN4OTJk7z22mtkZWWxc+dOevfu7ZVT1q1bxzfffOOznLJx40YOHDjgtW+qmzdvHiaTyWPZS4DTp0+zaNEin+aUwsJC3nrrLbp06eI1r+fatWs9csrx48e9csqsWbOIjo726QTkf/vb31AUxWthhfPnzzNhwgQ2bdrEtm3b6Natm9dk91988QXZ2dkec2JWF5Q9lOXl5UybNo1NmzZRXl7utf3rr78mIyODAwcOBCA6WLRoETabjd69e9O7d28KCgo8VoqprKxk2rRpWsPgb/v27WPNmjX06tWLXr160bZtW+bPn++xTNMnn3zCe++9x3fffef3+MB1w/C3v/2N1atXU1hY6LHt2LFjTJ8+nS+//DJgS3YePHiQsrIyevbsSe/evbUVCMDVsL/55pt88sknXL582e+xffvtt/zzn/+kR48e9OzZk06dOjFv3jxyc3O1n/m///s/3n77bY4dO+b3+GRZpnPnzvTq1YuePXty4cIFnE6nx8TThYWFTJ48mW3btvl1yTJwJb0TJ05wxx130KtXLywWCwsWLPBYLeOdd95h5cqV5Ofn+zU2cBUdf//73+natSs9e/akR48eLFmyhFOnTmk/s2fPHt58800OHjzol5iuXr3KlClTyMrKoqKiwmPb559/zsGDB+nduze9evUiPj6ed9991+O4Llq0iI8++oiLFy/6LMYVK1awcOFCvv/+e69tFRUVTJ069YY55T//+Q8ZGRns37/fZ/GdPHmSKVOmsGfPHq+VdxYtWkRZWZmWU4qLi1m+fLm23WazMXXqVNavX8/Vq1d9FuPbb7/Nxx9/7JErwJVzP/74Y+2aTk1N9copn332Ge+9957HeVqbNmzYwDvvvMPJkydr3O5wOHj//ff5+OOPKSgo8Nh2/PhxLaf4avnBCxcuMHnyZLKzs2tctvTw4cOUlpbWmFPAVUyuWbPGpzllwYIFLFu2jEuXLnl8fuLECZYtW6bllM6dOzN//nxycnK0n9m6dStz5szh6NGjN/z3A78e4nXy8vJYuXIl4eHhmEwmr/Vxd+7cyYEDB4iNjfVq2PwlKiqKTp06aUt9rVy5kh07dvDII49QWFjIihUrsFqt2rJm/mY2m2nXrh0PPPAA4EoGgwcPZvDgwURHR7NmzRouXLhAdHR0wFYw0uv1fPbZZxQXF3vE8PXXX/Ovf/2LuLg4KioqArL/Nm3aRMOGDXn44Ydp3769x7bS0lKWLVuGyWQiNDQ0IPHl5ORw4MABXn75Ze2zZcuWaXfEGzdu5PTp08TGxgZkyVO9Xq8tzQmu4jwxMZFOnToBcObMGdatW0dMTEyN17ivffnllzRs2JBHH30UgP379zNlyhTS09Opqqpi2bJlqKpKWFhYQHrH8/Pz2b17N2vXrtU+GzJkCD169KBly5Zs27aNI0eOEBcX55fje+HCBVavXk1kZGSNx2v//v1IksTzzz8PuJL3qFGjSE9Px+FwsGzZMmw2G1ar1Wf7c8WKFRQWFhIZGen1O/Lz82+aU3bt2qXlFF91APy///f/yM7OJj4+nuLiYq8YoqOj6dChAy1btgRg9erVbNmyhaFDh1JUVMTy5ct9mlPKy8tZunQpsixjsVi89qHZbKZt27baCnLl5eUMGjSIQYMGER0dzdq1azl//jxRUVE+OcaffPIJubm5N81Z7pziXlHObf/+/ezevZvY2FhKS0t9sv9OnDjB5s2biY2N1Vafqm7z5s3ExcXx0EMPeRWSZWVlLF26FKPR6LOc4m7X7HZ7jddhbm4u+/fv98op7v24adMmTp069aM5Jeh6KN29BE899RQWi8XrbqKyspLWrVvTv39/r/U3/WXgwIFe68a6TwJFUVAUhaeffhqr1erzxdhr0r59e62YBFePmiRJWoxXr16lT58+dOvWrcY7KV+z2WysW7eOvn370qBBA499ZLPZaNKkCUOGDAnIvgPXxX/ixAmOHDnCRx99xO7du7Vt7nWO09PTiY2NDUiMsixjNBqpqKhgxYoVrFq1ikcffZT4+HjA1UB1796dX//61wE5vtXt2LGDuLg4j0dgDocDs9lMenp6QAremrivDVVVKSsrY/jw4TRt2jQgbYwsyxgMBo8ePqPRqCWBiooKUlNTue+++3A4HD6PR1EUZFnm6aefxmw2ez010Ov1HgnK4XBoQxhUVaW0tJTBgweTnJzss/159epVfve739GpUyevfeJ0OlFVlaeffpqwsLAac0pycjIPPfSQz/anzWYjISHhhku+DhgwQCsm3arnFKfTyVNPPUVERIRP2hxVVamoqOCJJ56gQYMGXsepejHp/vnrc8rdd99N9+7dfbIPy8rKuOuuu+jZs2eNbZo7p/Tp04eEhASvnNK4cWOGDh3qs/babrcTHh7OE088UWPBm5WVxfHjxzl27BgfffQRu3bt0rYpikJlZSXp6enEx8f77PiWlpYydOhQkpKSvI6vJEkeOWXlypUMGzZMGzZQXl5OWload999902Pb3C05tU0bNiQkSNHcuXKFQCvat29Pu6mTZsC0jt0vVOnTnHlyhVtbeO4uDhGjhyp3ekGMsbLly/z5Zdf4nA4uOOOOwgNDQXg8ccfB1yPKALRA1NVVcXcuXNZvHgxhw8f9riA3GOv9uzZE7B9p9fr+e6771AUBYfDQW5uLiaTiS5duhAeHs4LL7yAw+HA6XQGJEZZlikuLmbz5s3s27cPSZIIDQ3ljjvuIDw8XFsT191zFEjLli2jX79+9OrVS/ssOTmZ5ORkj0f0/tSpUyfy8vLYvHkz4FoP+a677kKWZcxms9bTVlVVFZD95y4g3MX2jh07KCkp0a5V95rWq1ev9kt8jRs35rnnnqO4uBj4eW2awWBgxIgRgG/359NPPw24iofrf0dCQgIjR46ktLQURVG8tvft2xdw3Uj6Kr60tDTS0tJ+0iP1U6dOcfnyZW1sbGxsLM8//zwVFRVaIVfbLBYLL7zwgtYhcqPfUVJSwpdffklVVRW9e/fWxtI+9thjgOvpiC/iGz58OABbtmyp8d93OBzMnTuXRYsWceTIEY+CqUePHoBrzLGvjm+7du1o167dDR/H6/V6bZvD4SAnJweTyUTXrl2xWq288MILOJ1On+UUo9HIyJEjgZqvQ1mWuXz5co05JSIigkGDBgGuccY3E3QF5U8V6ETptmnTJi5dusSkSZMCHYqXoqIiVq5cidls5sknn/QaSB+IfWiz2Thy5AidO3fGaDSiqmqNRW0gj29iYiL3338/d999N/DDeMQPP/zQ4+cCFaMkSeTl5bFv3z4yMjKoqqpi8ODBJCYmegxWD4ZrRKfTBayn+Ua6devGhg0btEd8zZs357HHHvM6DwO1/6xWK8nJyXz11Vc4nU7WrFlT42PSYDi+P4c/4v2x33Gz7cEQH7h6s3Jzc5kyZYrP46nJzWIsKipixYoVhISE8OSTT3q9KObrfVjTv2+z2fjmm2/41a9+hdFoRFGUgA3lutH3T0xMpF+/fvTp0wdwvTD59ttvs2TJkp/0930doyzL5Ofns3fvXmbOnInT6WTw4ME0b97c4xH9j8VXZwvKYOAesH/922TBokWLFixatIiioiLS09N55513aNKkSUBjKigoYOLEiUyZMoUrV65QUVHB+fPnuXLlSkDehq+Ju4fKTVVVrzf2AsnpdNKqVSumTp2q/fn6x46Bpqoq58+fJyIiImiOq9vChQuJi4vTGvN9+/YxYcIElixZEhTHuVWrVrz44ouMHj0anU7HzJkzGTVqVMCG+Aj+484pgZhZ4KdISkpi0aJFlJSU8NhjjzFv3jyaNWsW0JgKCwuZOHEikyZN4urVq1pOKSkpISIiIqCxubl76d1UVQ2a4T7g6jVt2bIl06ZNA1xFul6v/9kFbvB8ozqmpKSExYsXEx0dTXp6eqDD8VBRUYHNZiMyMjLQoXjR6XSEhoYyceJEJEmisLCQhQsXEhsbqw1nCLTLly9jMpkwm83aZ4F62/xGVFX1ePzl/nMwGT9+PI8//jh33XVXoEOpU+x2OyaTiQ8++ABw9QoEWy9vdTWde8F2LtYF7pwSFRXFk08+GehwPFyfU4Lp+Or1eiwWC2+88QayLFNQUMCiRYuIjY3lt7/9baDDA1zH1mAwaMPOILj2odut5hRRUP4XKioqmDZtGrfddhsPPfQQlZWV6HQ6rzmbAmXHjh3s2LGD8ePHA654zWZzUDwii4+PZ/HixdrJOnLkSIYNGxZURcecOXNo27at9qay0+kMmmMLrqLcZDJRVlaGJElUVlYSEhISsMc8N+J0OpFlOah6TgHtTV/3OOeqqqqguT7A9Zb03LlzmTFjBgaDAUVRMJlMQXd83UwmEzabTdufdrvd42ZM+HEVFRVMnz6dli1bMnDgwKDLKdnZ2Wzfvp0JEyYAP+SUYLi2Y2Nj+eCDD7TiZ8SIEQwZMkQbshQM3n77bVq1aqW9LFtVVRU0xxZcRbnRaNRyis1m+69ySlAXlD92sgYqAUyZMoXdu3dz4MAB1q9fj91up3fv3owbN87j5wJ1sd15553odDqGDRuGLMuEh4czdepUr8nDwf/7UJZlbdyNu9s/NDQUo9FY488GwvPPP8/ixYt55JFHANeA+smTJ3v9XKDi69q1KwaDgccffxxVVTGZTEyYMKHGmQcC2eDLsvyj51cg4nv22WdZtWoVQ4YMQZZlUlJSyMjI8Go8f0r8vtCqVSuee+45/vCHP+BwOJBlmXHjxnlNNxKI41vT70tPT+ezzz7jkUceQZZlkpKSmDVrltdk9f6I9ceO2c1i8Nf+rOl3TJs2jV27drF//342btyI3W6nZ8+evPrqqz/6d2tbTfvvjjvuQK/XM2zYMHQ6HWFhYUydOtVruFf1N799Fdv1+6B6TgG0nsBA5ZSafseIESP48MMPtZzSpUuXGsfIBuoa6dy5M3q9XsspRqORCRMmeC0Q8GPXiHT+/Png63fF1btx9uxZGjVqVOMqGleuXOHKlSsBGRN47tw5bY5EVVVRFAWr1eox87zT6eTcuXMkJCQE5E6kvLycc+fOAa4erRYtWnidCHl5eQDadDP+pqoqOTk5REVFeQ3uLisro6CggGbNmgUkqefl5WmT9oaHh9OoUSOP7aqqcvbsWeLi4jweY/hLZWUlZ8+e1V5qSkpK8hqTU1hYiN1uD8h4LFVVOXfuHNHR0TWudAWunqzc3FyaNm3q9/FEhYWF5Ofna28z1rR6y7lz54iMjKxxVRVfq6qq4syZM9obt82bN/dqBy9fvkxZWZnXihe+4nA4OHfuHI0bN/ZK1sXFxVy6dAlJkggJCaF58+Zefz83NxeLxeLToTgXL17EYDDUuHrVT8kpJSUlPl3Jp6Kigry8PJo2berRHv+UnKIoCmfPnvVpTnFftzExMV4vcf6UnJKfn4+qqj7LKfn5+SiKUmPniNuNrtvy8nLy8/N9mlNsNhvnz5+nWbNmXjeo1XPK9ccWfsgpsbGxXvu+NuXk5GC1Wr3Gl16fUxITE73GlBcVFWGz2W6YU4K2oBQEQRAEQRDqhsAPgBAEQRAEQRDqNFFQCoIgCIIgCLdEFJSCIAiCIAjCLREFpSAIgiAIgnBLREEpCIIgCIIg3BJRUAqCIAiCIAi3xGPyt8rKykDFIQiCIAiCINQx7nlRPQrKEydOBCQYQRAEQRAEoe5xr+L1/wE0lBzTPKtF7gAAAABJRU5ErkJggg==
Here are some toys and figures I can make them just for fun and as a present for experiment participants. #Foxy girl https://sketchfab.com/models/92380e86c18d46ff84822c19196791b9 #Space ships https://sketchfab.com/kneepacks/collections/ships
p.49 #4 independent variables: *the role gender plays in students' L1 & L2 proficiency difference dependent variables: * if the girls are in the college-bound track or in the accelerated track * The relationship between the subjects' ability in native language proficiency (English) and the target language (French) proficiency p.73 #3 I choose (a) as my response to this question (a) As a further investigation on the previous conclusion “In educational terms, success and failure are dependent on the child's mastering the decontextualised language of the classroom,” I must point out that it's a conclusion reached from a very long period research. Therefore I design my sequel research in the following manner, wishing I can slightly improve the efficiency of it. *research question: how might communities collaborate with schools to enhance children's learning outcome and gaining awareness that their social life is relevant to children's choice of academic performance at school and career plan in the future *justification: lots of research has been done to record the key construct of children's development on self-initiated study, but little has been done on the issue: collaborating between the communities and school to enhance children's academic performance and sense of belongings. Sense of belonging is believed to be a key factor in helping children shaping their agencies (identities and motivation), and these agencies are greatly influenced by the interaction in social life at schools and communities *data collection procedure: mechanically recording on voice and video recording; interviewing subjects (children and parents, school teachers, school principals) *type of data: (mostly qualitative), interview, fieldnotes, transcripts of parent-children interaction, historical data collection on local philosophy of educational principles *type of analysis: interpretative, discursive, p.113 #5 (a) *The key construct is that Spada believed there is a superior teaching method in L2 learning. *The chief threats to this research is that the teachers often claimed they are using certain teaching methods (pedagogy, for example: CLT), but in fact they don't really use it at all or use it rarely. *They could be guarded by hiring more researcher to classify if the teachers are really using the methods they claimed. Correct them or strictly restrict them to use certain pedagogy. This would help eliminating the contaminated results (false claims from teachers) from the studies. (b) In this case, qualitative data are descriptive and are used for post-treatment inference. They could fill the gap that quantitative research data could not provide. They do not really match perfectly, but at least they provide some missing information. (c) They do not reach their declared research goals. Since the judges are subjective. They could also hardly prove the subjects' mental matureness process naturally accelerated during the research. p.132 #3 (a) Facilitates: Inhibitits: (b) ©
幾何語法是我獨創的教學語法，目前仍需要實驗量化並證實其效果。 但部份學生確實對這種方式有良好學習反應，我希望這樣的方式能幫助一些閱讀障礙的學生。 以下開始簡單介紹這種教學方式和語法概念 如大家所知，英語是一種SVO語言。也就是主詞+動詞+受詞。 基本架構就是如此，沒有什麼特別的情況，都可以視為 N + V +N ，也就是名詞 +動詞 + 名詞。 在這種前提下，幾何語法的概念即是把英語中的主要詞性作劃分並用幾何圖形取代。如此可以讓英語句子的結構以圖形代號視覺化，簡化閱讀時需要的句型判斷。 可以這樣做的基礎建立於： #英語是高度分析性語言，詞性明確。 #詞性的判定，仍然需要語意的介入，但經過訓練可以最小化語意介入。 又因為syntax-semantic 的連動關係，讀者只能依據名詞後面的第一個動詞語意的字，來界定SVO的POS (part of speech)界線。 圖例 目前，這樣的教學前提必須要仰賴學生有一定字彙程度，原因正如我剛才所說的，人類的語言思維行為是一種語法-語意連續體。即使是如英語這樣的高度分析性語言，仍然需要語意的介入來界定POS界線。 幾何語法這個方法需要
以下我轉述和收錄老師的精彩談話。 中正大學數學系的黃英龍老師不只學問好，在智慧和歷練眼光上也很獨到。他的口頭禪是；我有沒有跟你們說過我以前在.... 總是在解完一個題目，大家正在沉思的時候，他就開口說話了。當然他常常講重複的故事，就像任何老人一樣，但他每次講重複的，大家也都仔細聽，而且我們都知道內容了，卻也聽得很高興。一方面大腦休息一下，另一方面總是也有翹課的同學這次是第一次聽到。也因為如此，我深信這些故事是真的，因為老師從不加油添醋，劇情轉折的地方也都一樣。如果是虛構的，那目前市面上還沒有這麼精采的內容可供抄襲。 黃老師更有趣的是他的特異功能和陰陽眼，同學最喜歡聽這部分的故事，不只是奇幻超現實，也充滿他的教誨。同學一開始半信半疑，但後來都相信了。故事本身精彩，但令人回味的是講故事的語法令人拍案叫絕，劇情也很奇特。他從來不說這些故事有什麼寓意，但會挑選適合的時候解完題目時來講，寓意是我根據當下的情境寫的。但很有趣。 !!! 論觀世音菩薩 # 以前我去美國Purdue讀書的時候，碰到觀世音菩薩來找我，說要保護我。我直接跟她說不用了，我會保護我自己。(寓意: 我猜老師並不相信那是真的觀世音菩薩，而且與其求人，不如靠自己多努力一點來得實在。不管是學法念佛看風水，還是在很難很難的學術領域中要有所突破和新見地。) !!! 論基督教和基督徒 # 我年輕的時候啊，很兇。個性很剛烈。那時候我以為基督教是假的，是邪教。所以我常常幫那些基督徒念佛。結果有一次，晚上兩三點，我在研究室的行軍床上休息。我感覺有人在我肚子旁邊，眼睛一張開就看到兩個老人，胖胖的。就是猶太人那種黑袍的外國老人(註；拉比，猶太教裡面德高望重的長老和傳教人員，老師不知道這個詞，但形容的樣子就是拉比的標準服飾)，蹲在我旁邊摸我肚子。我就跟他們打個招呼，我手沒舉起來，但是我(靈魂)的手舉起來跟他們打招呼。那兩個老人搖搖頭，我知道那是什麼意思。意思是說他們沒辦法(治療)跟我溝通。我就又看到另一個年輕人，金色頭髮的，有翅膀的，從天上下來了。很俊美的，頭髮長長捲捲的到肩膀，就是他們基督教的天使。他沒有講話，但他用(心電感應)跟我說，"你不要管我們基督徒的事，我們的道不同，法無法相通"。我就笑了。從那時候我才知道基督教不是騙人的。真的有天使存在。 (這故事的寓意應該是不要不信老人言。跟你說有就真的有，公式證明是對的，你自己努力還不夠所以沒看懂，不要懷疑，多努力看懂。) !!! 論鬼怪 # 以前系上有個老師說他不怕鬼，也不相信有鬼。結果有一天晚上我們的數學系的電梯門打開，就一個沒有頭的人在裡面。他說他也不怕，就跟著搭電梯上去了。隔天他跟我說這件事情，我心裡笑他。你們知道那什麼意思嗎?意思是鬼笑他''沒有腦袋''! (表示讀書和研究不要走死胡同，真的該轉向或換方法就要換) # 學人宿舍裡面
!閱讀障礙簡介 !!!臺灣師大教育心理與輔導學系 李俊仁 不管是在美國或是台灣，特殊兒童中佔最大百分比者為學習障礙學童。學習障礙學童所佔特殊兒童百分比遠比智力障礙學童以及語言障礙學童還要多。一般人以為特殊教育服務的對象裡，最多的是智力障礙學童，其實是現實生活中資源競爭下無奈的運作現實。如果說讓每一個學童都能夠發揮其基本學習潛力是國家教育的重要目標，則這一群學習障礙學童可能是最迫切需要資源投注的對象。 依據美國的資料，學習障礙學童中有大約80%的學童為閱讀障礙；台灣因為對於學習障礙、閱讀障礙的定義還在百家爭鳴的階段，沒有具有共識且清楚的定義，因此也沒有相對應的調查資料。不過，研究者相信閱讀障礙學童應該還是學習障礙學童中的絕大多數。 !!!閱讀障礙定義 閱讀障礙，以目前美國以及台灣官方的實務運作來說，指的是智力正常，沒有明顯可歸咎的原因造成閱讀上的困難，但在學業成就與智力間產生明顯差異的學童。單純的閱讀障礙個案在還沒進入學校之前所有的行為表現與一般學童沒有可觀察出的差異，因此，僅靠父母或其它領域專業人員的行為觀察，並沒有辦法察覺閱讀障礙個案與一般學童在認知以及行為表現上有任何的不同。但是這些學童在入學後，每每接觸到閱讀的材料時，卻呈現明顯的學習以及運用困難。就是這種看起來正常、甚至聰明的小孩，卻在最基本的認字或書寫能力上產生困難讓人疑惑。 沒有學習障礙專業訓練的人很容易將學童的學習成就表現差歸因於學童不認真、不夠努力。但觀察到學童實在費盡九牛二虎之力學習基本的識字，學童不認真、不夠努力的假說就被排除。第二層的歸因往往指向學童不夠聰明，如果學童在一般活動或智力測驗上表現實在是優於一般學童，這時候，老師以及家長才會開始認真地找尋原因。 正因為不努力、不夠聰明，有時甚至是家長督導不週等等這些太容易有表面合理解釋的原因，使得這一群小朋友很容易被忽略。 !!!閱讀障礙與閱讀困難 一般人很容易將閱讀障礙跟閱讀困難混為一談，因為若不深究原因，其結果頗為相似。兩者最簡單的分野在於閱讀困難的產生是否受到學科的限制。如果說閱讀困難的現象是跨越學科的，則比較有可能是閱讀障礙；如果說閱讀困難的現象是限定於某類學科、某一本書或是某一篇文章，則是一般的閱讀困難。 閱讀障礙與閱讀困難都是在閱讀理解過程中出現問題，這是相似的部分，不同的部分，在於造成閱讀理解困難的原因。 閱讀的最終目的是閱讀理解，在達成閱讀理解的過程中，有許多不同的認知因素會影響最後的結果。 有那些原因可能成閱讀困難呢？ 一個人不識字，會產生閱讀困難；想想看你閱讀英文的狀況，一堆生字，不可能產生閱讀理解，一定會出現閱讀困難。 每一個字都認識，但是辨識的速度不夠快，會產生閱讀困難；想想看你閱讀一篇英文論文，花費許多時間將每一個字都查了單字，但是，還是不能理解整篇文章所要表達的內容，這也會產生閱讀困難。 缺少閱讀文章的知識背景，會產生閱讀困難；想想看你閱讀的中文科普書籍中，是不是發生過每一個字都認識，但卻完全無法瞭解其意義的狀況。 注意力以及記憶力不佳時，也會產生閱讀困難；想想看你疲憊的閱讀情形。 不同的原因都可能造成閱讀困難。 但是，從文獻上來說，只有因為字詞辨識產生閱讀困難的人才會是跨學科的閱讀困難，也才是閱讀障礙。 此外，因為學習障礙、語言障礙、注意力缺陷所造成的閱讀困難也常發生，這是所謂共發性的現象。美國的資料顯示語言障礙學童有極高的比例會產生閱讀障礙，而注意力缺陷學童約有25-40％有閱讀障礙共發性的現象。 不管如何，至少在美國的研究中，目前的共識是將閱讀障礙的認知瓶頸定義在於字詞的辨識上，而不是在於理解上。 在台灣，閱讀障礙學童是否僅定義在字詞辨識困難是有爭議的。閱讀的最後成果是要產生閱讀理解，這是沒有爭議的。但是，是否將所有將產生閱讀困難的所有學童都視為閱讀障礙卻有很大的爭議。爭議之處有兩點：閱讀障礙者產生閱讀困難的主因是字詞辨識，或是因為理解；非字詞辨識困難類型的閱讀困難是否屬於閱讀障礙，或是應該屬於其它障礙類別？ 我的立場是要將學童閱讀上的困難分成字詞辨識或是理解所造成的困難。只有在字詞辨識的困難，才能稱為閱讀困難；如果是在聽力理解時就已經產困難，則應該屬於學習障礙或是其它障礙類別。操作的定義非常簡單，在同樣的材料下，如果說以聽覺的方式呈現，學童並沒有理解上的困難，但是在視覺呈現材料時，卻呈現閱讀理解困難，對我來說，就是因為字詞辨識所造成的閱讀困難。 這裡所謂的字詞辨識困難可能有兩個情形，一個是完全沒有辦法辨識字詞，另一個狀況則是沒有效率的辨識字詞。簡單的說，問題可能是在字詞辨識的正確率或是反應時間上。 如果將閱讀障礙定義在字詞辨識的困難，閱讀障礙的臨床表現有哪些現象呢？ 研究發現，台灣一個二年級小朋友在上學期結束時大概可以辨識1500個中文字，極端的閱讀障礙個案會連基本的國字都無法學會，這類人比較少，也是最嚴重的個案，一般人就可以發現到這類學童的困難。 最常見的臨床個案是教學當天或短暫時間內可以表現出辨識的學習成果，但是隔天卻好像是沒有教過的字一樣，這些學童呈現有”記”卻沒有”憶”的現象。 一種比較隱性的個案則是學習時雖然比較緩慢，但與一般學童並沒有呈現出明顯的差異。不過，他們對於字詞辨識時所需的提取時間，卻比一般學童多，字詞辨識不夠快也會造成閱讀理解困難。這類學童是目前台灣閱讀障礙學童診斷上的黑數，因為沒有合適的測驗反應出他們的困難。 臨床上，要找出第一以及第二類的閱讀障礙學童並不困難，因為他們的症狀都明顯易見，大致上依據父母以及老師的主訴，加上確認學童沒有明顯智力問題大概就可以判定。第三類的最難，主要的方式是對學童施以同樣材料的聽力理解以及閱讀理解測驗，如果產生明顯聽力理解優於閱讀理解的差異，則可據以判斷是閱讀障礙的高度可疑個案。以聽力理解和閱讀理解表現差異定義閱讀障礙時，台灣地區小學生的閱讀障礙比率大概是10%。 個人以為，不用依靠標準化的測驗，有幾個行為指標還是可以用來作為”閱讀障礙高危險群”的初步判斷： # 學童在學習注音符號的辨識上遠比一般學童落後。 #學童一直無法學會注音符號拼音，或是學習注音拼音的狀況明顯的落後於一般學童。 #小一學童在國語以及數學考試成績上有明顯的落差。 #小三年級還沒有辦法閱讀兒童讀物。 !!!閱讀障礙的成因 閱讀障礙的成因有不同的假說，包括視覺處理缺陷假說、語音缺陷假說。 *視覺處理缺陷假說 說到閱讀障礙的成因，多數人認為閱讀是一種視覺活動，所以閱讀障礙是因為視覺空間的處理能力有問題，造成在閱讀上產生困難。這個直覺的想法，加上中文往往被視為是象形文字，以及中文閱讀障礙學童常常產生寫字左右相反、一個詞上下顛倒的現象，使得視覺空間能力處理缺陷產生中文閱讀障礙的想法在台灣特別的盛行。 不過，實驗證據顯示，閱讀障礙學童卻鮮少在視覺空間的認知測驗上顯示出低於同年齡、同智力學童的表現。 此外，一般閱讀障礙學童在魏氏兒童智力測驗上往往出現操作智商比語文智商優越的現象，閱讀障礙學童的操作智商與一般學童相同的現象。如果將操作智商視為非語文的認知處理、學習能力，又假設字詞辨識的學習僅需進行視覺的記憶，在這樣的狀況下，閱讀障礙學童是不應該產生閱讀學習困難的，但事實並非如此，閱讀障礙學童在操作智商正常情形下還是產生字詞辨識學習的困難，顯示字詞辨識的學習跟非語文智商是沒有關係的。 實際上，美國的眼科科學學會、小兒醫學會、小兒眼科醫學學會曾經發表一篇宣告，認為視覺因素鮮少是造成閱讀障礙的原因。 *聲韻處理缺陷假說 目前研究證據最支持的假說是聲韻處理缺陷假說(phonological processing deficit)。閱讀障礙學童鮮少在視覺、空間的記憶表現上低於一般學童，但是卻在將口語詞彙與文字符號連結時，無法產生記憶的效果，顯示並不是因為視覺、空間的處理問題影響他們對於文字符號的記憶，而是在口語與文字符號的連結學習上產生問題。研究者認為，影響口語與文字符號連結的主因，在於沒有清晰可供認知操弄的語音表徵。研究發現閱障學童往往在聲韻覺識能力(phonological awareness)、聲韻工作記憶(phonological working memory)、以及快速唸名(rapid automatic naming)的表現低於同年齡、同智力的學童；有時候，其表現甚至低於同閱讀年齡，但實際年齡較小的學童。這顯示這些聲韻處理因素是影響閱讀發展的原因，而不是閱讀能力影響的結果。這三個變項中，又以聲韻覺識最為重要。聲韻覺識表示的是對於聲韻訊息的表徵與操弄。在操作型定義上，以聲韻訊息的切割(phoneme segment)，如cat一共有幾個不同的音？去音首(phoneme deletion)，cat去掉第一個音後剩下的是什麼？以及音綜合(phoneme synthesis)，[k][a][t]等。在美國閱讀障礙的補救教學研究中，最基本也最為有效的訓練就是聲韻覺識訓練。 在台灣，另一個常被提及的假說是感覺統合缺陷。不過，在閱讀障礙研究的文獻中，知名、引領閱讀障礙領域發展的研究人員，沒有人將感覺統合視為可能的原因；影響力高的學術期刊中，討論閱讀障礙的論文也看不到將感覺統合列為可能原因。 在台灣現實運作中，醫療系統還是以感覺統合進行閱讀障礙學童的治療，不過，在研究證據上，支持感覺統合與閱讀或語言行為有關連的研究卻極端罕見。感覺統合在台灣盛行有其歷史因素，感覺統合可能對其它病症的學童有幫助，但是，感覺統合與閱讀以及語言表現無關，這個論證的研究證據應該是很清楚的。 !!!教育補救與治療 對於閱讀障礙的補救教學，台灣目前的作法還是在加強閱讀，或是如何增加識字的記憶線索上。不過，在美國，研究發現有效的補救教學往往是加入一些跟閱讀活動無關的認知訓練方能成功，如聲韻覺識。目前在媒體上極為知名的Fast ForWord 計畫，就是以施以基本的語音知覺訓練出名。他們利用擴大語音訊號差異的方式訓練閱讀障礙學童對於語音訊息的區辨，這些基本的語音知覺訓練，加上聲韻處理訓練以及閱讀活動，在短時間內，閱讀障礙學童的閱讀行為就產生改善。經過訓練後，閱讀障礙學童也產生出與一般學童閱讀時相同大腦活化模式。 基本的認知因素，如聲韻處理，影響閱讀障礙學童字詞辨識的學習以及運用。因此，治本的方式是在可能的範圍內改善這些基本認知能力。在台灣，對於閱讀障礙定義沒有共識，對於中文閱讀障礙產生的原因，更是有極端不同的想法，在這樣的情形下，就個人所知，從來就沒有出現訓練基本認知能力的補救教學計畫。目前有的教學訓練，都是由特殊教育體系的研究人員所進行，所著重的，也都是集中在閱讀活動的本身。 閱讀障礙雖然是一種認知疾患，但卻沒有辦法治療。閱讀障礙者在字詞辨識上的困難是終身性的，但是，閱讀障礙者的閱讀能力，卻是可能改善的。一個閱讀障礙者，在學習時會產生困難，最終即使不管用什麼方法能夠進行字詞辨識，卻還是沒有辦法有效率的辨識字詞，這樣的狀況是終身性的。但是，一個人如果對於文章主題有足夠瞭解，則對於字詞辨識的依賴，可以大幅降低，閱讀能力自然可以改善，閱讀障礙者可以因為對於學習主題熟悉度增加，而降低對於字詞辨識的依賴。因此，閱讀障礙者絕對不是無法學會閱讀，或無法閱讀，只是需要花費比一般人多的努力與掙扎，達到一般人的成果。如果社會文化環境對他們的努力能夠有足夠的支持系統，他們還是可以透過閱讀學習。 當然，對於閱讀障礙者最好的學習方式卻是脫離書面文字的學習。 閱讀障礙學童是有能力學習的，他們在學習上的困難只出現在透過文字的學習。學習障礙學童學習成功的機會在於提供他們與一般人不同的學習方式、不同的評量方式。如果侷限於傳統學習方式以及評量，對於這群學童來說，就好像要求一個肢體障礙的學童參加百公尺賽跑的練習與比賽一樣。 對於以聽語或溝通為專業的人來說，瞭解閱讀(reading)跟口語能力(speech)有密切的關係是最為重要的觀念。而能夠在聽語專業中，遇到閱讀障礙的可能個案時，能夠排除或確認聽語方面的原因，或是在確認聽語方面原因後進一步改善個案的聽語能力是聽語專業對於閱讀障礙學童最大的貢獻。 !!!可供參考論文 #Rayner, K., Foorman, B.R., Perfetti, E., Pesetsky, D., & Seidenberg, Mark S. (2001). How psychological science informs the teaching of reading. Psychological Science in the Public Interest Monograph, 2, 31-74. American Psychological Society. #Vellutino, F.R., Fletcher, J.M., Snowling, M.J., & Scanlon D.M. (2004). Specific reading disability (dyslexia): what have we learned in the past four decades? Journal of Child Psychology and Psychiatry, 45(1), 2-40. #Grigorenko, E.L. (2001). Developmental Dyslexia: An Update on Genes, Brains, and Environments. Journal of Child Psychology and Psychiatry, 42, 91-125. #National Reading Panel, http://www.nationalreadingpanel.org/ 裁切自: http://learning2readchinese.blogspot.com/2012/06/blog-post.html
記者/楊舒琪
資科系教授劉昭麟運用許多資料分析技術處理巨量資料，也曾經前心理系兼任助理教授、中研院語言所副研究員李佳穎，一同開發識字遊戲「收割季節」，協助閱讀認字有障礙的學童學習。
李佳穎過去研究主要探討中文形音對應的關係中心理實徵性的因素，如表音的一致性，即一群具有相同聲旁的字，在讀音一致性。她舉例，像是「搖」、「謠」、「瑤」等字讀音皆相同，其音旁表音一致性高，皆被定義為一致字(consistent characters)。
{{2016-05-05_18-04-49.png}}
此外，她也利用fMRI以及大腦事件誘發電位 (Event-related potentials ;簡稱ERPs) 等技術探討語言行為與大腦之間的關連，希望瞭解漢語唸名中形音轉換機制及神經生理基礎。
研究過程中，李佳穎接觸許多閱讀障礙的學童，進一步認知閱讀障礙者的學習歷程，發現閱讀障礙的學童在聲調、音素(拼音文字中，最小的發音單位)、及中文字的聲韻覺識能力，較一般學童來得差，且因為處理表音的能力較弱，大腦的下額葉、下頂葉以及枕葉與顳葉交界處等大腦區域活化較少。
李佳穎回憶，自己曾經遇過家長求助，詢問協助閱讀障礙孩童的方法，自覺除了進行基礎研究，也應積極將成果應用到教育與早期療育上，便運用神經科學的證據，以及中文字形音對應的基礎，結合認知學習的理論，偕同劉昭麟程式設計與資料分析的技術，發展出「收割季節」這套遊戲。
「收割季節」類似「打地鼠」的遊戲概念，學童須判斷每個出現的字是否具有特定部件並點擊，同時每個字會伴隨發音出現，讓學童藉由不斷看到字並且聽取發音的過程，進而認知中文形聲字讀音與音旁的關連性，遊戲依出現速度及字詞難度分級。
目前初步研究結果顯示，使用這套輔助教學軟體後，學童的識字量不僅提升，「快速閱讀辨音的能力也有善。」李佳穎說，目前學界對於大腦神經方面的活化與助益，仍在持續研究與分析資料中，未來希望透過更多行為與大腦的研究，設計出能夠發揮最大助益的互動遊戲，輔助提升學生學習效果。
The office is cleaning up its air conditioning system. Workers yell and walk around with their tools and ladders. It will take several days to finish their work. Everyone in the company is influenced by the noise and effected by it. I can not work on my manual writing, nor can I work on javascript learning. The website I found called Free Code Camp is extremely useful. I was thinking if there is anything Python or other needed programing languages that I can learn from it. Then I read this: https://medium.freecodecamp.com/lets-explore-the-universe-of-programming-resources-together-77ff382a4c52#.eo405v3er I suddenly understand that it's extremely normal to poke around when learning a programing language. Those websites that claim themselves to make you a learned programmer are not real teachers for you. So I can not be so confidently predicting myself to make an app with some languages within a period of time. I was worried about my thesis and graduation. But it's also true that to learn things the hard way is to really solve it. I can't just make some nonsense as my thesis since I really want to go on in my academic career in the future. Anyway, I migrate the letters to this Wiki and hope that my future instructors would recognize why I put everything in one place. Because it's important to know your progress and also to let others know that.
Hi, Dr. Gross. I am a graduate student from Taiwan, majoring in English teaching. I have a special kind of synesthesia. I can sense the tactile feeling of POS (part of speech) of English syntax as I read. It all started when I was 13. Now I am building an app for validating my hypothesis on the possibility of triggering man-made synesthesia. The app is powered by javascript and python and some other stuff to push and receive data generated by users. There are several colored blocks on the screen, each with lexicons (POS) and make a short, grammatical English sentence. Users need to learn to turn the blocks into a correct sentence as fast as possible. I have spent great amount of time and effort to built it and have not yet been successful. But I hold positive attitude toward it, and I would also like to share the infrastructure of building and maintaining it. My hypothesis is simple: If I could bundled the POSes with the some assigned geometric shapes/colors by mapping them with patterned blocks or mnemonic devices, then I could trigger a man-made synesthesia, increasing ones' reading fluency and syntax in English. I suppose a learned pattern could possibly related to the way we learned it, and gradually become part of our perceptional ability in parsing longer reading material. The first prototype is a multi-layer plate, partially shown on the phone. I made a mockup to demo how it shall be used, and the ideal material how test could be extracted from "Alice in the Wonderland". Python and its packages (NLTK, textblob, etc) will do the lemmitization and analysis for the corpora I build. I can gather huge amount of text material from different source and styles, divide them up into lemma, and use them as the element of my app. A grammar checker will check if the The Django hosts the server and pushes/receives the data to/from the app on participants' phones. I only build android version due to my limited of time. But it's based on cross-platform tools so I can make them usable on the webpage of PC or some other devices as well. The app is made of javascripts and html elements. This makes it easy to maintain and modify. http://www.bu.edu/synesthesia/faq/index.html#q6 For my possible participants, they have never read the book. While the lexicons are being used in a complex yet grammitical manner. I can test the words that are not usually being used as verbs or adjectives. I wish to do some experimental design and use it as a tool to help those who have dyslexia, and those who have difficulty understanding abstract pattern and structure of syntax. Especially for analytical language like most European language and some Eastern language like Japanese and Mandarin Chinese. I have contacted several professors for related information, but I still can not patch them up as a good design. So I wish to try mu luck here and if I succeed I would like to share my findings with you. This is where I found your information. http://www.bu.edu/synesthesia/faq/index.html I attach an html file to show the research I've done so far. Wish you can get a glimpse of the potential in it, and help me formulate a good research topic for my thesis. (Potentially I would get an advisor by this letter too: showing them the possibility of the research)
rear: http://goods.ruten.com.tw/item/show?21621764140059 front: http://goods.ruten.com.tw/item/show?21550315066172
Post origin: https://plus.google.com/+DianneHackborn/posts/FXCCYxepsDU
"How should I design my Android application? What kind of MVC pattern should I use? What should I use for an event bus?"
We often see questions from developers that are asking from the Android platform engineers about the kinds of design patterns and architectures they use in their apps. But the answer, maybe surprisingly, is we often don't have a strong opinion or really an opinion at all.
(Edit to clarify: when I write "we" here I am talking about the Android platform team. I am not speaking for all of Google or Android developer relations. There are lots of good suggestions and opinions inside and outside of Google about how to write apps, and I am not intending to dismiss those.)
Should you use MVC? Or MVP? Or MVVM? I have no idea. Heck, I only know about MVC from school and had to do a Google search to find other options to put here.
This may be surprising, because Android could feel like it has strong opinions on how apps should be written. With its Java language APIs and fairly high-level concepts, it can look like a typical application framework that is there to say how applications should be doing their work. But for the most part, it is not.
It is probably better to call the core Android APIs a "system framework." For the most part, the platform APIs we provide are there to define how an application interacts with the operating system; but for anything going on purely within the app, these APIs are often just not relevant.
That said, the Android APIs can often look different (or higher level) from what one typically expects in an operating system, which may easily lead to confusion about how they should be used.
For an example of this, let's consider how an operating system defines "how to run an app." In a classic system, this is basically the contract it has with an application about when it should run:
<<<
``int main(...) {
// My app goes here!
}``
<<<
So the operating system starts the app, calls its main() function, and the app goes off and runs and does what it wants until it decides it is done. And clearly it is not saying anything here about what the app should be doing or how it should be designed within that main function -- it's a pretty pure blank slate.
In Android, however, we explicitly decided we were not going to have a main() function, because we needed to give the platform more control over how an app runs. In particular, we wanted to build a system where the user never needed to think about starting and stopping apps, but rather the system took care of this for them... so the system had to have some more information about what is going on inside of each app, and be able to launch apps in various well-defined ways whenever it is needed even if it currently isn't running.
To accomplish this, we decomposed the typical main entry point of an app into a few different types of interactions the system can have with it. And these are the Activity, BroadcastReceiver, Service, and ContentProvider APIs that Android developers quickly become familiar with.
These classes may look like they are telling you how the internals of your app should work, but they are not! In fact, they are all about how your app needs to interact with the system (and how the system can coordinate its interaction with other apps). As long as that interaction with the system happens, we don't really care what goes on inside of the app.
To illustrate, let's briefly look at these different APIs and what they really mean to the Android system.
Activity
This is the entry into an application for interacting with the user. From the system's perspective, the key interactions it provides with the app are:
• Keep track of what the user currently cares about (what is on screen) to ensure the process hosting that is kept running.
• Know that previously used processes contain things the user may return to (stopped activities), and thus more highly prioritize keeping those processes around.
• Help the application deal with the situation where its process is killed so the user can return to activities with their previous state restored.
• Provide a way for applications to implement user flows between each other, coordinated by the system. (The most classic example here being share.)
What we don't care about:
Once we have gotten in to this entry-point to your UI, we really don't care how you organize the flow inside. Make it all one activity with manual changes to its views, use fragments (a convenience framework we provide) or some other framework, or split it into additional internal activities. Or do all three as needed. As long as you are following the high-level contact of activity (it launches in the proper state, and saves/restores in the current state), it doesn't matter to the system.
BroadcastReceiver
This is a mechanism for the system to deliver events to the application that may be outside of a regular user flow. Most importantly, because this is another well-defined entry into the app, the system can deliver broadcasts to apps even if they aren't currently running. So, for example, an app can schedule an alarm to post a notification to tell the user about an upcoming event... and by delivering that alarm to a BroadcastReceiver of the app, there is no need for the app to remain running until the alarm goes off.
What we don't care about:
Dispatching events within an app is an entirely different thing. Whether you use some event bus framework, implement your own callback system, whatever... there is no reason to use the system's broadcasting mechanism, since you aren't dispatching events across apps. (In fact there is good reason not to -- there is a lot of unnecessary overhead and many potential security issues if using a global broadcast mechanism for the internal implementation of an app.) We do provide the LocalBroadcastManager convenience class that implements a purely in-process intent dispatching system with a similar API to the system's APIs, if you happen to like them. But again, there is no reason to use that over something else for things going on purely within your app.
Service
A general-purpose entry point for keeping an app running in the background for all kinds of reasons. There are actually two very distinct semantics services tell the system about how to manage an app:
Started services are simply telling the system to, for some reason, "keep me running until I say I am done." This could be to sync some data in the background or play music even after the user leaves the app. Those also represent two different types of started services that modify how the system handles them:
• Music playback is something the user is directly aware of, so the app tells the system this by saying it wants to be foreground with a notification to tell the user about it; in this case the system knows that it should try really hard to keep that service's process running, because the user will be unhappy if it goes away.
• A regular background service is not something the user is directly aware as running, so the system has more freedom in managing its process. It may allow it to be killed (and then restarting the service sometime later) if it needs RAM for things that are of more immediate concern to the user.
Bound services are running because some other app (or the system) has said that it wants to make use of the service. This is basically the service providing an API to another process. The system thus knows there is a dependency between these processes, so if process A is bound to a service in process B, it knows that it needs to keep process B (and its service) running for A. Further, if process A is something the user cares about, than it also knows to treat process B as something the user also cares about.
Because of their flexibility (for better or worse), services have turned out to be a really useful building block for all kinds of higher-level system concepts. Live wallpapers, notification listeners, screen savers, input methods, accessibility services, and many other core system features are all built as services that applications implement and the system binds to when they should be running.
What we don't care about:
Android doesn't care about things going on within your app that don't have any impact on how it should manage your process, so there is no reason to use services in these cases. For example, if you want to start some background operation to download data for your UI, you should not use a service for this -- it is actually important to not be telling the system to keep your process running while doing this, because it really doesn't need to be and the system would be better off having more freedom in managing it with other things the user is doing.
If you just make a simple background thread (or whatever non-service mechanism you want) to do the downloading, you will get the semantics you want: while the user is in your UI, the system will keep your process running for that, so the download will never be interrupted. When they leave your UI, your process will still be kept around (cached) and able to continue downloading, as long as its RAM isn't needed elsewhere.
Likewise for connecting different parts of your app together, there is no reason to bind to a service that is running in the same process as the one binding to it. Doing so is not actively harmful -- the system just sees a dependency from the process to itself so doesn't try to keep it around any more than usual -- but it is a bunch of unnecessary work for both you and the system. Instead, you can just use singletons or other normal in-process patterns for connecting pieces of your app together.
ContentProvider
Finally, the ContentProvider is a fairly specialized facility for publishing data from an app to other places. People generally think of them as an abstraction on a database, because there is a lot of API and support built in to them for that common case... but from the system design perspective, that isn't their point.
What these are to the system is an entry-point into an app for publishing named data items, identified by a URI scheme. Thus an app can decide how it wants to map the data it contains to a URI namespace, handing out those URIs to other entities which can in turn use them to access the data. There are a few particular things this allows the system to do in managing an app:
• Handing out a URI doesn't require the app remain running, so these can go all over the place with the owning app being dead. Only at the point where someone tells the system, "hey give me the data for this URI" does it need to make sure the app owning that data is running, so it can ask the app to retrieve and return the data.
• These URIs also provide an important fine-grained security model. For example, an application can place the URI for an image it has on the clipboard, but leave its content provider locked up so nobody can freely access it. When another app pulls that URI off the clipboard, the system can give it a temporary "URI permission grant" so that it is allowed to access the data only behind that URI, but nothing else in the app.
What we don't care about:
It doesn't really matter how you implement the data management behind a content provider; if you don't need structured data in a SQLite database, don't use SQLite. For example, the FileProvider helper class is an easy way to make raw files in your app available through a content provider.
Also, if you are not publishing data from your app for others to use, there is no need to use a content provider at all. It is true, because of the various helpers built around content providers, this can be an easy way to put data in a SQLite database and use it to populate UI elements like a ListView. But if any of this stuff makes what you are trying to do more difficult, then feel free to not use it and instead use a more appropriate data model for your app.
*compatibility and deep integration with native console **upload to google play ***three phases for publishing the app **running test and stability *UI templates design **plates and layers and buttons **feedback system for UX *Bridging the codes and the value output **python for powering the analysis module (regression, fixation time duration) **javascript for building app **OpenCV modules for eye tracking !!Online REPL #https://repl.it/languages/python3 #https://repl.it/languages/javascript !!Android app development * code for dial like interface ** http://www.playpcesor.com/2013/07/floating-toucher-android.html ** http://fecbob.pixnet.net/blog/post/38002297-android簡單的圓盤形功能表 ** http://www.linuxidc.com/Linux/2012-08/68832.htm * UI element and object ** http://www.codedata.com.tw/mobile/android-tutorial-the-2nd-class-2-ui/ **http://tutorial.onsen.io/?framework=vanilla&category=Common%20usecases&module=splitter_navigator * Using javascript instead of Java to make and publish app ** easier, faster, cross-platform and html integration ** hybrid app / web app. Not Native app. ** http://docs.appcelerator.com/platform/latest/#!/guide/ListViews ** real time UI design https://onsen.io/v1/guide.html#Layouting ** https://ide.monaca.mobi/project/57558771fd17343f084255e3 * Eye tracking codes and developers ** https://github.com/trishume/eyeLike (please contact him) ** Eyetribe? * Setting up my data server ** maybe using Node.js ** storing user info and eye tracking data, track users' improvement ** For app improvement ** http://muki.tw/tech/websocket-simple-introduce-and-use/ ** updating syntax and data efficiently, in real time ** http://ccckmit.wikidot.com/js:node ** http://www.codedata.com.tw/javascript/using-nodejs-to-learn-javascript-2-control-flow/ * Python other integration ** NLTK **Mad Lib game by javascript ** https://www.freecodecamp.com/challenges/constructing-strings-with-variables#?solution=%0A%2F%2F%20Example%0Avar%20ourName%20%3D%20%22Free%20Code%20Camp%22%3B%0Avar%20ourStr%20%3D%20%22Hello%2C%20our%20name%20is%20%22%20%2B%20ourName%20%2B%20%22%2C%20how%20are%20you%3F%22%3B%0A%0A%2F%2F%20Only%20change%20code%20below%20this%20line%0Avar%20myName%3B%0Avar%20myStr%3B%0A%0A%0A ** https://github.com/FreeCodeCamp/FreeCodeCamp/wiki/Challenge-Word-Blanks ** https://en.wikipedia.org/wiki/Phrase_structure_rules ** https://en.wikipedia.org/wiki/Mad_Libs ** https://www.freecodecamp.com/challenges/word-blanks#?solution=%0Afunction%20wordBlanks(myNoun%2C%20myAdjective%2C%20myVerb%2C%20myAdverb)%20%7B%0A%20%20var%20result%20%3D%20%22%22%3B%0A%20%20%2F%2F%20Your%20code%20below%20this%20line%0A%20%20%0A%0A%20%20%2F%2F%20Your%20code%20above%20this%20line%0A%20%20return%20result%3B%0A%7D%0A%0A%2F%2F%20Change%20the%20words%20here%20to%20test%20your%20function%0AwordBlanks(%22dog%22%2C%20%22big%22%2C%20%22ran%22%2C%20%22quickly%22)%3B%0A ** Use this to make my app syntax dial game
Not sure if these links work # https://wiki.appcelerator.org/display/guides2/Creating+Your+First+Titanium+App#CreatingYourFirstTitaniumApp-Displaybookdetailsviewonselection # https://msdn.microsoft.com/en-us/windows/uwp/get-started/create-a-hello-world-app-js-universal # http://www.codeproject.com/Articles/584519/Beginners-Guide-Creating-Web-Applications-with-Jav
! Synesthesia and syntax processing This is how an usual result to admit and share my secret on synesthesia. <<< "The truth is, I am a synesthete. Which means I have synethesia." "What's a synesthesia?" "Well, it's a feeling entangled with some other feelings." "Ah, I see, just like you see your grandma's chair will reminds you of how her cake taste, right?" "Umm, not exactly, it's...umm... I can see the color of sound. It's like the wire of the brain got wrong." "Unh....oh, I feel sorry for you. Can it be cured? So do you feel messy when you walk around?" <<< Another common way to end the conversation is a sudden quiet of "I don't get it" or "I don't believe it" atmosphere looming around. I have to explain the word "synesthesia" eveytime I mention my topic of linguistic and syntax research. It's difficult for anyone to understand that the word is not a diease or illusion. It's even harder for them to understand what it means to I guess that's why synestheia is so rare for people who did !! Research Review In this study, I am going to testify the possibility that synesthesia of this kind can improve learners' syntax ability. This experiement is crutial in several aspects, and thus worthy of my time and resources to investigate. Ward, Jamie. Gross. V. # Man-triggering synesthesia () # Dyslexia research and theraphy # TESOL # An app based data generator and collector. # a non-linear way of storing and sharing information for people wish to go on this research path In the best case, I can achieve above all. Even in the worst case scenario, I can at least achieve on of them. !!!Setting up the environment * Project design ** code being used: javascripts based. Python does the NLTK processing. ** UI ** Publishing channel ** Server and data ** * Time schedule ** Phase I: ** Phase II: ** Phase III: ** Phase IV: round up for oral exam and graduation * Technical support ** Web support: StackOverflow, FreeCodeCamp, github, etc. ** Colleague: * Advisor support ** Background ** * Financial support ** Self funded: I am an employee of a software company. ** I got health ensurance covered from my job. * Health and usable time resource ** After work hours. ** Holidays ** Breaktime at work * Plan B (and C...) ** What if I can't finish ** My limited time and energy I will have !!!Designing Devices !!!Participants The source of my participants will be users of android smartphones. My app will be published onto Google Play, and I will have the release message publish on several web forums.
''Grammaticalization 語法化 (90%)，舊稱「虛化」'' Bleaching = 舊稱「虛化」，現稱「語法化」，因為語用的優勢而轉變 (contnet word => functional word. Eg: be going to => gonna ) Content 沒有了，但function 卻不斷增加擴大 (its host expansion is enlarged) Eg. 很…+adj/N 很像、很那個、很錯誤、很美國 ''Grammaticizalion (grammatical structure)，中文也翻作「語法（的演）化」，但其實跟上述者不同'' Idiomatic expression (我覺得、I think)… they are grammaticaized chunks 演化過程中會出現polysemy 因為有persistence and layering 因素的關係 同個字出現多種意思，但也會保留舊的用法 這兩個黑體字意義/意思不同！ Mandarin Chinese: N+de+modifier 其中的關係則是從語意決定 Fox: 不要從grammar to research Chinese, do it from 語境 Footnote 6: "Frame net" "frame semantic" Framenet.icsi.berkeley.edu
Classifiers and classifiers construction Four types: Sortal & measural, affordance, blending classifier This paper will introduce 4 types of "nominal" classifiers in Chinese - classifiers that are selected by the lexical head nouns. The four types of classifiers are: sortal, mensural, affordance, and blending. However, there are still some unidentifiable classifiers left for further discussion. *6.1 Introduction **Temporal classifiers (Creative use/ new born classifiers) **Grammatical mass/count noun distinction - if it could be a construction because it's related to how people with different languages make categorization *6.2 the nature of classifier *6.3 types of numeral classifiers *6.4 argue for incipient (early) count/mass grammatical distinction in the classifier system of Chinese *6.5 the cognitive basis of the use of classifier *6.6 the existence of two more types of classifiers (blending, affordance classifier) *6.7 brief discussion on verbal classifiers *6.8 distinguishes four types of classifier constructions *6.9 the history of classifier *6.10 conclusion ''6.2 What classifiers are '' English in persistent in making mass/count distinction. Examples for Count / mass: (People/population); (Weapon/weaponry) Rules for this distinction "if one can imagine a bounded entity as some kind of substance" (p164) On the contrary. If we wish to refer to a bounded instance of a substance, it's necessary for the mass to be utilized (a book / a drop of water) But in Chinese it's not possible to directly quantify a noun through the addition of a numeral. ''Mass Noun Hypothesis:'' speakers of numeral-classifier languages may be more disposed to substance conceptualizations over object conceptualization …A nominal expression in Chinese has the layered conceptual structure shown as below. (Common to nominal expressions in other languages) <<< //"the ontology of speakers of numeral classifier languages may be systematically different from that of English speakers. Rather than an ontology which gives prominence to 'objects', reflected in English and other European languages, theirs might be weighted towards substances."// <<< ''(Grounding (quantification(instantiation(Specification(Type)))))'' Classifier = a linguistics device of specifying category (what kind of category? See "yi kuai doufu") Kuai is determined by the semenatic property of noun doufu: it's a three-dimensional square-shape object The human nature of categorization: see the evolution of "tiao" One-dimensional articles of law Two-dimensional suits of armor Extended to … three-dimensional: long and thin, even round objects. • kouhong-the lipstick • Niu (cow, long but relatively thin) • Haohan (tough guy…in what aspect it has any property close to tiao? ) • Renming (life of a person), zuixing (crime)… abstract idea "zhang"- two-dimensional (Papers. Tents) Three-dimensional (tables, chairs in Yuan Dynasty) = metonymy These show that classifiers do reflect human conceptual structures Most classifiers, (esp. sortal classifiers), define a highly heterogeneous class of objects connected through often elusive radical chains of association. = Erbaugh (2002) compared the the use of classifiers across different Chinese dialects. = which makes an essentialist analysis of classifiers a pointless exercise (cf. H.Zhang 2007; Her 2012.) = Aikenvald (2000: 98) states "numeral classifiers are the most commonly recognized type of classifier systems" 1. categorization is based on various types of interactions that humans carry out with the objects of their environments as it is mediated through cultures (physical, social, functional interaction) 2. An implicational scale can be establishd among the semantic features of classification which states linguistic classifications mark [humanness and animacy first. then shape, then use and consistency] 3. The classification of concrete objects by physical characteristics, a possible generalization is that the identification of one-dimensional objects occurs before two-dimensional ones. 4. Occur before the identification of consistencies, first of rigidity, and later of flexibility 5. Often combined with numerals to form noun phrase constructions to individuate and thus to indicate quantity. Special cases in Chinese Mandarin Chinese (82% of sortal classifier expression appear with a numeral in Pear stories) Cantonese (84% of sortal classifier expression appear without a numeral) (Erbaugh 2002: 47) Previous studies of NC(numberal classifiers) only distinguishes tow types of them: sortal and mensural • Sortal: describe inherent properties of referents and mensural classifiers describe the ways they can be measured • Mensural: baseds on arrangement and quanta But the writer argues there are at least two other types exist: affordance and blending Classifiers are selected primarily to introduce new salient entities into the discourse #6.3 Types of numeral classifiers Chao (1968) classified classifiers into nine categories without specifying his parameters. He asserted that only individual measures and classifiers associated with V-O constructions are true numeral classifiers. Type (1)~(9), (9) is verbal classifier Sortal and mensural classifiers Sortal: individuates a referent in terms of its more inherent properties such as animacy, shape or consistency Mensural: are used for measuring more temporary state of an object, its quantity, or the arrangement it occurs in. (Tao, fu, shuang) We now usually take zhang as a sortal classifier. However, it is likely that most verb-derived classifiers developed into mensural classifiers. (bao, tao, etc.) p168 "How abstract nouns are classified has never been seriously addressed." "When attempting to trace the dev. Of any given NC and provide a cognitive account of its meaning, it becomes obvious that any essentialist account of the meaning of a classifier is doomed to failure. The best explanation of the use of classifiers is still the Lakovian theory of a radical category chain centering around a prototype." Observing from the corpus we'd find Chinese is typically the O role(patient argument of transitive clause) where new and non-human entities are first introduced into discourse.
Codepen online template and CSS # http://www.hongkiat.com/blog/codepen-tips-beginners/ # http://www.hongkiat.com/blog/css-code-generator-web-apps/
CxG #http://www1.icsi.berkeley.edu/~kay/bcg/ConGram.html #http://www.constructiongrammar.org/
Chinese Grammar at Work ch6 [[Huang, Shuanfan]] Course: Construction/functional Grammar Prof. 賴惠玲 102551020@nccu.edu.tw Student. 吳浩民 2015.7.15 !!Summary The ontology of numerical classifier language speakers (eg. Chinese) is different from that of English speakers'. The former weighs more on substance, while the later weighs more on objects. According to Taylor (2002:383), a nominal expression in Chinese has the layered conceptual structure like the following formula. This is also common in other language. (Grounding(quantification(instantiation(Specification(Type))))) Typically, the head noun would choose an appropriate classifier. This led researchers to choose an essentialist path to study all the possible attributes that a given head noun possesses. But Huang proved it's a futile and a Sisyphean act since classifiers has evolved far from the original attributes that the head noun had given. She introduces Lakovian theory, which assumes there must be the prototypes that outline the main concept of each words. This would enable us to categorize classifiers more easily. Chinese N.Cs serve to prompt new entities, not just fulfill syntatical requirement as English classifiers do. Also, the importance of reference would determine if they shall use N.C. This is similar for South-east Asia languages like Indonesian. Huang argues to apply mass/count noun way to distinguish Chinese N.Cs. It's particularly useful to distinguish abstract nouns. Adopted from Y.R. Chao's categorization on Chinese classifiers (esp. sortal and mensural), Huang proved that some examples could not fit into existing types. There are two new types of Chinese N.Cs extracted by Huang. *Affordance (reciprocal relationship between perception & action ) = embodiment framework: perceptual symbols, their affordance. For example, a cup. Those artifacts could be transformed into N.C.: 一"簑"煙雨任平生、"尖"一顏、"帽"一顏 *Blending: 一"鞭"殘照裡 Huang mentioned verbal classifiers in section 6.7, and in section 6.8 she continues with the construction of classifiers: Sortal classifier constructions, Mensural classifier constructions, Variety classifier constructions, Property classifier constructions. At the end of the chapter Huang discuss the historical evolution of Chinese N.C.. Two competing theories: Chinese N.C. are borrowed from Tai, or developed from Oracle Bone Inscription (according to the way items are packed, verbs are transformed into classifiers.) Huang made a tour on the historical development, rise and fall of some N.Cs in Chinese dynasties. She concluded that there are at least 4 types of N.C exists in Chinese, and urged that the temporary classifier and its creative use is worth further studying. !!Critics We may find some hidden classifers through the use of corpus, but the ontological base for text mining is not yet matured. I think it's not wise to build an ontological base from scratch (like what most researchers did). What we can do is to utilize the latest categories available, and keep mining new examples. My idea on how to build a tactic search engine is simple: Some undiscovered nominal classifier (N.C.) are hidden within the creative use of binding and affordance. To find them effectively, we need to import the database and parse them with some basic expressions. For example, if we need to find some N.C., we may search words right after numerals. For more sophisticated text mining, we need to use LSA (Latent Semantic Analysis) and VSM. This is in accordance with the Lakovian theory of radical category chain, which centers around a prototype. I have something to say with the "embodiment framework." Although it uses perceptual symbols and their affordance to ground meanings, it does not permit the word to derive its meaning from other semantic reference. This is where human kinds become different from machine. A machine can only learn the meaning of a word from the semantic and ontological web. It does not actually interact with the real world so it
Discourse Analysis Final Report
政大英教所 2014 Jan 16
102551026 陳德愷
102551020 吳浩民
!!Cohesive Devices: Error Analysis and its use in teaching plan
!!!Abstract:
In this papar we try to analyze senior high school students’ error in using cohesive devices. By collecting more than 100 participants’ composition, we may find out certain pattern of misuse of cohesive devices. Thus design a pedagogical method to improve their proficiency of using them cofidently and accurately. This paper is divided into two three major parts: checking and collecting participants’ errors, analyze their errors, finally design a teaching plan and see if it works.
!!!Introduction:
Teaching writing has always been teachers’ nightmare. With so many works at hand, teachers can hardly correct all the papers in time and return them to their students. One of the most difficult things to correct papers is to provide guidance on how to use cohesive devices properly. Most papers focus their research questions on how participants use their cohesive devices, but few pedagogical breakthrough have been done to improve learners’ efficiency in learning cohesive devices, regardless their proficiency. According to Halliday and Hasan, there are five categories of cohesive devices: refernece, ellipsis, substitution, lexical cohesion and conjunction. All of them contribute to the coherence in composition, but we chose to work on teaching Taiwanese students how to use conjunctions properly.
!!!Research Goal:
We wish to improve Taiwanese stendents’ overall proficiency on English composition, especially on properly using cohesive devices. From the data pool we searched we found that most papers related to the quality of composition have something to do with acurrately using cohesive devices in composition. Therefore we chose to enhance participants’ ability in using cohesive devices. Participants are 120 senior high school students in a senior high school in New Taipei City. We expect them to have stark improvement under our designed guidance.
Literature review:
We always need to push the limit of our research by standing on the giant’s shoulders. We found some related papers, but few of them focus on designing a pedagogical method to improve students’ efficiency in learning cohesive devices. From our great predecessors, Halliday and Hasan (1976:8) we learned that “cohesive ties are important because they can make separate clauses, sentences, and paragrapgh into units of connected prose”. These proses refer back and forth to each other. While these conjuncts signal a subtile relation elements, we must take them as an important part in teaching composition to EFL students.
These conjunctions have various sub-categories, such as coordinating conjunctions, subordinating conjunctions, and conjunctive adverbs or transitions.
Let us start from defining what cohesive devices are. Halliday and Hasan (1976) had pointed out there are five categories of cohesive devices. They are: refernece, ellipsis, substitution, lexical cohesion and conjunction.. Among them we found the category of conjunction is one of the most common misuse type at inter-mediate level students.
We are in an EFL setting, so most of our students will encounter the same issues as EFL students. By studying ESL/EFL students’ usage of cohesive device, researchers found that the overall frequency of (correct) cohesive devices is a very effective predictor in evaluating the quality of essays written by ESL/EFL learners. (Chiang, 2203; Liu & Braine, 2005)
Chinese students have certain issues in using cohesive devices. Tickoo (2002) studied a temporal conjunction ‘then’ as used by Vietnamese learning English as a Second Language (ESL) and Chinese learning English as a Foreign Language (EFL) at Hong Kong University. From our colleted samples we also found that Taiwanese students use “then” far more frequent than other EFL leanrers. This might be the interference of thier mother tongues.
We shall start from collecting samples of mistakes by assigning students to write on certain topics. Find out their mistakes, and raise their awareness when using these conjucnctions.
!!!Methodology:
Samples are taken from the compostion work ffrom more than a hundred senior high students in one of a senior high school in New Taipei City. They are required to write reflection or opinions based on the movie they watched in class. They are provided with six questions. Each students must select at least three questions to anwser and compose their ideas into this composition. There is no restriction or limitation on connecting ideas among their answers. We want to see how conjunctions are used in their essays, and if there are poor causal relationship between their sentences, which are “gaps.”
!!!Error Analysis:
Here are some of the examples extracted from participants’ compostion.
*Type A (lack of proper cohesive devices; unable to cut short the sentences)
**“I would not choose face to face to say (expression) , (because) I am afraid of being rejected.”
*Type B (illogical reference, some of which are created by using wrong cohesive devices)
**“I think if I like someone, I will tell you (her) by card or email, because I can not tell her directly, so I will tell him by other ways.”
**“He might be very happy because Christine had kissed him before she left, he got the thing who (what) he wanted very much (--a kiss)”
*Type C (gap; weak or no cause and effect relationship between connected sentences; lack of needed cohesive devices)
**“Although Pahantom doesn’t have a nice face, but he has a very beautiful voice. It touches Christine. She gave a kiss to Phantom.” (Gap: Chrsitine kissed Phantom not because she was moved by his voice)
We found participants have the following common mistakes:
# unwilling or unable to cut short their sentences
#lost their original subjects
#Overuse some cohesive devices (and, but, although, because of, then...)
#numericals are also overused (firstly, second, the third...)
#dangling sentences
We have the following assumption for these mistakes:
#participants’ severe lack of reading material, especially materials beyond test papers
#most of their usual usage focus on “making one sentence”
In order to teach participants efficiently how to properly use cohesive devices, we specifically focus on mistakes that are related to cohesive devices.
As for pedagogical method, we think the following guidances would help. Thus we will incorporate these tips into our teaching plan:
#Shorten the senteces and avoid dangling sentences
#Use more “it” initial sentences instead of long subjects sentences. This would avoid unnecessary cohesive devices.
!!!Teaching Plan
With all the common errors using cohesive devices in students’ essays, it is obvious that a new way of teaching cohesive devices is necessary in order to repair the problems students have. The new teaching plan should focus more on the actual use of these cohesive devices, both in language input and output. That is, in contrast to the deductive teaching out of context, we should now adopt a more inductive teaching method and also put these cohesive devices in context; after all, the cohesive devices serve as an indicator of the relationship between two ideas. Therefore, treating these words as isolated vocabulary for students to memorize would not be the best way to learn these words.
The teaching plan we suggested as follows aims at two goals: to make the teaching process more interactive and also to focus on the actual use of these cohesive device in context. For the first goal, as communicative language teaching (CLT) suggests, the role of the teacher is that of facilitator and guide, not an all-knowing font of knowledge. Students are encouraged to construct meaning through genuine linguistic interaction with other students and with the teacher (Brown, 2007). With this idea as our principle, we designed our teaching plan with most of the activities being group and pair work. For the second goal, we will make students learn these cohesive devices from good examples, and also students will have a lot of opportunities to try to use different cohesive devices through these activities.
!!!Arousing Students’ Interests
When coming up with a lesson plan, teachers must make sure that there is a good introductory phase to attract students and arouse their interests for the topic he or she is going to focus on. In this teaching plan, we can use a song “From Pong to Today” from the website Flocabuary to be our hook of this lesson. The rap song talks about the development of games, a topic that most of the students are familiar with and interested in. Since there are plenty of cohesive devices used in the lyrics, the song can serve as a good way to raise their awareness of cohesive devices. Before they listen to the song and watch the lyrics, it is advisable for you to ask them to pay attention to the yellow words and phrases in the video (these are cohesive devices) and ask them what kind of words they are.
!!!Example Comparison
After students are aware that these yellow words in the lyrics are belong to a category of words that has special functions, it is a good time for them to pay more attention to these cohesive devices in a complete paragraph. The activity that we are going to do is called “Example Comparison”, that is, your students will read two example paragraphs that basically have the same content. However, one paragraph has no cohesive devices to connect the ideas and the other one does. They will have to discuss in pairs of the question: “Which essay do you like more? What makes you think so?” When the discussion is finished, you can do a quick vote and pick several students to express their ideas of the two paragraphs.
''Example A: a paragraph without cohesive devices''
Students who write academic essays need to provide effective transitions. Transitions allow writers to connect the main ideas that are present in an essay. Using conjunctive adverbs and other introductory elements allow a writer to connect one sentence to the next. The use of these words will make the writing more fluent and less choppy. Many students fail to use effective transitions, and the essay comes across as disconnected. Writers should always be aware of the need to connect both sentences and paragraphs together.
''Example B: a paragraph with cohesive devices''
Students who write academic essays need to provide effective transitions. It is the use of these transitions that allow writers to connect the main ideas that are present in an essay. For example, by using conjunctive adverbs and other introductory elements, a writer can easily connect one sentence to the next. Moreover, the use of these words will make the writing more fluent and less choppy. Unfortunately, students often fail to use effective transitions, and, as a result, the essay comes across as disconnected. To avoid this, writers should always be aware of the need to connect both sentences and paragraphs together, and they should strive to find creative ways to do so.
Introduction to Cohesive Devices
After your students become aware of the importance of cohesive devices, it may be a good time for you to introduce cohesive devices to them. The way we organize and present these numerous cohesive devices is to form different categories according to their functions in the view that when we write an essay, how we choose the suitable cohesive devices to use is based on the relationship of the two ideas. In addition, we have to give them enough information of these words, including definition, part of speech, and example sentences to make sure that they know how the words are used in context.
Before teaching the individual cohesive devices, we need to tell students what the function and purpose of cohesive devices is: These are the words that connect the sentence together and tell the readers the relations of each sentence and paragraph so that your reader will easily follow your idea and won’t be lost and confused.
{{2016-05-16_16-14-09.png}}
Above is just an example that gives you an idea of how to present the words to your students, you still need to give extra instructions on the use of each word one by one, to supplement the materials by giving some attention to the use of punctuation, the formality and giving some opportunities for them to make sentences on their own.
!!!Learn from good examples
From deductive way of teaching, students can get to know all the cohesive devices and their meaning. However, it is not reasonable to expect students to put their knowledge into use immediately. It will be better if we give the more inductive learning, that is, to tell students to observe a good examples on its use of cohesive devices and try to analyze how to author uses these cohesive devices to connect his ideas. By doing so, students will pay attention to the actual usage of cohesive devices in a paragraph and try to learn from these good examples.
''Example paragraph 1:''
English is only one of the world’s 6,800 languages, but it is rapidly becoming a truly international language. First of all, English is the native language of more than 400 million people scattered across every continent. In fact, English is used in some way by one out of seven human beings around the globe, making it the most widely spoken language in history. Approximately, 50 percent of the world’s books are published in English. In addition, three-quarters of all mail, faxes, and electronic messages are written in English. English is also the main language of science, technology, and international business. More than half of all scientific and technical journals are written in English, and more than 80 percent of the information stored in computers around the world is in English. More than half of all business deals in Europe are conducted in English, and many more are negotiated in English in other parts of the international business community. Finally, English is the language of sports and entertainment. For example, it is the official language of both the Olympics and the Miss Universe Pageant. English is the language of more than 60 percent of the world’s radio and TV programs. More than ever before, English is now the most widely used and studied language of the world.
The first thing your students have to do when they read the paragraph is to identify and underline all the cohesive devices in the paragraph. Then they will have to answer questions like Which two kinds of transition signals did the author use in the paragraph? or more detailed questions such as the author used what words to connect two ideas. From the questions, students are guided to examine how the cohesive devices are used in different types of essay and such experience should be beneficial to their own writing.
!!!Learn from bad examples
In addition to the good examples above, bad examples can also be of great value for students to avoid some common mistakes made by language learners when using cohesive devices. Again, students are given some examples, but this time they have to discuss in group to identify the errors and try to revise the sentences or paragraphs. After finishing the task, students have to give a short oral presentation to explain what they’ve found.
''Example sentence 1:''
George's wife stands at the window and looks out at the rain falling on the empty streets. For example, she sees a cat huddled under a table in the rain.
''Example sentence 2:''
George's wife decides to go out into the rain to get the cat. Consequently, George sits in bed reading his book.
For choosing the examples here, be sure to include some common mistakes that your learners often made when using cohesive devices. Also, we need to make sure that there are no errors expect the wrong use of cohesive devices in order not to distract our students from the main topic of the lesson.
!!!Learn Different Types of Essay Writing
Cohesive devices are of critical importance when we write; however, it is only a part of the whole writing process we need to pay attention to. We need to make sure not to make our class a grammar or vocabulary class, which means we still need to put our primary focus on the actual writing process of different types of essay writing. However, since the main topic of this paper is the use of cohesive devices, we are not going to discuss the whole process of a writing class, For the instruction procedure in each type of essay writing, we will just take narrative essays for example for your reference. Basically, every type of essay writing instruction can be taught in the similar procedure. In the following paper, some examples of activities that we can use to enhance the correct use of cohesive devices in our writing class are also introduced.
*Tell students the qualities that a good narrative essay should have
*Learn from good examples: Q&A
*Activities
*Short paragraph practice
*Write on their own: giving checklists
* Revision/Peer Evaluation
''Narrative: Telling a Story''
In order to write a good narrative essay, cohesive devices, especially that express time and spatial sequences, are very important elements to form a coherent and easy-to-understand essay. In the following are some activities you can use to raise their awareness and train their use of cohesive devices in narrative essay writing.
''Activity 1: Comic Strip-Order the story''
//Description://
Students in each group get a piece of panel cut from a complete comic strip. Without revealing their own picture to others, students need to describe their own picture in turns, and then they have to discuss in order to put the pictures in correct order. After that, each group has to write a short story based on the comic strip. Be sure to choose comic strips that are interesting, having obvious time sequence, and also suitable for their proficiency level.
//Advantage://
#From this activity, students will have to use their speaking skills, such as describing a picture and negotiating meaning with their group members.
#Since comic strips has few words, so there will not be a huge load of texts for them to digest, instead they have to use their imagination to interpret the story and try to make the story coherent. Also they get to practice using cohesive devices from their own judgment because there are no textual connectors between each panel.
#Students will get to see the difference between picture and text from such activity.
''Activity 2: Remember Your Line''
This activity is somewhat resemble to the activity above in that they all need students to communicate in order to scramble something. The different part is that this activity involves more skills, such as kinesics and memory. Here are the steps:
#Prepare a narrative paragraph suitable for your students’ proficiency level. Cut the paragraph into individual sentences and paste them outside the classroom with another picture pasted beside each sentences.
#Divide students into groups. The number of students in the group depends on the total number of the sentences in the complete paragraph.
#Tell students what they’re going to do: They have to pick a picture first and then the teacher will give them a limited time (1 minute) to find their picture and sentence posted on the wall. Each student has to memorize their own sentence. When the time is up, they will have to go back to the classroom, and in each group the members have to tell others what their sentence is in turns. After that, they have to discuss and decide the correct order of these sentences to reconstruct the whole paragraph.
//Advantage://
#Compared to the first activity, this activity seems to be more exciting and challenging. Because there are time limits and missions for every member, every student can feel that they are important in completing the task.
''Cause and Effect Essays''
In writing cause and effect essay, of course the most important goal is to present the causal relationship of events in a clear manner. Therefore, the correct use of cohesive devices that shows causal relationships is a must-have skill for students to be successful in such type of essay writing. Here we’re going to look at some example exercises that may be beneficial to students’ use on cohesive devices.
''Exercises on Cohesive Devices''
Exercise 1:
Two phrases or sentences that show cause and effect are given and students have to use appropriate cohesive device to connect them.
e.g. :
#smoking…lung cancer…
#I slipped. /I stepped on the banana peel.
Exercise 2:
A fact is given to students and students have to write a short paragraph containing one cause, one effect, and one solution according to the given fact.
e.g. Taiwan’s birth rate is the second lowest nation in the world.
cause:
effect:
solution:
Paragraph:
Activity: Cause and Effect Tempo Game
The game is a chain game, which means students will play the game in turns. The teacher first designates a student to be the first person, the first person has to give a cause, and the second student needs to come up with an effect of the cause. Then the third student needs to use the cause and effect that the first two people said to make a complete sentence by using designated cohesive devices. Then it’s another round: The fourth student give the cause, which was the effect said by the second person. The fifth give an effect and the sixth make a complete sentence. The person who cannot come up with something to answer in time will be the loser.
Example:
#it’s raining outside.
#I cannot play basketball. Teacher: due to!
#I cannot play basketball due to the rain outside.
#I cannot play basketball.
#I feel depressed. Teacher: Therefore!
#I cannot play basketball. Therefore, I feel depressed.
//Advantage://
#It is an exciting and interesting game in that it is quick, and students have to come up with an answer in an instant.
#Teachers will be the judge, who has to focus on two things: whether there are grammatical errors and whether there is really a causal relationship between the cause and the effect students come up with. Because from the error analysis above, we get to know that some errors stem from the misuse of cohesive devices that express causal relationships to connect two ideas that do not have causal relationships. This activity can also raise the students’ awareness on such problems.
!!!Conclusion
The teaching plan and the activities are only a few examples of the type that need to be created in order to teach cohesive devices and the relationships they signal. When instruction is based on such approach rather than on the more traditional methods suggested by textbooks, students can be expected to understand what the different conjuncts signify and to learn to use them appropriately in their writing. However, teachers also need to teach students that the excessive use of cohesive devices, one for almost every sentence, will lead to an essay that is choppy and unnatural. In addition, according to Halliday and Hasan, there are other mechanisms that can help students write a coherent paragraph; cohesive device is only one of the five mechanisms. Therefore, in your instruction, be sure to take other mechanisms and factors into account. All in all, it is hoped after reading this paper, you will have more ideas on how to teach cohesive devices in an more effective manner and also make your students avoid making some common errors in using cohesive devices.
!!!References
#Timothy Sexton (2007). Lesson Plan on Using Transitional Words and Phrases. [ONLINE] Available at: http://voices.yahoo.com/lesson-plan-using-transitional-words-phrases-463776.html. [Last Accessed 20 January 14].
#Carole Bruzzano (2012). 3 Activities to Teach Transitional Words and Phrases. [ONLINE] Available at: http://www.brighthubeducation.com/lesson-plans-grades-3-5/123969-three-activites-for-transition-words-and-phrases/. [Last Accessed 20 January 14].
#Reading Rockets Editors (2013). Transition Words. [ONLINE] Available at: http://www.readingrockets.org/strategies/transition_words. [Last Accessed 20 January 14].
#Blanchard, K. & Root, C., (2010). Ready to Write Student Book 3. 3rd ed. England: Prentice Hall.
#Zamel, V., (1983). Teaching those missing links in writing. ELT Journal. 37 (1), pp.22-29
#Flocabuary (2013). From Pong to Today. [ONLINE] Available at: https://www.youtube.com/watch?v=3m894gzYQc4. [Last Accessed 20 January 14].
#Aims Community College Writing Lab (2011). Transitions. [ONLINE] Available at: http://www.aims.edu/student/online-writing-lab/tools/transitions. [Last Accessed 20 January 14].
#“The use of cohesive devices in arhumentative writing by Chinese EFL learners at differnet proficiency levels,” Linguistics and Education 23 (2012) 31-48. Wenxing Yang, Ying Sun. National Research Center for Foreign Language Education, Beijing Foreign Studies University; Yangzhou University.
#“Investigating the Use of Cohesive Devices by Chinese EFL Learners,” Justina Ong. Asian EFL Journal. National University of Signapore, Signapore.
Initially I was making a physical plates, a multi-layer disk. Then I took some time to make the prototype and encounter some difficulties, especially problems for implementing them in my experiment and participants.
{{disk1.PNG}}
2nd generation
{{disk2.PNG}}
So I made a revision, a virtual app for the experiment.
Multi-sensory input
Details of my synesthesia experience and designed device Last September I made a device to test my hypothesis on man-triggering synesthesia. The first prototype is a multi-layer plate. I even ask a CAD teacher help me with the mechanical design of the axis. Then I realized it would be better if I can lower the cost by making it as an app on smartphones. I made some calculation and see how much fund I would need to bring each of the participants one physical device. The total cost is way too much for me---even if I can make a few physical prototypes by looking for some funders and manuacturers in Taipei. (They have brillent techniques and experience in commercializing products and building them from scratch) But for now, my practical goal shall be making an app to collect the data from as much participants as possible. Since I spent some time investigating the app design, I figure out the problems of integrating eye tracking in current coding paradigm available. So I figure another way to track users' performance in syntax improvement---checking the time consumption for the task they completed. As I said, my dial can be divided into several
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
關鍵字 Dyslexia, Mental Rotation Task Gestalt theory 除了是無法把符號和聲音做連結以外， 更大的可能是因為無法正確辨認符號和圖像。 圖像有3D 和2D的， 可以做Mental Rotation Task來測試 目前只有很少的研究是往這個方向進行，所以我應該有希望 大部份都是做fmri, 基因檢測或是讀音符號加強訓練 沒有什麼繞過天生缺陷的訓練方式，但我的方式可能可以（但一定要先有基本的semantic 基礎， 不然syntax總是會跟著連動的話是無法有任何長進的） 我想我可以從積木組合下手，因為我的synesthesia 應該就是從把樂高積木和syntax, pos（part of speech）做聯想開始的 !!!書名：Dyslexia and Learning Style: A Practitioner's Handbook 作者： Tilly Mortimore 書籍簡介： The second edition of this highly successful book, Dyslexia and Learning Style builds on the latest research to extend its practical, evidence-based approach to learning style in the educational environment. Containing a response to the most recent critical insights into style theory and new suggestions for practical work for students within a range of educational contexts, this book remains essential for any teacher wishing to use awareness of style preferences to ensure that all students are helped to succeed. Recent government policy emphasises inclusive teaching for all and personalised learning. This means that all teachers need to consider how they can adapt the ways in which they teach to maximise success for all learners. The first section of this practical book provides an overview of the latest research into both dyslexia and learning style and how pupils should be helped to consider the ways in which they can take responsibility to make use of their style preferences to learn effectively. The second section provides ways in which style preferences can be established. It offers techniques to help students absorb, process and create responses to information across the curriculum. It suggests practical ways in which teachers can adapt material to make it accessible to a range of learners and provides activities to help students develop a more flexible approach to learning throughout their studies in school and higher education. #http://ericdata.com/tw/doi/?doi=10.6172/BSE.201503.4001003 台師大特教係，我直接去找論文，不用買電子版本 #一樣是台師大，沒有電子版本，超爛 (學習策略的研究與教學 1988年！) 來自 http://dspace.lib.ntnu.edu.tw//handle/77345300/13652 #台師大特教系有一些期刊和老師在作語言障礙，但我覺得他們沒有真正處理dyslexia或LD的能力，大多是學前評估而已 http://bse.spe.ntnu.edu.tw/contents/prog/prog.asp?menuID=11 #https://en.wikipedia.org/wiki/Synesthesia_in_art Citation Database: PsycARTICLES # A large sex difference on a two-dimensional mental rotation task. Collins, David W.; Kimura, Doreen Behavioral Neuroscience, Vol 111(4), Aug 1997, 845-849.http://dx.doi.org/10.1037/0735-7044.111.4.845 Abstract: Mental rotation tests require participants to identify rotated versions of a target stimulus. The Vandenberg Mental Rotations Test depicts rotations in 3-D space and typically yields one of the largest established cognitive sex differences favoring males. It is presently unclear whether this male advantage is related to the nature of rotations depicted in 3-D space or to the high level of difficulty of this task. The present study developed a new test depicting picture plane, or 2-D, rotations. When task difficulty within this 2-D test was varied, a male advantage as large as that seen on the Vandenberg test was found for the difficult component. These findings suggest that processing in 3 dimensions is not a necessary condition for a large sex difference on tests of mental rotation. (PsycINFO Database Record (c) 2012 APA, all rights reserved) *The Influence of Syntactic Category and Semantic Constraints on Lexical Ambiguity Resolution: An Eye Movement Study of Processing Chinese Homographs=詞性與語義限制對詞彙歧義解困的影響：中文歧義詞處裡的眼動研究 • 陳柏亨 ; 蔡介立 • 語言暨語言學 • 16:4 2015.07[民104.07] • 頁555-586 語文 英文 關鍵詞 詞類歧義 ; 詞彙歧義解困 ; 次要語義偏向效應 ; Lexical ambiguity resolution ; Subordinate bias effect ; Syntactic category ambiguity 分類號 800.1317 本刊其他篇目查詢 語言暨語言學 專輯 Body Experience and Language Processing 系統識別號 A15024529 來自 http://readopac3.ncl.edu.tw/nclserialFront/search/detail.jsp?sysId=0006823193&dtdId=000040&search_type=detail&la=ch&checked=&unchecked=0010006823193,0020006582597,0030006549508,0040006406539,0050005889412,0060005889417,0070005803683,0080004840366,
Mostly work in institutes of psychology or special education. Some in medical science, brain research or linguistics Ok, keep going, we will make it https://www.sinica.edu.tw/manage/gatenews/showsingle.php?_op=?rid:4392 !!台灣認知神經科學研究團隊於歐洲聯合發表漢字閱讀的大腦神經機制研究成果 發稿時間：中華民國100年10月03日 由本院語言學研究所特聘研究員曾志朗院士所領導的認知神經科學跨校研究團隊，應歐洲認知心理學會（The European Society for Cognitive Psychology, ESCoP）之邀，出席九月底於西班牙聖塞瓦斯蒂安舉行的第十七屆年會（9月29日起為期四日）。大會安排曾院士團隊在10月1日上午發表演說。團隊的六位認知神經科學專家以“Orthographic Variation and brain processes: a non-alphabetic perspective” 為題，針對漢字閱讀的大腦神經機制進行專題報告。曾院士並在大會結束當晚，連同三位國際認知神經科學界重量級學者共同舉辦「台灣之夜」（Gala Formosa Night），廣邀學者參加，研議規畫未來的研究方向。 曾院士成立之認知神經科學實驗室（Laboratories for Cognitive Neuroscience, CNL）研究團隊，成員涵蓋本院和陽明、中央、政大、師大等校研究者。團隊在曾院士和王士元院士開創的漢語文神經語言學的基礎下，利用各種腦造影技術，針對失語症的跨語言比較，到漢字閱讀的大腦運作歷程等研究議題，發表多篇重要論文。在大腦閱讀機制的理論方面，突破過去僅限於拼音文字的論述，有助建立完整的理論架構，統合人類認知系統的多樣面貌。其貢獻深具意義，並在國際上引起高度關注。 ESCoP成立於1985年，係由英荷德比國科學家發起，以與當時主導心理學、認知科學和神經科學發展走向的美國相抗衡的歐陸組織。該學會成立至今20多年，成功促進歐洲各國認知神經科學家的交流，對相關領域的發展具重要且深遠的影響，會員超過500位，分佈歐洲20餘國，包含當前國際頂尖的認知神經科學家。 曾院士為認知心理學和神經語言學專家。他多年來致力於促進台灣在心智與大腦科學研究上的發展。1990年在中正大學成立國內第一個認知科學研究中心，隨後成立陽明大學認知神經科學實驗室，再於2003年推動中央大學成立第一個認知神經科學研究所。此後建構本院腦磁波儀實驗室，整合各種腦造影儀器，並啟動各項跨校研究平台以及跨國合作關係。 此次曾院士率團隊至ESCoP報告，源於對認知神經科學研究環境的各種鋪設。2010年初，他與美國閱讀障礙基金會合作，在美國兒童健康與人類發展研究院部（NICHD）的支助下，於台灣舉辦第11屆「卓越大腦國際研討會」，進行「閱讀障礙的跨語言比較研究：書寫系統對大腦 / 基因 / 行為關連性的影響」討論。會議結果編纂成書：Dyslexia Across Languages:Orthography and the Brain-Gene-Behaviour Link（Brookes, 2011）。基於此一跨國合作成果，續與美、日、以色列、芬蘭、印度等國研究者探討是否有跨語言的認知障礙以及共通的大腦神經基礎，並於去年九月在西班牙舉行「透過跨國合作探討青少年及成人學習第二語識字的認知神經因素研討會」第一次會議，今年初在台灣舉辦第二次會議。與會的西班牙「巴斯克認知、大腦和語言研究中心」（Basque Center）主任Manuel Carreiras對台灣認知神經科學團隊的表現印象深刻，他身為ESCoP科學委員會成員，特別邀請曾院士帶領團隊在ESCoP年會做專題報告。曾院士及團隊隨後向ESCoP科委會提交計畫和摘要，經審查通過，獲邀在大會上發表研究成果。 曾院士強調：「這是一個很好的機會，向歐洲認知神經科學界展示台灣團隊在漢字閱讀時大腦機制研究的實力和成果！」ESCoP會後，將在當地舉辦第三次的第二語識字研討會，並由曾院士、美國耶魯大學哈斯金實驗室主任Ken Pugh、以色列耶路撒冷希伯來大學教授Ram Frost和Manuel Carreiras共同舉辦「台灣之夜」（Gala Formosa Night）。 由曾院士帶領專題報告，報告人依序為李俊仁副教授（台灣師範大學）、李佳穎副研究員（中央研究院）、郭文瑞副教授（陽明大學）、吳嫻副教授（中央大學）、蔡介立助理教授（政治大學）。此外，該團隊成員阮啟弘教授、鄭仕坤副教授、 張智宏助理教授、謝宜蕙助理教授（中央大學）、鄭谷苑副教授（中原大學）亦在大會發表各研究專長的論文和海報。 Related Websites: http://www.bcbl.eu/events/escop2011/conference/verdetalle/1301993720 http://www.bcbl.eu/events/escop2011/ http://www.escop.eu/ 新聞聯絡人: 李如蕙，中央研究院腦磁波儀實驗室 rose@gate.sinica.edu.tw (Tel) +886-2-3356-6557 黃復君 ，中央研究院總辦事處公共事務組pearlhuang@gate.sinica.edu.tw (Tel) +886-2-2789-8820 (Fax)886-2-2782-1551 (M)0912-831-188 林美惠，中央研究院總辦事處公共事務組mhlin313@gate.sinica.edu.tw (Tel) +886-2-2789-8821 (Fax)886-2-2782-1551 (M)0921-845-234 發稿單位 : 公共事務組 最後更新：中華民國100年10月03日 Copyright © 2008. 中央研究院
These links are critical #http://www2.le.ac.uk/offices/accessability/staff/accessabilitytutors/information-for-accessability-tutors/how-does-dyslexia-impact-on-the-writing-process-and-how-does-the-assessed-work-cover-sheet-work !!From Mendeley Hi Howard, Here are personalised suggestions for articles to read based on your Mendeley library *Writing in dyslexia: Product and process Frøydis Morken, Turid Helland Dyslexia (2013) Research on dyslexia has largely centred on reading. The aim of this study was to assess the writing of 13 children with and 28 without dyslexia at age 11 years. A programme for keystroke logging was used to allow recording of typing activity as the children performed a sentence dictation task. Five sentences were read aloud twice each. The task was to type the sentence as correctly as possible, with no time constraints. The data were analysed from a product (spelling, grammar and semantics) ... + Save reference *The Influence of Spelling Ability on Handwriting Production: Children With and Without Dyslexia Emma Sumner, Vincent Connelly, Anna L. Barnett Journal of Experimental Psychology: Learning, Memory , and Cognition (2014) Current models of writing do not sufficiently address the complex relationship between the 2 transcription skills: spelling and handwriting. For children with dyslexia and beginning writers, it is conceivable that spelling ability will influence rate of handwriting production. Our aim in this study was to examine execution speed and temporal characteristics of handwriting when completing sentence-copying tasks that are free from composing demands and to determine the predictive value of spell... + Save reference *The socio-emotional needs of children with dyslexia in different educational settings in Ireland Ann Marie Casserly Journal of Research in Special Educational Needs (2013) This paper reports on a four-year research project examining the experiences of children with dyslexia in mainstream schools and reading schools/classes. The focus of this paper is on the socio-emotional effects of dyslexia on a group of children attending a reading school/class for a specific duration before returning to mainstream. The findings suggest that while the primary focus of attending such a placement is to attain greater levels of literacy, other gains such as increased positive s... + Save reference Check some others in my mendeley. I figured out that those paid databases do not necessary have the best papers.
http://dyslexiamylife.org http://dyslexiamylife.org/grammar.htm (somehow similar to my geometric grammar teaching) http://www.dls.ym.edu.tw/neuroscience/dyslexia_c.html https://eida.org/knowledge-and-practices/ (IDA , the main entrance for dyslexia academic and general resources ) http://www.readingrockets.org/article/whats-normal-whats-not-acquiring-english-second-language http://www.ldonline.org/ldbasics Adult Dyslexia http://www.learningrx.com/dyslexia-symptoms2.htm http://www.independent.co.uk/news/people/jennifer-aniston-on-being-diagnosed-with-dyslexia-as-an-adult-i-thought-i-wasnt-smart-9994408.html
For designing circuits #http://edu.deltamoocx.net/course/view/courseList?order=&c=13
Saccade : scanpath, saccade latency, fixation duration Categorical perception Overt attention = eye movement Covert attention = without moving eyeballs but still processing thoughts Ballard (1997) the process of indexing and temporarily stored needed information (stacking colored blocks) -> how about my dial plate? Richardson and Spivey (2000) : spatial indexing even in 6 months old infants - visual motor Yarbus, 1967, painting, top-down, indication will change the way you perceive the pictures
Dual task for on-line processing, hard words. (beep burst while reading) 這篇我沒有pdf，要再去討 Dual task的問題是會有practicing的問題，幾次以後可能就習慣了 或是依據觀看的內容或圖片，dual task的效能就很差 因為圖片沒有sequence，也會受到構圖交叉點的影響造成凝視的時間改變很大 Integration of visual and linguistic information in spoken language comprehension (Tanenhaus et al., 1995, Science) 這麼強大的paper，只有兩面而已！因為鐵證如山！ Types of eye movements: Vestibular Vergence （沒拼錯）：其實就是兩隻眼的視線交叉點 binocular coordination Pursuit Saccade: high acceleration when just starting or stopping the eyeball movement Fixational movement: tremor , drift, microsaccade Trembling of the eye (Jurin, 1738) Wandering of the gaze to prevent retinal fatigue (Helmholtz, 1860) 網頁閱讀 排版 圖畫利用亮暗去強迫人注視某區 Expert / novice comparision 這算是最明顯又簡單的，在路徑圖上可以比較和發現訓練前後的差異 我可以試試看經過我的裝置訓練以後，訓練前後的閱讀方式差異。（速度反而好像不是那麼重要了？或是解析閱讀的細部程序比較有意義） 比較字體的閱讀效率也可以！ "The raven test" space Math solving (geo questions) Language mediated anticipatory movement while reading
Re-fixation Re-read If the word is way too long to be landed at the first eye movement during reading: Undershoot Overshoot Boundary = parafoveal priming Fast priming = foveal priming
here's the investgators and the projects http://emrlab.nccu.edu.tw/research.html http://emrlab.nccu.edu.tw/publication.html
two clips here
{{2016-05-26_14-22-10.png}}
and
{{2016-05-26_14-22-30.png}}
check them on the original paper
I need a new pipe to help my bike work well. The original one keeps overheating the engine. I may also need a new engine set sooner or later. Here's the reference link for the pipes: * https://tw.bid.yahoo.com/item/【機車大小事】KR-手工白鐵加速管-GY6-豪邁-迪爵【排氣-100031867365 * http://forum.jorsindo.com/thread-2393686-2-1.html *http://www.zclub.com.tw/discuz/thread-104300-1-1.html * http://blog.udn.com/hsueh1951/50292869 Here's the engine set and case: *http://www.td-motor.com.tw/zh/product/cate_7058_1.html * engine manual http://odobiker.bdcweb.org/phpBB3/viewtopic.php?f=4&t=7850
codes and apps and papers #http://thume.ca/projects/2012/11/04/simple-accurate-eye-center-tracking-in-opencv/ #http://www.slideshare.net/yyliu38?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview # http://leepsyclinic.com/2016/03/emdr-introduction.html
Modularized, atomized grammar and concepts. We need Swadesh list and other modification of it to make this ontological base more usable for students in modern society. Aim high, but shoot low. I have a dream in building a construction mining program, and an ontological base for language learner, and testify the synesthesia for my geometrical grammar. But I have to start it humbly. My thesis shall only be one small step for these goals. A real breakthrough for researchers and learners like me. I chose my research question in the following manner: It has to be finished within 1~ 2 years. It has to be connected to my previous research interests. It has to be a stepping stone for my further study in relevant areas. It has to be practical and usable for real life and real people, immediately. It has to be a profit-potential product so I can live on that. It has to be programmable and modularized for further analysis and application. For the reasons above, I decided to make "Dyslexia therapy installment by geometrical grammar" as my master thesis. I chose it from the following candidates: • Connotation and mining • Testifying Geometrical grammar • Synesthesia on syntax • Dyslexia therapy installment by geometrical grammar: a quantitative research • Automatic Pattern learner • Ontology base for essential words (modified Swadesh list): vocabulary teaching • SAI development through western pop music: a narrative research And for practical reasons I have to find at least one instructor who is in NCCU, and probably some other relevant scholars and researchers in other institutes. They are professed in various yet connected areas: computer science, linguistics, TESOL, therapist for dyslexia, fMRI brain researchers, app makers, novelist…and so on.
*Embodiment, concept,metapho (figurative language), thoughts, cross domain mapping, language
*Metonymy, contiguity (next to each other in the same domain)
*Metaphor, cross domain , p17
*Concept Blending theory, with four spaces. 代喻。轉諭。P25
*Lexical semantics
**Vocabulary relatedness
*Mental spaces, 中正大學張榮新老師
*De Saussure, symbolic thesis
**Abstraction 抽象化後才能出現pattern & schema
*Post hoc quality, lack of empirical evidence
**Inventory (repostrotory), entrenchment, rountine, become a unit
think about Stroop test to validate my experiment
{{2016-05-05_10-47-51.png}}
Is Gestalt theory part of multi-sensory input?
{{2016-05-05_10-48-10.png}}
Construction grammar approach can explain why:
There are wide variation on human languages, but they all try to express similar messages
"Constructions are stored pairings of form and function, including morphemes, words,
idioms, partially lexically f lled and fully general linguistic patterns. " (from Evans 2007 the cognitive reader, p590)
問題是，CG是否只以analytic language作研究背景？目前所看到的幾乎都是這樣的完美範例
{{2016-05-26_13-26-16.png}}
2015/3/19 上午 10:34 - 畫面剪輯
Construction (construction grammar 構式模組)是 derivational 的對立面（generative grammar）
Goldberg論證CG確實可以說得通，不一定只有chomsky的衍生語法式說得通的構句結構
"the city was destroyed" =/= "the destruction of the city"
表面上看起來是paraphrase，但事實上他們不是同一個句子(Chomsky claimed they were derived from the same sentence. But Goldberg proved they were not! )
Chomsky看form and syntax. Williams 看meaning來證明
"Input syntax" : possible inputs and outputs shall be symmetric
{{2016-05-26_13-42-42.png}}
2015/3/19 上午 10:50 - 畫面剪輯
{{2016-05-26_13-44-11.png}}
2015/3/19 上午 10:53 - 畫面剪輯
（這有16個範例，基本上就是在論述幾種construction和他們的paraphrase的差異。這幾種construction的主要動詞其實有隱含很大的差異，所以絕對不是像generative grammar belivers所宣稱的那樣，所有句子都是同一種prototype改變而來的。）
他們有幾個概念的固定要素：Transfer, receipient
基本上處理這些問題有幾個方案：
*Derivation
*Lexicon entries (ontology)
*Construction 等等
construction是最後勝出的，這就是Goldberg在這裡作的論證，舉證了其他學派所解釋失敗或自相矛盾之處。
Generation 是有其弱點：沒有empirical data/motivation 支持這些構句是透過generalize 來的
而CG雖然有generative grammar的優點，但沒有他的缺點
接著開始解釋to, for 等等的construction
{{2016-05-26_13-45-07.png}}
2015/3/19 上午 11:03 - 畫面剪輯
先講幾個term的提點：
slice這個字需要三個論元 argument （主、賓、工具 with a knife）
但工具的那項論元在句法上是adjunct（附屬語）這樣的概念，用modifier這樣的說法是從功能上來定義。
prdicate述語 也是一個句法上的概念
<English verb class and alternation> "Lebvin, 199x" 這本書去找找看電子檔案，有許多動詞的alternation的範例
{{2016-05-26_13-47-21.png}}
2015/3/19 上午 11:26 - 畫面剪輯
"""
Evidence: Locative alternations fail
(34)開始用output的方式來論證
34, 35反了，改一下
有的動詞被稱為oblique（偏格、斜位），表示搭配他使用的介係詞一定要出現
"skewed" input
*2-4 yrs的小孩學習常常是verb by berb，所以把每個動詞當成有自己的sov, svo, vso次序。但最終很容易改為svo
*License/Sanction = top-down + bottom-up
到p55 了： "go tell your mom…." = "go VP" form, semi-productive, semi idiosyncracy
#別讓xx不開心
#"大學生"了沒？
Tomasello "verb island" word order p58 (svo, sov) -> constrcution = svo, vo
Generalization starts from 3~3.5 yrs old
Zach the child （用what happened 來套他敘述一個svo句 ）
其實我的方圓方就是一種構式假設：特定用於analytic language（如果是膠著語言，他的構式會是另外一種樣子。但我沒學過任何一種膠著語言，所以我還無從設計給他們用的gg rules）
''簡單的說，其實我想證實synesthesia可以人工訓練、可以和構式的創造(the creation of a construction)一起被學習
如果我要設計類似的東西，要去看Tomasello的methodology和設計實驗''
"Rule-list fallacy" 兩種方式可以共存（top-down 和 bottom-up ）
舉例來說，一個schema " goVingPP"
會有substantative 的狀況: go tell it to the mountain
Partially filled: Go Vpp PP
Schematic: [V NP1 NP2]
Nick Allis "explict instruction is important so that we can make L2 learners starts their "guided constructino" through their teacher"
Exemplars -> (through abstraction) -> patterns
Petruck : frame 1996
Ethnosyntax: cultural unit
"""
E = e1+e2, e1 happens before e2 But this definition results in some obvious problems Manner verb & result verb are different Goldberg 似乎對semantic避重就輕，採用framework這樣的東西來表示verb語意的來源。 因為verb的能量肯定來自semantic 關鍵字"semantic frame" 作者filmore "cognitive semantics" Conventional frame constraint (and cultural units) With the process of combining known steps, you are able to imagine so that you can comprehend the movement (the meaning of the newly learned verb) 他提供了五種最基本的argement structure 1. Ditransitive 2. Caused-motion 3. Resultative 4. Transitive 5. Way construction （比較特別）Si V[possi, way] Oblique 動詞和構式組合的時候，有三個限制： • 要有causally linked events • 要有precondition • And what? (compatibility with the construction: the semantic meaning and theta role of the verb must meet the requirement of the construction) Eg. He writes his way to his freedom Write 符合了以上三個限制，即使這種使用非常新穎，但我們還是能理解且符合使用方式 Q: is it possible we may create new frameworks by meeting the above requirements? Frames, verbs and constructions Goldberg 一直用"label" 來取代 lexicalized 這個意思. But why? My proposal is probably dealing with how to parsing articles efficiently with g.g. rules, Gestalt,, CFG, and construction (along with some semantic frame) This might be limited to analytic language at first, but promising the extenstitivy in other language """ 要講verb+construction，就不能不說verb帶來的semantic frame 和 Lakoff的categorization 原理 也許在論文的輸血順序上，要考慮篇幅和不要拖泥帶水，必須要討論到categorization，但不能太多 更多的篇幅可能必須先分出別的前導論文 g.g. rules, construction, framework (how about L1 and L2 transfer in L2 learning?) CFG, schematic & semantic structures Explain 'what is the verb doing here in this construction?' "….particular verbs related to argument structure constructions to designate novel events that do not evoke any preexisting semantic frame." 在conclusion 最後一句 """
The very principles and practical suggestions. #http://www.slideshare.net/lis186/20110820titanium-mobile #http://www.slideshare.net/kevin760612/jsdc2013-titanium
On deaf and hearing problems #http://incubation.ntunhs.edu.tw/tab/545/id/93
It is often commented that the characteristics of dyslexic students’ written work might equally be found in the work of a non-dyslexic student. The problems with composition that students with dyslexia experience may be accompanied by difficulty with spelling and handwriting. Students may try to choose words they can spell rather than those they want to use. Those with short-term memory problems may have difficulty transcribing a mentally composed sentence, thus much backtracking is required which disrupts the flow of thought. When this is coupled with reading difficulties, it is easy to see why written tasks are laborious. The techniques of editing and refining demand extra stamina and time, and need to be done in separate stages. To be effective, this requires good pre-planning and time management. Paradoxically these may be the very skills that students with dyslexia may find particularly challenging.
Those students who are familiar with their own problems and are used to academic study are often highly disciplined to the task and start work on assignments as soon as they receive them. Others will need some explicit help in pacing themselves and in the understanding of the separate stages of the writing process. It is also worth noting that many of the errors will not be picked up by a standard spell checker or, in some cases, by the student’s proof reading.
In any event, it is likely that the final outcome of the work presented may not reflect the time and effort that has gone into its preparation.
When giving feedbacks to students, it may be useful to bear the following points in mind:
*students need to understand why they have gained or lost marks and if spelling, punctuation and grammar are considered an essential part of the brief, it is important to let them know this in advance;
*prompt, legible and detailed feedback is especially helpful. Dyslexic students need encouragement on what they have achieved and explicit information about how they can improve their work;
*feedback about exam performance is as important as feedback after coursework submission; it helps tutors and students to ascertain the reasons for possible low marks or failure. It is important for all students with a SpLD to realise the extent to which low marks are due to a lack of detailed knowledge or to an inability to reflect their knowledge adequately in writing;
*it is helpful to identify the type (what kinds) of errors that have been made in the work, particularly if these can be pointed out in detail in a small section. Providing correct spellings of subject specific words is very useful;
*in addition a common perception is that dyslexic students have fluency in oral language but difficulty with written language. However some dyslexic students also experience spoken language difficulties, such as word finding, hesitations, mispronunciations and incomplete sentences. This should be taken into account when assessing oral presentations.
Variations in processing difficulties and the effects of secondary factors, such as environment and self-esteem, contribute significantly to the individual profile. Many students may have developed excellent ‘compensation’ strategies.
Emphasis is usually given to problems with written work. However, writing is only one aspect of the range of difficulties reported by students. These can include some or all of the following:
*listening and taking notes in a lecture; this is why many students are provided with digital recorders and microphones so that they can concentrate on listening and understanding rather than writing. In some cases students may also have a note-taker;
*limitations in working memory, resulting in the need to go over texts many times to remember and understand them; this is one of the reasons why extra time is given in examinations;
*handwriting which may be extremely slow, lacking automaticity, which contributes to spelling errors and/or word omissions;
*pronunciation of polysyllabic and/or unfamiliar words;
*slow speed of reading; word omissions, problems making sense of print without substantial re-reading; this is another reason why extra time may be given in exams;
*difficulties in reading aloud;
*tendency to misinterpret or miscopy complex written or spoken instructions;
*word recall difficulties (spoken and written); often giving the appearance of immature language in relation to complexity of ideas;
*estimating time, both in managing deadlines and for daily routines;
*left/right confusion, leading to orientation difficulties, e.g. in the library;
*fatigue as a result of the extra concentration and energy needed to meet both the literacy and non-literacy requirements of the HE environment;
*difficulties with basic maths and statistics; this particularly affects students who encounter mathematical content within a non-mathematical discipline.
Dyslexia is the most common specific learning difficulty in HE but you may meet students who are dyspraxic, dyscalculic or who also have a pervasive developmental disorder such as Asperger syndrome or autism. Additionally, some students will have a combination of these difficulties and disabilities.
http://www2.le.ac.uk/offices/accessability/staff/accessabilitytutors/information-for-accessability-tutors/how-does-dyslexia-impact-on-the-writing-process-and-how-does-the-assessed-work-cover-sheet-work
This is a typical case for printing out /showing/ returning a desired a result. The answer is "sweater".
```
// Setup
var outerWear = "T-Shirt";
function myOutfit() {
// Only change code below this line
var uuterWear = "sweater";
// Only change code above this line
return outerWear;
}
myOutfit();
```
check FCC on
https://www.freecodecamp.com/challenges/global-vs-local-scope-in-functions#?solution=%0A%2F%2F%20Setup%0Avar%20outerWear%20%3D%20%22T-Shirt%22%3B%0A%0Afunction%20myOutfit()%20%7B%0A%20%20%2F%2F%20Only%20change%20code%20below%20this%20line%0A%20%20%0A%20%20var%20outerWear%20%3D%20%22sweater%22%3B%0A%20%20%0A%20%20%2F%2F%20Only%20change%20code%20above%20this%20line%0A%20%20return%20outerWear%3B%0A%7D%0A%0AmyOutfit()%3B%0A
defa? I haven't collected anything
!! (This is a resource I collect from a synesthesia researcher) A full and up-to-date list of Jamie Ward's publications can be found here http://scholar.google.co.uk/citations?user=7PaqoJcAAAAJ&hl=en I conduct research in human cognitive neuroscience using methods such as neuropsychology, fMRI, TMS and EEG. The specific focus of my present research can be divided into three inter-related strands that all relate to individual differences in perceptual experience, and the relation between perception and other aspects of cognition (including memory and social cognition). Synaesthesia and the multi-sensory brain My research group is one of the world-leading centres for studying the phenomenon of synaesthesia (hearing flashes, tasting words, coloured music, etc.). The research is revealing how individual differences in conscious perceptual experiences are linked to neurobiological differences and how they relate to cognition more broadly. Our present research examines how synaesthesia is linked to memory function and perceptual sensitivity. Further information can be found at http://www.sussex.ac.uk/synaesthesia/ !!Representative recent publications: #Banissy M.J., Tester, V., Muggleton, N.G., Janik, A.B., Davenport, A., Franklin, A., Walsh, V., & Ward, J. (2013). Synesthesia for Color Is Linked to Improved Color Perception but Reduced Motion Perception, Psychological Science, 24(12), 2390 - 2397. #Ward, J. (2013). Synesthesia. Annual Review of Psychology, 64, 49-75 #Rothen, N., Meier, B., & Ward, J. (2012). Enhanced memory ability: Insights from synaesthesia. Neuroscience and Biobehavioral Reviews, 36, 1952–1963. #Ward, J., Jonas, C.N., Dienes, Z., & Seth, A.K. (2009). Grapheme-colour synaesthesia improves detection of embedded shapes, but without pre-attentive “pop-out” of synaesthetic colour. Proceedings of the Royal Society of London B, 277, 1021-1026 !!Social neuroscience of vicarious perception #My research in this area has focussed on how observing bodily states on other people (such as touch, pain and itch) interfaces with neural representations of our own body. This includes atypical experiences (e.g. people who literally experience the pain of others) as well as more commonplace ones (e.g. the rubber hand illusion). Understanding vicarious perception will provide novel insights in to the mechanisms of social cognition (e.g. empathy, perspective taking). !!Representative recent publications: #Alrajih, S. & Ward, J. (2014). Increased facial width-to-height ratio and perceived dominance in the faces of the UK's leading business leaders. British Journal of Psychology, 105 (2), 153–161 #Goller, A.I., Richards, K., Novak, S. & Ward, J. (2013). Mirror-touch Synaesthesia in the Phantom Limbs of Amputees. Cortex, 49, 243-251 #Holle, H., Warne, K., Seth, A. K., Critchley, H. D., & Ward, J. (2012). The neural basis of contagious itch and why some people are more prone to it. Proceedings of the National Academy of Science, USA, 109, 19816–1982 #Banissy, M.J., Sauter, D., Ward, J., Warren, J., Walsh, V., & Scott, S.K. (2010) Suppressing sensorimotor activity modulates the discrimination of auditory emotions but not speaker identity. Journal of Neuroscience, 30, 13552–13557. !! Sensory loss, sensory substitution and cross-modal plasticity Normal neural pathways connecting the senses may become distorted or amplified by sensory loss (e.g. blindness) such that the ‘visual’ cortex responds to sound and touch. One aspect of our current research examines the nature of this plasticity and how it reverses following restoration of sight. Another aspect examines how technology (sensory substitution devices) can be used to represent the visual world via sound and touch to the visually impaired (see http://www.sussex.ac.uk/rmphillips/). Finally, phantom sounds (in tinnitus) may be modulated by the somatic system in some people (e.g. moving their eyes or jaw affects the tinnitus) suggesting cross-modal plasticity of a somatic-auditory pathway in these individuals. !!!Representative recent publications: #Ward, J., Vella, C., Hoare, D.J., & Hall, D.A. (in press). Subtyping somatic tinnitus: A cross-sectional UK cohort study of demographic, clinical and audiological characteristics. PLoS ONE #Ward, J. & Wright, T.D. (2014). Sensory substitution as an artificially acquired synaesthesia. Neuroscience and Biobehavioral Reviews, 41, 26-31. #Wright, T.D., Margolis, A., & Ward, J. (in press). Using an auditory sensory substitution device to augment vision: Evidence from eye movements. Experimental Brain Research #Hamilton-Fletcher, G., & Ward, J. (2013). Representing colour through hearing and touch in sensory substitution devices. Multisensory Research, 26 (6), 503-532 !!!Selected publications Article #Gould van Praag, Cassandra D, Garfinkel, Sarah, Ward, Jamie, Bor, Daniel and Seth, Anil K (2016) Automaticity and localisation of concurrents predicts colour area activity in grapheme-colour synaesthesia. Neuropsychologia. ISSN 0028-3932 #Gould van Praag, Cassandra D, Garfinkel, Sarah, Ward, Jamie, Bor, Daniel and Seth, Anil K (2016) Automaticity and localisation of concurrents predicts colour area activity in grapheme-colour synaesthesia. Neuropsychologia. ISSN 1873-3514 #Terhune, Devin B, Luke, David P, Kaelen, Mendel, Bolstridge, Mark, Feilding, Amanda, Nutt, David, Carhart-Harris, Robin, Ward, Jamie, Unset and Unset (2016) A placebo-controlled investigation of synaesthesia-like experiences under LSD. Neuropsychologia. ISSN 0028-3932 (Accepted) #Ward, Jamie (2016) The lived experience of mirror-touch synaesthesia: a qualitative investigation of empathy and social life. Journal of Consciousness Studies. ISSN 1355-8250 (Accepted) # Ward, Jamie, Mensah, Ajua and Jünemann, Kristin (2015) The rubber hand illusion depends on the tactile congruency of the observed and felt touch. Journal of Experimental Psychology: Human Perception and Performance. ISSN 1939-1277 # Vanneste, Sven, Ward, Jamie, Vella, Claire, Hoare, Derek J and Hall, Deborah A (2015) Subtyping somatic tinnitus: a cross-sectional UK cohort study of demographic, clinical and audiological characteristics. PLOS ONE, 10 (5). e0126254. ISSN 1932-6203 # Ward, Jamie and Banissy, Michael J (2015) Explaining mirror-touch synesthesia. Cognitive Neuroscience, 6 (2-3). pp. 118-133. ISSN 1758-8936 # Jones, Catherine L, Minati, Ludovico, Nagai, Yoko, Medford, Nick, Harrison, Neil, Gray, Marcus, Ward, Jamie and Critchley, Hugo D (2015) Neuroanatomical substrates for the volitional regulation of heart rate. Frontiers in Psychology. ISSN 1664-1078 # Wright, Thomas D, Margolis, Aaron and Ward, Jamie (2015) Using an auditory sensory substitution device to augment vision: evidence from eye movements. Experimental Brain Research, 233 (3). pp. 851-860. ISSN 0014-4819 # Eccles, J A, Garfinkel, S N, Harrison, N A, Ward, J, Taylor, R E, Bewley, A P and Critchley, H D (2015) Sensations of skin infestation linked to abnormal frontolimbic brain reactivity and differences in self-representation. Neuropsychologia, 77. pp. 90-96. ISSN 0028-3932 # Pfeifer, Gaby, Rothen, Nicolas, Ward, Jamie, Chan, Dennis and Sigala, Natasha (2014) Associative memory advantage in grapheme-color synesthetes compared to older, but not young adults. Frontiers in Psychology, 5 (696). ISSN 1664-1078 # Gould, Cassandra, Froese, Tom, Barrett, Adam B, Ward, Jamie and Seth, Anil K (2014) An extended case study on the phenomenology of sequence-space synesthesia. Frontiers in Human Neuroscience, 8 (433). ISSN 1662-5161 # Alrajih, Shuaa and Ward, Jamie (2014) Increased facial width-to-height ratio and perceived dominance in the faces of the UK's leading business leaders. British Journal of Psychology, 105 (2). pp. 153-61. ISSN 0007-1269 # Anderson, Hazel P, Seth, Anil K, Dienes, Zoltan and Ward, Jamie (2014) Can grapheme-color synesthesia be induced by hypnosis? Frontiers in Human Neuroscience, 8. p. 220. ISSN 1662-5161 # Ward, Jamie and Wright, Thomas (2014) Sensory substitution as an artificially acquired synaesthesia. Neuroscience and Biobehavioral Reviews, 41. pp. 26-35. ISSN 0149-7634 # Holle, Henning, Banissy, Michael J and Ward, Jamie (2013) Functional and structural brain differences associated with mirror-touch synaesthesia. NeuroImage, 83. pp. 1041-1050. ISSN 1053-8119 # Banissy, Michael J, Tester, Victoria, Muggleton, Neil G, Janik, Agnieszka B, Davenport, Aimee, Franklin, Anna, Walsh, Vincent and Ward, Jamie (2013) Synesthesia for color is linked to improved color perception but reduced motion perception. Psychological Science, 24 (12). pp. 2390-2397. ISSN 0956-7976 # Rothen, Nicolas, Scott, Ryan B, Mealor, Andy D, Coolbear, Daniel J, Burckhardt, Vera and Ward, Jamie (2013) Synesthetic experiences enhance unconscious learning. Cognitive Neuroscience, 4 (3-4). pp. 231-238. ISSN 1758-8936 # Rothen, Nicolas, Seth, Anil K, Witzel, Christoph and Ward, Jamie (2013) Diagnosing synaesthesia with online colour pickers: maximising sensitivity and specificity. Journal of Neuroscience Methods, 215 (1). pp. 156-160. ISSN 0165-0270 # Wright, Thomas and Ward, Jamie (2013) The evolution of a visual-to-auditory sensory substitution device using interactive genetic algorithms. Quarterly Journal of Experimental Psychology, 66 (8). pp. 1620-1638. ISSN 1747-0218 # Goller, Aviva I, Richards, Kerrie, Novak, Steven and Ward, Jamie (2013) Mirror-touch synaesthesia in the phantom limbs of amputees. Cortex, 49 (1). pp. 243-251. ISSN 0010-9452 # Maus, Gerrit W, Ward, Jamie, Nijhawan, Romi and Whitney, David (2013) The perceived position of moving objects: transcranial magnetic stimulation of area MT+ reduces the flash-lag effect. Cerebral Cortex, 23 (1). pp. 241-247. ISSN 1047-3211 # Holle, Henning, Warne, Kimberley, Seth, Anil K, Critchley, Hugo D and Ward, Jamie (2012) Neural basis of contagious itch and why some people are more prone to it. Proceedings of the National Academy of Sciences, 109 (48). pp. 19816-18821. ISSN 0027-8424 # Banissy, Michael J, Cassell, Josephine E, Fitzpatrick, Sian, Ward, Jamie, Walsh, Vincent X and Muggleton, Neil G (2012) Increased positive and disorganised schizotypy in synaesthetes who experience colour from letters and tones. Cortex, 48 (8). pp. 1085-1087. ISSN 0010-9452 # Jewanski, Jörg, Simner, Julia, Day, Sean A and Ward, Jamie (2011) The development of a scientific understanding of synesthesia from early case studies (1849-1873). Journal of the History of the Neurosciences, 20 (4). pp. 284-305. ISSN 0964-704X # Jonas, Clare N, Taylor, Alisdair J G, Hutton, Sam, Weiss, Peter H and Ward, Jamie (2011) Visuo-spatial representations of the alphabet in synaesthetes and non-synaesthetes. Journal of Neuropsychology, 5 (2). pp. 302-322. ISSN 1748-6645 # Jones, Catherine L, Minati, Ludovico, Harrison, Neil A., Ward, Jamie and Critchley, Hugo D. (2011) Under pressure: Response urgency modulates striatal and insula activity during decision-making under risk. PLoS ONE, 6 (6). ISSN 1932-6203 # Banissy, Michael J, Stewart, Lauren, Muggleton, Neil G, Griffiths, Timothy D, Walsh, Vincent Y, Ward, Jamie and Kanai, Ryota (2011) Grapheme-color and tone-color synesthesia is associated with structural brain changes in visual regions implicated in color, form, and motion. Cognitive Neuroscience, 3 (1). pp. 29-35. ISSN 1758-8928 !!!Conference or Workshop Item # Hamilton-Fletcher, Giles, Obrist, Marianna, Watten, Phil, Mengucci, Michele and Ward, Jamie (2016) “I always wanted to see the night sky”: blind user preferences for Sensory Substitution Devices. In: ACM CHI Conference on human factors in computing systems (CHI 2016), May 7-12, 2016, San Jose, CA, USA. (Accepted) # Mavromihelaki, Evangelia, Eccles, Jessica, Harrison, Neil, Grice-Jackson, Thomas, Ward, Jamie, Critchley, Hugo and Mania, Katerina (2014) Cyberball3D+: a 3D serious game for fMRI investigating social exclusion and empathy. In: Games and Virtual Worlds for Serious Applications (VS-GAMES), 2014 6th International Conference, 9 - 12 September 2014.
當學生無法在一個完善的學習資源中學習時 (例如在視覺方面像是教課書、影片或者錄影帶；在觸覺方面像動手操作的活動；在聽覺方面像錄音帶或課堂授課；在運動方面像團體遊戲) ，他們並沒有發揮他們的能力去成就什麼，這個問題已有許多研究提出一些調整學生學習方式的重點。此外，學生的學習方式若能更和老師的教學方式配合，學生的成績就能表現的更好(Dunn, R., Griggs, Olson, Gorman, & Beasley, 1995) 。 R. Dunn 和 K. Dunn (1992) 發現若對學生的學習方式與理解模式了解的話會對學生有好處。因為不僅僅很多學生被不同的學習方式影響，而且有很多人的學習因素是為了增加成績上的成就。 R. Dunn 和 Griggs (1995) 相信一個學習方式的模式 (Learning Style Model) ︰ #他們的直接環境 (聲音、光線、溫度、桌椅之類的 設計) 。 # 他們自己的情緒 (像動機、堅持、責任、或他們自己想 要做的事情) 。 #他們的社會傾向 (像傾向於自己學習、或不同大小的團 體學習) 。 #他們的心理特質 (藉由音效視覺活動運動之類而得到的知覺強度) 。 #他們做事方法的傾向 (整體的/分析的、保守的/積極的、衝動的/反省的) 。 學生如何是被這五項因素的某幾項互相影響，接下來將作更深入的解釋。當關連到直接的環境時，僅管很多學生專注於困難的知識時要求一個安靜的環境，也有其他的學生可以在有聲音的環境下學習(Pizzo, as cited in Dunn, R. & Dunn, K., 1992)。此外，很多人認為在光線充足的環境下可以更專心，但有些人則認為柔合的光線比較好。螢光筆的顏色對某些學習者會造成過度的刺激與過度反應 (Dunn, R., Dunn, K., & Price, 1989) 。 其他影響學習的環境因素包含溫度與桌椅之類的設備某些學生在較溫暖的環境裡可以表現的很好 (Hart, 1981)。某些人則喜歡在木質的、塑膠的、或者鐵質的椅子上學習，但對其他人而言這可能是不舒服的椅子而導致他們的學習效果變差。 學生的自我情緒也會影響他們的學習。從他們內在的動機的角度而言，對於作業堅持完美的學生來說，他們表現的行為與工作會給予負責的態度與能力，或者他們自己想要做某一件事情，這動機都扮演如何達到最佳學習的一個重要角色 (Dunn, R., & Dunn, K., 1992)。 社會因素也可以影響學習。老師必須知道在各種不同的條件下學生的學習模式，這可以提供學習的變數或抑制學習的變數，其中的方式可以是自己在兩人一組或一群人為單位的團體中學習，自己也可以成為小組的負責人來學習，或者是站在反對的立場來學習(Dunn, R., & Dunn, K., 1992) 。 心理特質是另一個學習模式的因素，這也能夠影響學生的學習。這些特質指向學生何時與如何學習最好。了解學生的心理特質將可讓老師藉由學生的知覺去幫助學生。這些特質包含時間感、外在刺激、能力水準、用功能力。例如老師可以鼓勵學生在最佳的時間用功，這個時間很可能是他們去上課的早晨，中午的研究室，放學後或睡覺前。學生對外在的刺激也有不同的反應，當學生在用功時有些學生喜歡一邊吃一邊用功，有些學生可能在體能上有強烈的知覺，假如讓他們在課堂上走動，不要限制他們只能在一張桌前，他們很可能就表現得非常好。 學生產生知識的方式也會影響學習的能力。有些學生是更具分析性格的，他們就會傾向於固執。他們無法立刻開始他們的作業，一旦他們開始他們就有強烈的情緒督促他們進行工作直到完成為止，或者到他們認為該停止之處停下來。另一方面，一般學習者的問題是傾向於一般老師所認為會分散注意力的原因，像聲音 (音樂、敲擊聲、對話的聲音) 、非正式的設計 (閒逛、閒散) 、柔合的光線 (蓋住他們的眼睛或帶墨鏡)、同伴的邀請 (想要有朋友和他一起工作) 、以及想吃東西 (零食) ，這都會影響他們的學習(Dunn, R., Dunn, K., 1992)。 另外兩個傾向會影響學生的能力︰左/右腦，衝動/反省。有些學生的學習程序是連續性、分析性、或左腦模式的，而不是整體的、模仿的、綜觀的、右腦模式的。有些學生可以很迅速的進入學習的狀態而且他們的成績可以直接反應出來。衝動性的學生是不願意花更多的時間在學習上。反省性的學生就會花更多的時間去思考知識以及老師上課時所教的內容(Dunn R., & Dunn, K., 1992)。 !!!''為什麼有學習型態的模式'' 使用學習型態的模式時，老師能夠測驗與確認學生正確的學習型態(Beaty, 1986) 。例如，我們很難去決定一個過動的學生是否需要一個動機、一個非正式的座位、一個運動的之資源，或者「打斷 (break)」這些條件，或者缺乏對紀律的適應性discipline (Shaughnessy, 1998) 。學習型態的模式是可依賴與有效的實驗，它是一個可以診斷與提供各種學習型態特徵對每個人影響的合理解釋(Shaughnessy , 1998)。 影響學生獲得知識的學習型態之重要因素是自尊(Martin & Potter, 1998) 。「現在這些有行為偏差的學生展現出自信與接受自我學習的責任” (Perrin, 1990, p.24) 。」當學生知道如何學習以及如何在學習中力求上進，他們就更能夠控制他們的環境以及要求他們所需(Martin & Potter, 1998) 。O’Brien (1989)指出︰「或許學校應該花更多的時間在發揮學生的知覺而不是叫學生去適應老師已經做好課程計畫(p. 85) 。」 當學生了解他們的學習型態時，他們不再需要去感到不同，因為他們要求全然的安靜去研究，或者需要在課堂上產生動力(Martin & Potter, 1998) 。「當學生被教授一個方式去得到他們的學習型態時，他們幾乎能學習任何一種科目，當這些學生無法和他們的學習型態達成一種合諧的狀態時，他們就無法學習任何一種科目(Dunn, R., 1990, p. 18)。」De Bello 1996 強調︰「校長與老師有責任出提醒學生家長他們孩子在讀書時的需要，告訴他們這孩子的學習型態。, p. 39 」 或許最需要知道學生的學習型態的人就是學生家長” (Guild & Garger, 1985, p.85)。家長需要了解他們的孩子的學習型態以便去幫助他們變成更好的學生(Martin & Potter, 1998) 。 R. Dunn (1998) 結論說︰當學生的老師根據學生的的學習型態教學生讀書的方式時，學生的成就會表現的更好。她基於這樣的結論對四十二為抽樣的學生進行D & D 學習型態模式(Dunn and Dunn Learning Style Model)的實驗。這實驗在1980到1990期間在不同的高級教育機構進行。這研究顯示出學生的學習特質有75%的學生具有他們自己的學習方式且具有很高的成就表現(R. Dunn, as cited in Shaughnessy, 1998) 。 再者，經由全美的教育機構實際使用這套理論後的統計結果，傳統學習的教授法在所有的學習階段----像小學、中學、高中、大學----具有極大的影響。例如在紐約州的Frontier校區的高中特殊教育課程使用學習型態模式。一年之後 (1987-1988) ，成功的學生百分比比前一年增加66%。第二年 (1989-1990) ，增加了91%。第三年 (1989-1990) 這結果仍持續在90%(Brunner & Majewski, as cited in Shaughnessy, 1998)。 兩位在北卡羅來那州 (North Carolina) 的小學校長共同出版類似學習型態的計畫。其中一位校長專注在六年級低收入戶的學生，並且訪問這些學生的家庭。這些學生在加州的成就測驗中居於百分之三十，三年內使用學型態的方式教這些學生後，他們達成了百分之八十三的成就點(Andrews, 1990)。另外一位校長專注在學習障礙的小學生上，這為校長允許學生坐在沒有燈光壓力的教室內上課，四個月來這些學生在他們的成就測驗上都比先前的成績還好(Stone, 1992) 。 總之，美國教育部四年來的調查，其中包含單方面的觀看、訪問、觀察、測驗發現學生的學習型態是非常貧瘠的，他們並沒有很多正面影響的學習方式可以幫助他們的學習，國家也沒有提供有效的學習方式幫助特殊教育學生的成就(Alberg, Cook, Fiore, Friend, & Sano, 1992)。 !!!''Gardner的多元智能理論'' Howard Gardner是一位發展心理學家，他強調智能的性質是在於強烈的心理知覺之間的相互關連下而形成 (Gardner, 1993) 。多元智能的理論在這本書“Frames of Mind: The Theory of Multiple Intelligences” (1993)提出︰智商的評估重點並不是單一一個結構可以衡量的，而是在七種獨立的智能上去發揮。這七種智能能使每個人「表現出轉換與形構他的知覺的能力」，以及「重朔經驗的創造力」(Gardner 1983, p. 173)。 這七種原始智能如下︰ ''語詞/語法的智能''----這種能力是指有效的使用字詞在口語上 (例如︰招待者、演說者、政治家、說故事者) ，寫作上 (例如︰記者、編劇、詩人、編輯) 。一位具有語詞語法能力高的學習者能夠在閱讀、寫作、說故事、玩文字遊戲當中享受(Armstrong, 2000)。這些學生的智能是具有多重結構的︰了解語言結構與規則 (例如︰具有戲劇性的句號) ，語言的聲音 (例如︰了解音韻) ，語言的意義 (例如︰雙義) ， 語言的範例，使用語言的方便性 (韻母) ，使用語言去記憶資訊 (押韻記憶法)，使用語言去說明 (細說)，使用語言去談論語言本身 (形上語言) (AENC’s Educational Philosophy - Recognition of Howard Gardner’s Multiple Intelligences, 1999) 。 ''邏輯/數學智能''----邏輯數學智能包含使用演繹與規納的理由去解決抽象的問題，以及了解複雜的觀念中、理想中、事態中的內在關連性。這種理性的技巧應用在廣泛的知識領域中，其中包含邏輯性的科學思考、社會科學的研究、文學、以及其他的地方(Bellanca, 1997) 。 這方面的智能也函蓋許多技巧其中包含分類、預測、前置化作業、以及形成科學化的假設與了解原因與結果的關係。年輕的小朋友可以發揮他們的智能去掌握每一個單一事件的內在關係，然後去掌握觀念。這些批判性的思考可以加入在課程設計中由老師引導學生去思考，但是這需要從真正的活動中去進行。 ''視覺/空間的智能''----圖片與影像的智能包含了對這個世界精準的視覺能力以便重新去創造個人的視覺經驗。這智能開始於對視覺知能的塑型。畫家、雕塑家、建築師、園藝家、製圖師、素描師、圖形設計師等等，他們都將他們心中的構思轉變成新的構思。視覺的知覺會和已知的知識經驗、情緒、以及創造的新觀察混合在一起。 具有空間觀念很強的學生有一種相當敏銳的知覺在顏色、線條、形狀、形式、空間、以及他們之間彼此的關係。具有視覺空間知覺的學習者也具有特別的觀看能力、繪出他們觀看的空間概念、以及了解一個人在空間中所在的位置之能力(AENC’s Educational Philosophy - Recognition of Howard Gardner’s Multiple Intelligences, 1999) 。 ''肢體/運動的智能''----全身肢體的智能使我們能夠控制身體的移動、多元運動需求、以及建立一種身心的調合感。這不只是運動選手才需要的智能，當我們心中假想是一位飛行員在操控整架飛機時，這種智能還牽涉到每一個細微神經的控制。「這智能包含特殊的物理技術像是合作、平衡、靈敏、力量、柔軟、速度、適當知覺、可接觸性、以及承受能力(Armstrong, 2000)。」 ''音樂/韻律的智能''----這智能是從某一種對聲音的感受以及對這聲音投注一種情感而開始的。當學生發展他們的音樂知覺時，他們就在發展這方面的基礎。當學生創造更複雜的音樂認知時，它更能發展對音樂的天份、增加複雜的音樂組織成份。當學生愈是聆聽音樂時，這種智能隨著學生的成長增加他們的思辨性。這是一種對音樂知覺的表現 (例如︰音樂的知曉者) ，區別 (例如︰音樂評論) ，轉換 (作曲者) ，表達 (表演者) (Armstrong, 2000)。 ''人與人交互關連的智能''----這是一種對別人的情緒、意向、動機、感覺的一種迅速把握與評估。這其中包含對現實的一種情緒上的表達、聲音、姿態. (Armstrong, 2000)。 這種智能涉及到「詞語與非詞語的交流技巧、合作技巧、責難的處理、調查的技巧、以及信賴、領導、對成就利益動機的技巧,” (Bellanca, 1997)。」例如在一個簡單的例子裡，智能是可以在小朋友注意到的和感受到大人情緒當中去觀察出來。一個複雜的交互作用技巧是成人們揭露閱讀中以及與他人交往中所隱藏的意向。 ''個人交互關連的智能''----這種智能包含對自己有一個很高的認知 (一個人的強度與限制)，認知到最內在的情緒、意向、動機、脾氣、欲望、以及自律的能力、自我了解的能力、與自尊(Armstrong, 2000)。個人智能在什麼時候能夠思考、反省、完成自我評估。這種內在的交互作用之需求會使所有的智能成為最個人所擁有的。對Gardner來說「這種內在交互作用的能力幾乎無法像我們去感受痛苦與愉快那樣明顯而容易，在這種情況下就可能更關乎情況或者是與情況完全無關(1983; 1993, p.27)。」 Gardner在1991年對原版的觀念增加自然科學的智能。 ''自然科學的智能''----這種智能是指學生經由自然科的知識去學習。例如所有的學習都需要在戶外舉行。學生享受進行自然研究的樂趣，例如觀察鳥類、蝴蝶、收集昆蟲、研究樹種、撫育動物等等。他們喜歡研究生態學、自然科學、植物、與動物(Gardner, 1994)。 Armstrong (2000) 認為在學校的教學當中，去發展學生對自然環境下多樣化的智能是一件非常有益的事情。所以學校的工作就是把這自然世界帶入教室之中以及其他的地方。 !!!''Gardener 理論的衝擊'' Garnder的理論扮演著非常獨特的角色而使得Soares and Soares (1994) 提出了三項教學訓練的新理論。這個新理論可以超越傳統的理論。Gardner的理論說明了每一個理論如何在大學當中用出來，其中有(a)哥白尼(the Copernican) 的理論；(b)Gardner的多元智能理論；(c)杜威(John Dewey) 的程序觀念。藉由把這三項理論結合起來，教師們和學生們可以得到更多的機會對教學內容一起進行，然後找出一條包含這七種智能的路徑，讓小朋友和老師都有興趣一起發揮個人的專業內容、教學技巧、以及學習模式 (Armstrong, as cited in Soares, 1998) 。 在課堂上應用多元智能理論時，課程的設計可以涵蓋這七種能力︰語法邏輯運動空間音樂人與人交互關連與個人內在交流(Gardner, 1991) 。這多元智能的觀念已經可以具備目前大學先修課程設計發展所需(Armstrong, as cited in Soares, 1998) 。這種課程設計的好處如下︰ *有更多的機會讓孩子發揮他們的力量與成就 *有更多的時間關連在內容主題 *有更多的準備去改善評量 Gardner的理論對教育界造成很大的影響。例如以一般的教育課程而言其中有不同文化相互鼓勵的情況，多元智能的各種角度正是一種文化上相互鼓勵的最好結構 (Gardner & Avery, 1998)。Gardner的研究也鄭可以鼓勵教育界在相關的結構上造成有很好的指導原則。每一個範圍所強調的重點都是一種成就的創造，它是強調真實世界的應用，從應用當中讓Gardner的洞見能增加課程中專業的素養以便讓學生能在他們心中找到內在的動機(Gardner & Avery, 1998) 。 #Alberg, J., Cook, L., Fiore, T., Friend, M., & Sano, S. (1992). Educational approaches and options for integrating students with disabilities: A decision tool. Triangle Park, NC: Research Triangle Institute. #American Education Network Corporation. (1999). AENC's Educational philosophy – Recognition of Howard Gardner [On-line]. Available: http://www.aenc.org/ABOUT/MI-Pie.html #Andrews, R. H. (1990). The development of a learning style program in a low socioeconomic, underachieving North Carolina elementary school. Journal of Reading, Writing, and Learning Disabilities International, 6 (3) , 307-314. #Armstrong, T. (2000). Multiple intelligences in the classroom (2nd ed.). Alexandria, VA: Association for Supervision and Curriculum Development. #Beaty, S. A. (1986). The effect of inservice training on the ability of teachers to observe learning styles of students. Doctoral dissertation, Oregon State University, 1986. Dissertation Abstracts International, 47, 1998A. #Bellanca, J.A. (1997). Active learning handbook: For the multiple intelligences classroom. Arlington Heights, IL: IRI/Skylight Training and Publishing. #De Bello, T. C. (1996). How parents perceive students' learning style. Principal, 76, 38-39. #Dunn, R. (1990). Rita Dunn answers questions on learning styles. Educational Leadership , 48 (2) , 15-19. #Dunn, R., & Dunn, K. (1992). Teaching secondary students through their individual learning styles: Practical approaches for grades 7-12. Boston: Allyn and Bacon. #Dunn, R., Dunn, K., & Price, G. E. (1989). Learning style inventory. Lawrence, KS: Price Systems. #Dunn, R., & Griggs, S. A. (1995). Learning styles: Quiet revolution in American secondary schools. Westport, CT: Praeger. #Dunn, R., Griggs, S. A., Olson, J., Gorman, B., & Beasley, M. (1995). A meta-analytical validation of the Dunn and Dunn learning styles model. Journal of Educational Research, 88 (6) , 353-361. #Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. New York: Basic Books. #Gardner, H. (1991). The unschooled mind: How children think and how schools should teach. New York: Basic Books. #Gardner, H. (1993a). Frames of mind: The theory of multiple intelligences /10th Anniversary Edition. New York: Basic Books. #Gardner, H. (1993b). Multiple intelligences: The theory in practice. New York: Basic Books. #Gardner, H. (1994). Creating minds. New York: Basic Books. #Gardner, H., & Avery, L. D. (1998). Creating minds. Gifted Child Quarterly, 42 (2) , 133-134. #Guild, P. B., & Garger, S. (1985). Marching to different drummers. Alexandria, VA: Association for Supervision and Curriculum Development. #Hart, L. (1981, March). Do not teach them, help them learn. Learning, 9 (8), 39-40. #Martin, D., & Potter, L. (1998). How teachers can help students get their learning styles met at schools and at home. Education, 118 (4), 545-555. #O’Brien, L. (1989). Learning styles: Make the students aware. NASSP Bulletin, 73 (519), 85-89. #Perrin, J. (1990). The learning styles project for potential dropouts. Educational Leadership, 48(2) , 23-24. #Shaughnessy, M. F. (1998). An interview with Rita Dunn about learning styles. The Clearing House, 71(3) , 141-145. #Soares, L. M. (1998). Structure, content and process in teacher training: The relevance of Copernicus, Gardner and Dewey. The Clearing House, 71, 217-220. #Soares, L. M., & Soares, A. T. (1994, April). The linkage of educational reform and professional development. Paper presented at the annual conference of the Eastern Educational Research Association, Sarasota, FL. #Stone, P. (1992). How we turned around a problem school. The Principal, 71(2) , 34-36. 裁切自: http://www.intime.uni.edu/model/chinese_model/teacher/teac1summary.html
From Slovak #http://www.skase.sk/jtl.html
什麼是閱讀障礙？ 閱讀障礙（Reading Disabilities）簡稱RD，是學習障礙的一種，指智力正常或超常，排除文化與環境等因素，閱讀能力低於其能力所預期之表現。《中文閱讀障礙》一書提及，影響閱讀的因素很多，目前被證實的有：社經文化因素、教學方法、教學環境，或是其他個人感官與情緒等，然而，閱讀障礙並非上述因素所致，因此，診斷時要考慮並排除其閱讀成就低落（low achievement ）與其他因素無關。 Q：閱讀障礙的成因？是否與遺傳有關？ 王曉嵐助理教授指出，閱讀障礙和腦神經生理功能發展有關聯，與智力發展無關，有閱讀障礙的孩子腦部處理語言的區塊和一般人有所差異；換句話說，閱讀障礙是一種腦神經生理基礎的特殊學習障礙，目前沒有任何藥物可以治癒閱讀障礙。 雖然，目前還沒有任何研究證實閱讀障礙百分之百是來自於遺傳，但的確有相關性；換句話說，與家族中裡面沒有出現過閱讀障礙者相較，家族中如果有人有閱讀障礙，後代會有閱讀障礙的機率確實是比較高的，不過，目前也還無法標的到底是哪一些基因所造成的影響。 Q：孕媽咪可以在懷孕階段注意什麼，來預防將來孩子有閱讀障礙嗎？ 王曉嵐助理教授指出，目前並沒有任何研究證實，懷孕階段特別注意些什麼，就可以預防孩子將來有閱讀障礙。 Q：閱讀障礙發生在男寶寶身上的比例高於女寶寶嗎？ 王曉嵐助理教授指出，「閱讀障礙發生在男寶寶的比例較高」目前並不是一個定論，但是在教育現場，的確是男生所占的比例較高。 閱讀障礙的類型 美國Catts 教授和他的同事將閱讀障礙分為 #讀寫障礙（dyslexia），又稱為失讀症，也就是解碼、識字有困難（對於文字有形音轉錄的困難，進而衍生書寫的困難），但在理解方面是沒有問題的；也有人稱之為狹義的閱讀障礙。 #理解障礙（hyperlexia）或弱理解者，也就是對於語言理解有困難，但識字解碼正常。 #以上兩者都有問題，也就是識字和理解能力皆差，，又稱為語言學習障礙（language learning disabilities，ＬＬＤ ） 閱讀障礙異質性高 Catts 教授認為，讀寫障礙與理解障礙有不同的核心缺陷，應該將兩者視為不同的障礙。由此可知，閱讀障礙的異質性很高，換句話說，即使同樣被歸為閱讀障礙的孩子，每一人出現的狀況可能都完全不相同，有些可能會遭遇識字困難、字的形音無法對應，造成字形字音的解碼很慢，無法很快拼出（spelling）一個字；有些可能是形音義對應全都出現問題。 *字形、字音無法對應 王曉嵐助理教授表示，舉例來說，英文單字蘋果「APPLE 」與 年齡「AGE」 的第一個字母是同一個字母「Ａ」，但是發音完全不一樣，然而，對於閱讀障礙者而言，他們無法分辨出這種差異性，會以同一個音去發「Ａ」。 *此外，像是英 文單字：十月「OCTOBER」，在這個單字中出現了兩個一模一樣的字母「O」，但是，這兩個「Ｏ」的發音卻是完全不一樣的，對於閱讀障礙者而言，也會將 兩個「Ｏ」發成一個音，因為他無法一開始就自己辨識出其中的差別性與規則，因此，如果你請他拼或他念出十月的英文單字「OCTOBER」，他都會出錯，無 法正確地念出字音，也無法將字音字形做對應。 經常搞混音近的字 王曉嵐助理教授指出，對於閱讀障礙的孩子，他們無法辨識「ㄅ」與「ㄆ」的差異性，他們必須花比一般孩子更多的心力與時間，才能了解到這兩個是發出不一樣的聲音。 !!!閱讀障礙跟語言障礙易混淆 閱讀障礙早期 可能有語言發展遲緩的現象，但語言遲緩不一定會變成閱讀障礙。有語言障礙的孩子在語言功能方面的整體表現會明顯落後，例如，跟他說完話之後，他無法理解妳 說話的內容是什麼，出現與他人溝通上的困難；閱讀障礙的孩子最大的問題是發生在認字，尤其發生在字的形音對應上，此外，在字詞的使用量上可能也沒有同儕來 得豐富（即便是開始接觸越來越多的文字後），但是不會造成與他人溝通問題。 常見閱讀障礙表現 １念錯字音，學習拼音困難，可能會把Q看成O ２認字速度慢 ３字的順序顛倒 ４若給予報讀，他可對答如流 ５經常跳字或跳行，無法流暢念課文 ６書寫表現不佳 ７說話時使用的詞彙量少 ８口語或書寫實的文法結構錯誤 ９無法說出故事主題和隱含的意義（無法理解） １０經常搞混形近的字 １１錯別字連篇，寫字經常多一畫或少一筆 １２經常搞混音近的字 日常生活困難 國立彰化師範 大學特殊教育學系教授葉靖雲指出，在以前的農村社會，資訊是依靠口耳相傳，但是在現今社會，絕大部分的資訊都是透過文字，包括大樓的停電、停水的通知公告 等，因此，閱讀障礙者如果沒有得到協助，認字速度慢或是無法認出、寫出許多字，那麼，他們除了在學業上會遭遇到重重困難之外，在日常生活方面也會遭遇挫 折。 Q：許多閱讀障礙的孩子，會被誤認為是過動或是注意力不集中？ 王曉嵐助理教授指出，許 多閱讀障礙的孩子，容易被誤認為是過動或是注意力不集中，最主要是因為他們掌握語言文字的能力比一般的孩子差，導致他們越來越不喜歡上跟語言文字有關的課 程，然而，大部分的學習，都必須使用語言文字，在他們覺得學習非常吃力困難的情況下，自然而然就是不想聽、坐不住，開始會調皮搗蛋，課業也會出現落後的情 況等。 這同時也凸顯出老師與家長們對孩子的觀察、專業檢查評估的重要性，如果孩子是有閱讀障礙的問題，卻被誤以為是注意力不集中，無法以最正確的方式介入，給與孩子協助，家長與孩子都會付出更大的代價。 Q：有些幼兒園會提早教孩子注意符號，提早教學是否能夠提早發現閱讀障礙？ 一部分閱讀障礙者學注音有困難 葉靖雲教授指出，有閱讀障礙的孩子，每一個的狀況都不相同，其中有一部分的確是會對聲韻不敏感，那麼學習注音符號對他們來說就會是困難的；但是，有些閱讀障礙的孩子依然能夠很順利地學習注音符號，一直到了真正開始學習文字的階段，他們才會產生困難（他們對字形不敏感，對字音的敏感度還可以）。葉靖雲教授認為，也有很多研究發現孩子如果在學習注音符號上有困難，可以跳到直接學習中文字，因為中文字是六書，有些字在字型上是能夠拆解出意義的。 學習注音符號是一大壓力 王曉嵐助理教授提醒，如果孩子真的有閱讀障礙，讓他學習注音符號，絕對是一大壓力，事實上，在教育現場，如果經過專業的診斷與檢測確認孩子真的有閱讀障礙，老師反而不會再繼續教授孩子注音符號，而是教授另一套專業的識字方法，這些識字方法都是有經過實驗，有深厚的研究基礎。 例如，老師可能會教孩子1200個日常生活的常用字，先解決孩子最基本的問題，等孩子記熟了，能夠解決閱讀與生活上最基本的需求，不會影響到其他領域的知識學習，再進一步教授次頻率的用字，重點是這些字的教授完全不涉及注音符號。 學習非注音的打字法 葉靖雲教授表示，如果將來要使用電腦打字，或許用自然發音法的打字法，對閱讀障礙的孩子會比使用新注音的打字法要來得容易，因為自然發音法的打字法，可以將要打出字的聲音先念出來進行確認。 王曉嵐助理教授再三強調，注音符號的運用對一般人來說是輔具，例如，用注音符號分辨ㄥ與ㄣ發音的不同，但是，對於閱讀障礙的孩子來說，學習與使用注音符號都是難上加難的。學習電腦打字時，他們也比較適合學部首拆解的打字法，而非新注音的拼音打字法。 Ｑ：在幼兒園階段，還沒有正式學習認字、寫字（包括學習注音符號）之前，家長有可能發現孩子有閱讀障礙嗎？ 早期發現早期療育 葉靖雲教授指出，早期篩選的方法並非百分之百，但目前借用國外的經驗，的確能夠在早期發現閱讀障礙高危險群的孩子。王曉嵐助理教授也認為早期發現是可以做到的，事實上以專業的角度來說，也是希望能夠早期發現、早期治療，像國外已經有在進行針對學齡前幼兒階段有閱讀障礙風險（risk）的篩選，雖然目前在國內還沒有明定的法令規定必須進行篩選，但也一直有在從事宣導工作。 閱讀障礙者在學齡前可能出現的症狀 此外，葉靖雲教授與王曉嵐助理教授進一步提供了幾種閱讀障礙的孩子可能會出現的狀跡象，供爸爸媽媽參考： １孩子平日所使用的詞彙量很少，例如，４～５歲，一般常用字大約在1500-2000字左右，如果大幅少於這個數字，可能要加以注意。 ２只使用單字或是非常簡單的用字。 ３音韻能力較差，例如，無法跟著爸爸媽媽一起朗念歌謠。 ４排除文化與環境的因素，名詞與語音間的連結，學習得特別慢。 ５學習顏色、數字或字母有困難 ６回憶正確字詞（詞彙提取）有困難 ７對於聲調的概念與反應偏弱 ８相近的音總是混淆，例如「ㄅ」與「ㄆ」 小學３年級後是發現高峰 葉靖雲教授表示，根據目前國內外的相關研究顯示，小學3年級是發現孩子有閱讀障礙的高峰期。王曉嵐助理教授表示，因為小學3年級之後接觸的文字量大幅增加，學校也開始上國語文等學科，「孩子漸漸從learn to read到read to learn，必須靠著閱讀來學習」然而，在此時發現孩子有閱讀障礙，通常也已經呈現出學習障礙或困難了。 一般老師發現之後，會轉介給特教班或資源班的老師，經由專業的測驗，排除其他感官或認知功能缺陷，鑑定是否為閱讀障礙。但若是能在幼兒階段或是小學3年級以前發現孩子有閱讀障礙的問題，及時給予恰當的語音訓練是相當具成效的，能夠大幅降低孩子因為閱讀障礙所產生的學習困難。 中央研究院語言所大腦與語言實驗室的李佳穎教授在中央大學大腦師資人才培訓教材也提及，若以閱讀能力做為判斷，要到小學３年級才能判定低於兩個閱讀年齡，這種方式不但無法早期發現，也失去早期補救的契機。 Q： 為什麼強調越早發現孩子是否有閱讀障礙，能夠早期介入協助孩子越好呢？ 避免未來出現嚴重學習困難 王曉嵐助理教授表示，一旦閱讀障礙的問題拖得越久，孩子能夠學習到的詞彙量就會比一般人少，強調早期發現早期介入，最主要是希望避免孩子未來出現非常嚴重的學習困難，若是孩子長時間在學習上不斷受挫，除了成績長時間落後，會影響孩子對自我的認識與信心外，還會引發一連串社交與情緒問題，導致孩子與同儕互動相處上也可能會出現問題。 避免孩子自我放棄 另一方面，越早發現孩子是否有閱讀障礙的問題，越早介入協助孩子，也是希望避免孩子出現自我放棄的心態，因為當孩子嚴重受挫時，他可能會放棄與文字相關的所有活動，事實上，閱讀障礙者不是不能使用文字，只是速度比一般人慢，孩子的記憶能力與其它能力與一般人並無差異。 Ｑ：如果爸爸媽媽懷疑孩子有閱讀障礙，可以去醫院的哪一個科別尋求專業的診斷與協助呢？ 小兒科、小兒神經科、小兒復健科 葉靖雲教授表示，如果家長懷疑孩子可能有閱讀障礙，建議先帶孩子去大型醫院的小兒科進行門診，或是前往一些對兒童發展較有專業的醫院，一旦醫生也認為孩子可能真的需要進一步的協助，也會進行相關轉診的動作。王曉嵐助理教授指出，由於閱讀障礙的發生與腦神經有關係，所以可以前往小兒神經科（神經科中包含神經語言學）或是小兒復健科，尋求更專業的診斷與協助。 Q：一歲多的孩子，說話時也有可能出現ㄥ、ㄣ 還無法明確掌握的情況，例如，說「我運動」的時候，會說成「我一ˋ動」，爸爸媽媽該如何判別這是孩子有閱讀障礙的可能（出現語音辨識有問題的狀況），還是只是一般發展的狀況？如果孩子出現這樣的狀況，爸爸媽媽又應該怎麼做呢？ 維持自然互動、不用刻意矯正 王曉嵐助理教授表示，一般孩子在學習語言的過程中，也會經歷ㄥ、ㄣ不分的階段，只是，如果是有閱讀障礙的孩子，他們經歷這個狀況的時間會更久，並且必須比別人花費更多的時間去學習與分辨ㄥ與ㄣ。 至於當這樣的狀況出現時，爸爸媽媽可以如何協助孩子？王曉嵐助理教授建議，爸爸媽媽不用過度緊張，以保持與孩子的自然對話與溝通為主，不用刻意地去矯正孩子，有時候年紀越小的孩子，越喜歡爸爸媽媽用媽媽語（聲音輕柔、疊字較多，例如，小狗，會說成狗狗）跟他們說話，事實上，爸爸媽媽在跟小北鼻互動對話時，也會很本能地使用媽媽語。 多與孩子說話、唱歌給孩子聽 除了不用刻意去矯正孩子之外，爸爸媽媽可以多唱歌給孩子聽，多與孩子說話，因為當孩子經常性地在「聽」爸爸媽媽如何使用語言，絕對有助於他們學習辨識正確字音的能力發展。 Q ：寫反手字或是鏡像(形)字，就代表孩子有閱讀障礙嗎 ? 鏡形字出現在閱讀障礙比例低 葉靖雲教授表示，所謂的反手字也稱為鏡像(形)字，就是寫出的字看起來是顛倒的，根據目前所知，鏡像(形)字出現在閱讀障礙的比例是很少的，孩子有可能只是對於字的結構還不了解，認字或寫字的經驗都不足，不像大人可以根據經驗，歸納出字形的特色，所以比較容易出錯，會常常寫出鏡像(形)字，當孩子練習書寫的字彙越多時（約超過500個字之後），寫出鏡像(形)字的機率應該會大幅降低。 正常發展：３～５歲寫反手字 王曉嵐助理教 授表示，寫反手字就代表孩子有閱讀障礙，是一大錯誤的觀念。一般孩子在３～５歲的階段，都會把看到的符號、文字或圖騰反過來寫（畫），最主要是因為對孩子 而言，文字並不是文字，只是看到的一些符號罷了。隨著年齡增長，家長或老師慢慢地告訴孩子這些所謂的符號是有意義的文字之後，孩子才會學習起來，因此，如 果在幼兒階段，孩子出現寫反手字的情況，爸爸媽媽先不用過度緊張。 ８歲以上經常寫反手字應注意 但是，如果到了８歲以上，還會經常性出現書寫反手字的情況，就有可能是閱讀障礙造成，爸爸媽媽應該儘速帶孩子找專家進行鑑定，王曉嵐助理教授進一步說明：「事實上，寫反手字並不是閱讀障礙的成因，而是結果，是閱讀障礙反映出來的困難之一，由於辨識文字的能力不足，認字速度也慢，因此才保留了幼兒階段辨識文字的方法。」 Ｑ：如果閱讀障礙屬於生理神經方面的問題，無法用藥根治，那麼如果孩子有閱讀障礙，爸爸媽媽可以如何給予協助呢？ 將文字轉換成圖像記憶 王曉嵐助理教 授表示，閱讀障礙的孩子仍然能夠學會書寫，爸爸媽媽可以引導孩子，教他利用簡單的圖像、符號，甚至是數字來取代文字，協助自己記憶，因為字的組合千變萬 化，但是數字的組合較有固定的法則，例如，可以把一件事情畫成一個圖，或把文字量大幅縮減，把５頁的內容，濃縮成１頁來記憶。 彰顯語音成分差異 在幼兒階段， 爸爸媽媽可以善用吟唱有音韻的歌謠或說話方式，去彰顯語音成分的差異，把難以辨識字音刻意表現得更加清楚給孩子聽，例如，對於有閱讀障礙的孩子而言，分辨 與學習「ㄅ」與「ㄆ」的差異是非常困難的，那麼講到含有這兩個音的語詞時，就特別強調，例如「八」跟「趴」兩個單字。 盡量使用有趣的方式，讓小朋友自己也有興趣地會跟著爸爸媽媽一起覆誦最佳。爸爸媽媽製造的機會越多，經過長時間累積下來的訓練，對孩子的發展一定能夠產生正面的影響。 利用其他知覺系統來代償 像新加坡總理李光耀，就患有輕微的閱讀障礙症。他的代償方式就是利用過人的記憶能力，他會先將要演講的稿子口述一遍請太太紀錄，再請太太讀給他聽，他再記下來；因此，爸爸媽媽也可以觀察孩子哪一方麼知覺系統較強，再引導孩子善加利用。 多元的生活經驗 葉靖雲教授指出，許多閱讀相關的研究都顯示，當讀者在閱讀時，若已有充足的背景知識，對文字的依賴性其實會降低，也較能快速裡解內容所講述的重點與資訊，因此，爸爸媽媽可以帶著孩子多體驗不同的生活經驗，豐富孩子的背景知識。 親子共讀 此外，親子共讀也是很好的方式，每天只要抽出短短15～２０分鐘的時間，剛開始時先針對孩子的興趣，挑一本文字不那麼困難的繪本，可以跟孩子「輪流朗讀」；隨著孩子年齡漸增，選擇不同的書籍，將書中文字所佔的比例慢慢提升，也可以試著讓孩子先讀，並請他預測內容發展。 葉靖雲教授提醒爸爸媽媽，親子共讀除了注意內容之外，還要多注意書本的詞彙量是否充足，若能持續性的朗讀與提問，分享彼此閱讀感受的經驗，不但對孩子的閱讀能力能夠產生正面的影響，爸爸媽媽也較有機會察覺孩子是否有閱讀障礙的困難。 完整內容請翻閱《BabyLife育兒生活》102.9月號 王曉嵐 現職：國立臺灣師範大學特殊教育學系助理教授 學歷：英國劍橋大學實驗心理學博士 專長：教育神經科學、兒童閱讀發展與閱讀障礙、精神疾患之神經影像研究 葉靖雲 現職：彰化師大特教系教授 學歷：美國明尼蘇達大學教育心理研究所特教組博士 專長：學習障礙、融合教育、教育心理評量 洪雅惠 現職：國立彰化師範大學特殊教育學系助理教授兼通識教育中心人文暨社會科學組長 學歷：美國威斯康辛大學特殊教育哲學博士 研究領域：學習障礙、學習策略 ＊更多內容請參考：【BabyLife育兒生活】2013年9月號。http://www.mababy.com/ 來自 <http://www.mababy.com/knowledge/article.aspx?aid=390725625CD1C3BB>
Metaphor Thought, mapping, feature crash 70s Mapping 80s (life is journey) Corpora 90s til now. Deignan: on fire ( desire and anger. Passion) on plural forms: fire & fires Mapping & thoughts through social cultural function Language acquisition
This is critical #https://gate.ac.uk/overview.html#section-3.
Sad, true stories underneath the investigation # https://www.twreporter.org/a/xinwufire-7doubts # https://www.twreporter.org/a/xinwufire-the-survivor # https://www.twreporter.org/a/xinwufire-alive
My source of learning #2016 感覺與知覺 http://www.sharecourse.net/sharecourse/course/view/courseInfo/846
Here's some: # https://www.quora.com/Is-there-an-easy-UI-builder-for-titanium-appcelerator # http://www.tismithy.com/userguide.html # http://www.titaniumui.com/ # http://visual-ui.com/ # https://wiki.appcelerator.org/display/guides2/Installing+App+Designer # http://videos.appcelerator.com/video/E8wU161h/Appcelerator-App-Designer-Overview # https://www.lynda.com/Appcelerator-training-tutorials/1107-0.html
Generative grammar<fMRI<CG<CFG
see the captured discussion
{{2016-05-05_09-35-43.png}}
!!Do Mnemonic devices help reader read faster and better? Observation from the horizontal acceleration data within specific line sections.
---
*Howard Wu
*102551020@nccu.edu.tw
*2016.1/11
*Advisor: Prof. J.L Tsai
---
!!Abstract
In my pilot study, I focus on finding out if there are any evidence that mnemonic devices (abbreviated as m-devices) can help achieve better reading efficiency. Here we define better reading efficiency as "less regression", faster reading pace, and better retention (comprehension) after reading. We will have two groups of participants reading the passage, and measure the fixation and time stamps to see the total time used. I will also analyze the time used after passing the circled area (main verb)
Introduction & literature review
I have been interesting in synesthesia for sometime, since I am a synesthesics of Part of speech / syntax and tactile feeling. I met some dyslexics throughout my life and I started to wonder if my special perception on reading would help them read better? From the paper I read this semester, I realize that the dyslexics have problem in crowded text. For these people, I expect my m-devices would help them focus on the main part of the sentences, that is, the predicates. I wish to see the accleration after the main verb or velocity higher than average in the predicate ROIs.
!!Methods
This is the intial plot comparision. http://fall-cicada.blogspot.tw/2015/12/dot-map-comparison.html But we can’t see any concluding result from them directly. So we compute the velocity within certain dot-line sections, that is, we specifically looking for the sections in our ROIs. If we found the velocity increases after passing the main verb ROIs, then our assumption is correct. We do the velocity - fixation map after to figure out the velocity in each neighboring dot-line section. I also mark ROIs and m-devices in most of the main verbs and predicates of the test material.
The material is chosen from the novel "metro 2033", written by a Russian novelist. It's a crucial step to choose suitable materials. I am measuring the the reading efficiency by time stamp and positive velocity changing (I figure out fixation numbers is not an adeequite index for reading efficiency).I would need a passage with suitable syntactic structure. To briefly explain my desired "pattern" on the passage, I would reinforce the elements we are looking for: the SVO structure, or the “main verb-predicate” structure.
I must find a passage with many SVO structure, but it cannot be too complicated or with too many dangling sentences. It shall not be too boring to read with, it's better with some scene or plot description to stimulate the reader to go on with a comfortable pace. The passage I chose fit my requirement. But after the test I was told by the participants that the passage is very boring. This is beyond my expectation. I thought I chose the right material for the readers.
I was advised by Zuzana that I shall tell the participants we will ask them the content of the passage. So they will read the material carefully.
The next step, we try to commpute the data obtained with two relative easy concpet: velocity and acceraration. Measuring reading efficiency is a hard task, but we can count on the x position and the time stamps of each dot (fixation). Here’s the simple formula we learned from basic Physics.
*v = △x / △t
*a = △v / △t
The concept is simple: we assume reader will read slower when there’re hard words or content in need of more attentional resource. For any given △x, we can compute the velocity within the two neighboring dots. We will compare the velocity within the ROIs.
!!Anticipating results:
I assume that the velocity within the main verb ROIs and predicate ROIs will be faster. The velocity outside these ROIs will be slower. What’s more, I assume the velocity in predicate ROIs will be even faster then those in main verb areas. So the slope (acceleration) of velocity-fixation map would be positive and sharper. To see the result, we map the velocity to dot x map. There are some obvious peaks and increasing speed in certain area, and they often appear repeatedly. All we need to do is to see if these areas were in the predicate ROIs. If the slope ratio = positive, that means the acceleration is positive and the velovity is increasing rapidly.
!!Results and analysis
Here’s a piece of the result from the trial 2 and 3 of two participants. The huge negative peaks represent line changing (a hugh regression actually). We will ignore them here. The pattern in trial 2 for both participants is quite similar. But for trial 3, there’re more fiaxtion for participant 702. There’re also more deacceleration and small negative peaks, these are the regressions for meaning certification. So for these two participants, m-devices surely have the effect on outlining the points of each sentences, that is, the predicates. We can not ignore the fact that we need more participants and a balanced matrix for experiment, but the methodlogy is similar. We will try a more complete test in my research proposal.
For more detailed ROI and acceleration data, please check the link below. http://fall-cicada.blogspot.tw/2016/01/detailed-roi-and-accleration-data.html
{{2016-06-17_18-08-41.png}}
{{2016-06-17_18-16-52.png}}
{{2016-06-17_18-17-15.png}}
{{2016-06-17_18-17-47.png}}
!!Reference
#Olson, R. K., Kliegl, R., & Davidson, B. J. (1983). Dyslexic and normal readers’ eye movements. Journal of Experimental Psychology. Human Perception and Performance, 9(5), 816–825. http://doi.org/10.1037/0096-1523.9.5.816
#Schneps, M. H., Thomson, J. M., Chen, C., Sonnert, G., & Pomplun, M. (2013). E-Readers Are More Effective than Paper for Some with Dyslexia. PLoS ONE, 8(9), e75634. http://doi.org/10.1371/journal.pone.0075634
#Stanley, G., Smith, G. a, & Howell, E. a. (1983). Eye-movements and sequential tracking in dyslexic and control children. British Journal of Psychology (London, England : 1953). http://doi.org/10.1111/j.2044-8295.1983.tb01852.x
The influence Pop music exert on teenagers' identity shift and English learning Many researchers have studied the relationship between identity shift and language learning. But few research have been done to investigate subjects' identity shift during the course of getting attracted to a singer (or gradually lessen their interest on the singer.) Is there any positive effect on listening to English songs when learning English? Will their definition on their social position and expectation change as they follow their beloved singers? Do these songs have an eminent impact on their effects on language learning? Methodologically, we limit pop music within the genre of English speaking songs. We will examine the billboard 100 and ask subjects' favorite singers and songs. After that we would trace their interest development over a period of time (ideally it would requires a decade.) In order to make the research go smoothly, we choose to trace people who can provide their earlier life experience. That means, people who are beyond their puberty, those who have established certain career. We will ask them to recollect their earlier memory on ... We will have the following groups of subjects: junior-high students (12-15), senior-high students (15-18), university students (18-22), graduate school students (23-), and other groups such as young workers in all walks of life (18-30), as long as they listen to English songs and recognize the life value in them. 要有references 請上JSTOR或相關學術論文網站找資料
# http://www.netadmin.com.tw/article_content.aspx?sn=1606020002
Coding schemes #https://softnshare.wordpress.com/portfolio/data-science-essentials-in-python/?blogsub=confirming#blog_subscription-7 #
!!Reference # Olson, R. K., Kliegl, R., & Davidson, B. J. (1983). Dyslexic and normal readers’ eye movements. Journal of Experimental Psychology. Human Perception and Performance, 9(5), 816–825. http://doi.org/10.1037/0096-1523.9.5.816 # Schneps, M. H., Thomson, J. M., Chen, C., Sonnert, G., & Pomplun, M. (2013). E-Readers Are More Effective than Paper for Some with Dyslexia. PLoS ONE, 8(9), e75634. http://doi.org/10.1371/journal.pone.0075634 #Stanley, G., Smith, G. a, & Howell, E. a. (1983). Eye-movements and sequential tracking in dyslexic and control children. British Journal of Psychology (London, England : 1953). http://doi.org/10.1111/j.2044-8295.1983.tb01852.x #http://www.degruyter.com/view/j/cogl.2015.26.issue-2/cog-2014-0066/cog-2014-0066.xml?format=INT #Wu, D. H., Martin, R. C., & Damian, M. F. (2002). A third route for reading? Implications from a case of phonological dyslexia. Neurocase. http://doi.org/10.1093/neucas/8.4.274
''Reflection on Ji's paper: A textual perspective on Givon's quantity principle'' 1. Goal: *verify if there're more coding materials in the beginning of a written discourse. *P294 [the narrative texts used in the experiment were typical personal accounts of past experience taken from Reader's Digest.] *P294 [Consequently, the research question for this study is: Are the beginnings of episodes given more coding material than the beginnings of subepisodes in narrative texts?] 2. Methods: *count out the words in different categories (related, evoked, new) * p295 the volunteers [...identified the beginnings of each episode in a narrative text by placing a slash before the first word of an episode] 3. Methodology: * p294 [20 native speakers of English were asked to segment 10 unparagraphed English narrative texts into episodes.] * p295 [an episode was defined to them as a portion of a narrative text that relates to an event or a series of connected events and forms a coherent unit in itself] * p294 [the subjects, consisting of 10 male and 10 female undergraduate students at the University of Alverta, Canada...] * p295 [...as they are made by ordinary language users rather than the conductor of the study, these divisions represent their unbiased views of the episodic structures of the segmented texts...] * p295 [In making the differentiation (episode & subepisodes)...this study treats the episode divisions shared by 65% or more of the subjects as the boundaries of representative episode units identified in segmented texts.] **p295 [the episode divisions classified into this group enjoy a reasonable majority...they are identified by more than half of the subjects.] **p295 [this reasonable majority can give us more tokens of episode divisions to be analyzed than greater majorities as represented by 70% or 80%.] **p295 [Some of the episode divisions made less than 65% of the subjects are used as another group of data for contrastive analysis. These are the episode divisions made by 30-64% of the subjects.] **p295 [...lower identification rates these divisions are considered less definite cases of episode units. However, since they are identified by about half of the subjects on average, it is plausible to assume that these divisions are identified on similar grounds as those in the first group but somehow differ from them in certain aspects.] **P295 [Based on this reasoning, these less definite cases are treated as the subepisodes within the episodes identified in the first group.] *p295 footnote 4 [ The episode divisions made by less than 30% of the subjects are considered too unrepresentative to be included as part of the data for further analysis] 4. discourse / sentence structure *p295 [As expected, the subjects did not make exactly the same choices. However, a large number of their choices do converge to varying degrees. These shared choices form the data for analysis in this study.] *p295 are classified into [...the subjects of the sentences & the adverbials occurring before the subjects.] (These are the keys indicate the beginnings of episode and subepisodes) **p295 [the adverbials are mainly responsible for establishing new temporal or spatial settings or thematic reorientations of various kinds] **p295 [the subjects are referring expressions of the participants and other nonhuman referents in the stories.] *p295 [since the adverbial and subject play different roles, the constructions comprising an adverbial and those comprising a subject are dealt with in two separate groups.] *p297 [Adverbial constructions are tabulated as adverb, adverbial phrase, and adverbial clause] **p297 [adverbs provides a close link in time between two events: then] **p297 [adverbs provides ... 5. main findings: Givon's quantity principle is supported. *Episode-initial sentences = major thematic structures of texts, with more new, unpredictable information; *Subupisode-initial parts = related, evoked materials 6. comments: This method should be tested on more texts, especially on different genre. For example, news form newspaper. Otherwise it's hard to believe that all the texts fit into this theory. (though they chose multiple stories from Reader's Digest. But most of them are descriptive stories. See p294 footnote 3) References: #http://en.wikipedia.org/wiki/Narrative_structure #http://www.amazon.com/Story-Structure-Laurence-Perrine/dp/0155837923 # Joseph Campbell The Hero with a Thousand Faces
!Do Mnemonic-devices placed on main verbs and predicates enchance people’s average reading fluency? --- *Howard Wu *102551020@nccu.edu.tw *Advisor: Prof. J.L Tsai *Due date 2016. 1/18 5pm --- !!Abstract In this research proposal I try to figure out if m-devices placed on ceartain sytactic position like main verbs and predicates will enhance reading fluency. By placing them in the correct positions, I assume they will improve readers’ reading speed and decrease unnecessary regression and fixations. I will calculate the mean (average) velovity and mean acceleration on two neighboring fixations. The data obtained by eye-tracking devices will provide accurate horizontal positional data for my research, thus answering my desired questions as the paper titled. And this will probably lead to the invention of an hint for POS(part of speech) based m-devices reading training for dyslexics who suffer from crowding effect and poor working memory. !!introduction & literature review From the abstract of “Shorter lines facilitate reading in those who struggle.” , it was written “...Given that an expected trade-off between horizontal and vertical regression was not observed when line lengths were altered, we speculate that these effects occur because sluggish attention spreads perception to the left as the gaze shifts during reading. Short lines eliminate crowded text to the left, reducing regression. “ I think it might also be influential if we can utilize their limited attention to the predicates by mnemonic-devices. No such experiment has been done by eye tracking devices. This time I need to produce the text by myself, and adjust the spacing of the mnemoinc devices so that they won’t look crowded. I suspect the result that was opposite to my prediction last time was caused by crowding effect. Those m-devices were added by marking software (Skitch, made by evernote. corp) after the text sample was produced. So they look somehow crowded and akwaard. !!Methods: (design, material, procedure…) From my previous experiment I found some drawbacks and I would like to avoid some of them by improving the techniques of experiment design. The rest setting and my hypothesis will remain the same. The material will be specially written with specific details. For example, a description of the objects and their orientation in the room. I would not choose text from source such as newspaper on NYT or science textbook , even they might have more narrative materail with neutral facts. Some researchers was claiming they randomly selcet articles from the science textbook, but it is still possible that some participants have more understanding on such a field, thus causing them to read faster and better. Because they may still have bias and hints for readers of some backgrounds. This would influence their processing speed of the text. So I’d write a novel article on my own. For questions like how people process articles with different styles and syntatic attributes, I think it shall be postponed until I make clear of this m-devices question. But I also want to know on which material my m-devices work better. They will be arranged in the experiment next time. *α = velocity for each trial *β = acceleration for each trial *R = observed ROIs(Region of interest), where positive acceleration happens and ROI marks were recorded Here are the distribution maps of the above data: *complete set of participant 701 data, including alpha and beta https://docs.google.com/spreadsheets/d/1vS_RF-J_tjGHH78oiB_YgCr9abqedL9-UUDB_DXlquY/edit?usp=sharing *complete set of participant 702 data, including alpha and beta https://docs.google.com/spreadsheets/d/1e0D0mHh4mK-PIqmlT5zBB-ZIcFe56HAbPkLEF8ebkxw/edit?usp=sharing Let me list out the problems encountered so far. #the Y-axis alignment is corrupted so there are dots outside the ROI. But they shall be counted into the ROI. #Grouping of the test is problematic: the best grouping shall be a 2x2 matrix, or at leasat a 2x2 matrix. But here in this case, mine is a 2x1 matrix. # ''Ways of defining efficiency:'' I use the looseness of the dot as an indication for reading speed. Yes we do have time stamp of each dot. But these "looseness" can not faithfully explain if their reading is efficient. # the way they scan through the passage. (they just move their eyes without really reading it!) ''Some methods to improve such problems'' <<< --- #fill up the whole map with ROI, so that no dots will be missed. #I will make my next experiment grouping at least in 2x2 matrix. #I try to make an operational definition on this: higher mean velocity throughout the trial. By mean velocity I mean the average score of each neighboring fixation. Of course I need to delete the huge regression caused by line changing. #We will tell them there’s a quiz after this eye-tracking experiment. I am not if I shall make one quiz paper at all. But it would be a good reference to tell their VAS (visual attentional span) in another way. Just a longer term VAS after the test. #I may need a VAS for them before my test so that I could know if the participants have relatively similar working memory. I will also make sure the participants did not take pills or feel tired because they have to hurry to the test or ride fast. All these factors will cause their attention lose and dry eyes, which is very bad for reading and eye tracking calibration. ROI details in x-y map along with fixation map http://fall-cicada.blogspot.tw/2015/12/dot-map-comparison.html --- <<< !!Mode of alpha and beta for 701 and 702 in trial 2 and trial 3 We also want to provide the δ^2(=variance) and mean of alpha/beta of all trials of both participants (alpha 2 belongs to trial 2; beta 3 belongs to trial3, etc ). Please see endnote. Though I have no idea on how to use them correctly, yet. Now we only focus on the trial 2 & 3 of participant 701 & 702. For Trial 2 of Participant 701: There are 37 sections (defining as neighboring fixations) with positive slope. That is, positive acceleration. There are 15 of them located within ROIs, where we can observe for the m-devices effect. I provide the observed ration to elaborate how much fidelity my experiment carries. In this case, prediction made based on 30%~40% obsered ratio is not very representative. To address easier, I made a table below. Due to my limited time on data processing, I can only calculate so much. But I will keep on to find out if the rest answers are still so depressing. |!(β > 0) |!Δ x |!R = observed Δ x|!observed ratio|!mean α throughout trial | ! mean β throughout trial| !mean α of R| !mean β of R| |!701 trial2|37|15|40.5%|0.329601| |0.301910| | |!702 trial2|37|12|32.4%| | | | | |!701 trial3|43|13|30.2%|0.312848| |-0.2827|| |!702 trial3|55|17|30.9%||||| !!Anticipating results I expect the readers will experience better reading fluency after they get to known the tricks of predicates and main verbs. The foreground is that this would not cause extra crowding effect for them. The m-devices could be annoying for readers since they were placed and add up afterward. This would make the whole text looks crowded. I need to increase the line space greatly or clear up the layout to make the words look right. I was expecting the group with m-devices will read far faster and has fewer dots upon the ROI of predicates. But I figure out: mean alpha throughout the trial is actually larger than the mean alpha of R ! This means my m-devices are only slowing them down! To my surprise, the result seems to be the contrary to my prediction. I had deleted the huge regressions of line changing. So they shall not cause the trouble. I am not sure what happened to my data, I am not even sure if I process the data analysis correctly. (It should be correct) Maybe I should consider my methods on calculating the “averaged” (mean) velocity is not suitable. I can not just delete the outliers caused by line changing then average them. Even though these spots(fixations) can be clearly markerd on the data. I still hold some faith to my hypothesis, but I need to renew staticstics knowledge. !!Reference Olson, R. K., Kliegl, R., & Davidson, B. J. (1983). Dyslexic and normal readers’ eye movements. Journal of Experimental Psychology. Human Perception and Performance, 9(5), 816–825. http://doi.org/10.1037/0096-1523.9.5.816 Schneps, M. H., Thomson, J. M., Chen, C., Sonnert, G., & Pomplun, M. (2013). E-Readers Are More Effective than Paper for Some with Dyslexia. PLoS ONE, 8(9), e75634. http://doi.org/10.1371/journal.pone.0075634 Stanley, G., Smith, G. a, & Howell, E. a. (1983). Eye-movements and sequential tracking in dyslexic and control children. British Journal of Psychology (London, England : 1953). http://doi.org/10.1111/j.2044-8295.1983.tb01852.x http://www.degruyter.com/view/j/cogl.2015.26.issue-2/cog-2014-0066/cog-2014-0066.xml?format=INT !!! Endnote: Complete charts for both participants. mode 701 702 α1 0~0.5 0~0.5 α2 0~0.5 0~0.65 α3 0~0.5 0~0.4 α4 0~0.5 0~0.65 α5 0~0.65 0~0.5 α6 0~0.5 0~0.7 α7 0~0.5 0~0.5 α8 0~0.5 no data α9 0~0.5 0~0.5 mode 701 702 β1 -0.0035~0 -0.0035~0 β2 -0.004~0 -0.005~0 β3 -0.015~0 -0.004~0 β4 -0.004~0 0~0.015 β5 -0.0065~0 0~0.005 β6 -0.005~0 -0.005~0.005 β7 -0.005~0 0~0.0075 β8 0~0.005 no data β9 -0.01~0.01 0~0.005 701 μ of α μ of β δ^2 of α δ^2 of β 1 0.004146444621 -0.0000244505898 0.815874143 0.00004458453974 2 0.002332514632 -0.000008664773698 0.8333474164 3 4 5 6 7 8 9 702 μ of α μ of β δ^2 of α δ^2 of β 1 2 3 4 5 6 7 8 9
http://www.ntnu.edu.tw/spe/teacher/Wang_Sharon/index.htm 基本資料 王曉嵐 Hsiao-Lan Sharon Wang 助理教授 電 話：(02)77345020 劍橋大學實驗心理學系 博士 University of Cambridge Experimental Psychology PhD 專長領域：1.教育神經科學 Educational neuroscience 2.閱讀發展與閱讀障礙 Reading development and developmental dyslexia 3.精神疾患之磁振造影研究 MRI research in mental disorders 電子信箱：hlw36@ntnu.edu.tw ; hsiaolanw@gmail.com 學歷 Education 學校 School 科系 Department 學位 Degree > 劍橋大學 University of Cambridge 2011 實驗心理學系 Experimental Psychology 博士 PhD > 哈佛大學 Harvard University 2006 大腦心智與教育 Mind Brain Education 碩士 MEd > 長庚大學 Chang Gung University 2003 職能治療學系 Occupational Therapy 學士 BS 經歷 Experiences 單位 Institute 職位 Position > 國立台灣師範大學特殊教育學系 2013年2月 迄今 Department of Special Education, National Taiwan Normal University 助理教授 Assistant Professor > 台大醫學院光電中心 2011年11月至2012年11月 Center for Optoelectronic Biomedicine, National Taiwan University 博士後研究員 Postdoctoral Fellow > 中央研究院語言所 2009年11月至2010年3月 Institute of Linguistics, Academia Sinica 年輕訪問學人 Junior Visiting Scholar 榮譽 Awards and Honours • Harvard Club of the Republic of China Scholarship, 2005 • The Ivy Association Scholarship, 2005 • Harvard Graduate School of Education Grant, USA, 2006 • Overseas Research Scholarship, UK, 2007-2010 • Cambridge Overseas Trust, UK, 2007-2010 • Studying Abroad Scholarship, Taiwan Ministry of Education, 2007-2009 • 臺灣師範大學延攬特殊優秀人才獎勵, 2013 研究興趣 Research Interests > 教育神經科學 Educational neuroscience > 閱讀發展與閱讀障礙 Reading development and developmental dyslexia > 精神疾患之磁振造影研究 MRI research in mental disorders 論文著作 Publications 期刊論文 Articles • 王曉嵐、 吳亭芳 、陳明聰 (2003)：輔助性科技於教室情境中的應用， 特殊教育季刊，89， 9-16。 • 吳亭芳 、陳明聰、王曉嵐、黃馨儀、鐘致芬 (2005 )：應用輔助性科技協助就讀高等教育之身心障礙學生有效的學習， 特教園丁， 20 （ 4 ）， 1-9 。 • 吳亭芳 、陳明聰、王曉嵐 (2007) ： 輔助性科技服務模式之探討， 特殊教育季刊 ，103，32-40。 • Goswami, U., Wang, H. L. S., Cruz, A., Fosker, T., Mead, N., & Huss, M. (2011). Language-universal sensory deficits in developmental dyslexia: English, Spanish, and Chinese. Journal of Cognitive Neuroscience, 23(2), 325-337. • Wang, H. L. S., Huss, M., Hämäläinen, J. A., & Goswami, U. (2012). Basic auditory processing and developmental dyslexia in Chinese. Reading and Writing: An Interdisciplinary Journal, 25, 509-536. • Yu, R., Hsieh, M. H., Wang, H. L. S., …, Hwu, H. G., & Tseng, W. Y. I.* (2013). Frequency dependent alterations in regional homogeneity of baseline brain activity in schizophrenia. Plos ONE, 8(3):e57516. doi: 10.1371/journal.pone.0057516. • Wang, H. L. S., Shen, E. Y., Lin, M. F., Chen, C. Y., & Wu, Y. T. (2013). The changes of cerebral morphology related to aging in Taiwanese population. Plos ONE, 8(1): e55241. doi: 10.1371/journal.pone.0055241. • Wang, H. L. S. *, Lee, C. Y., &, Lo, Y. H. (2013). Phonological and Auditory Predictors of Reading in Chinese: An Overview. 中華民國特殊教育學會102年刊。台北市：中華民國特殊教育學會。 • Yu, R., Chien, Y. L., Wang, H. L. S.*,…, Hwu, H. G., & Tseng, W. Y. I. (2014). Frequency specific alternations in the amplitude of low-frequency fluctuations in schizophrenia. Human Brain Mapping. (*通訊作者) • Wang, H. L. S. (forthcoming). Neuro-imaging studies: Developmental dyslexia in Chinese. In R. Sybesma, W. Behr, Y. Gu, Z. Handel, C.-T. J. Huang, & J. Myers (Eds.), Encyclopedia of Chinese Language and Linguistics. Leiden, Netherlands: Brill. • Chen-Hao Wu, Tzung-Jeng Hwang, Pin-Jane Chen, Tai-Li Chou, Yung-Chin Hsu, Chih-Ming Liu,Hsiao-Lan Wang, Chung-Ming Chen, Mau-Sun Hua, Haigo Hwu, Wen-Yih Isaac Tseng. (2014). Reduced structural integrity and functional lateralization of the dorsal language pathway correlate with hallucinations in schizophrenia: a combined diffusion spectrum imaging and functional magnetic resonance imaging study. Psychiatry Research: Neuroimaging. doi: 10.1016/j.pscychresns.2014.08.010
這篇講temporal tense, stating aspect, mood 不過我認為對於動物來說，他們可能只有很短的時間回溯或未來預計的sense 但他們確實有 狗狗貓貓知道你跟他說等下去尿尿或週末會帶她出去跑跑 我認為人類研究語言和意識不能把人放在高於其他物種的角度上 畢竟都是用工具溝通 #去查資料庫裡面跟 情緒 和 tense, aspect, mood的關係 #aspect / tense 的差異? ''Premise:'' DRT model Mandarin code : *a designated perspective time * reference time *situation time *speech time is not coded linguistically, but conveyed by context Q1. What semantic information is needed for temporal information? (P714 top) *tense/tenseless language differ in resources *in tenseless language system, aspectual information gives pragmatic cues to the temporal location of the situation ''Terms explanations'' *axiom *theorem *preposition *conjecture *statement Axiom 1 (not a statement) *time is a single unbounded dimension *Like space, time requires an orientation point for location *the speaker is the canonical center of linguistic communiication *and the cannonical temporal orientation point is speech time (now) Axiom 2 *Thus, the basic pattern of temporal interpretation is deictic *the situations expressed in sentences are located in relation to speech time (*2) Theorem 1 *This is the default interpretation of tense (language) *And also the default interpretation of tenseless languages The linguistic forms that play a role in temporal location for Mandarin are: adverbial, lexical, and aspectual. *Temporal adverbs give direct information about location in time *Lexical forms such as modals and information about location in time. *Aspect introduces information about situation type - events (run a mile, build a house) and states (believe, be happy) - and viewpoints (perfective, imperfective, neutral) Situation type and viewpoint express situations as discrete and bounded, ongoing and unbounded, or indeterminate. Here we propose three pragmatic principles that explain the deictic pattern: #The bounded event constraint #The simplicity principle of interpretation #The temporal schema principle #Adverbs and other information may supplement or override aspectual information Not all temporal interpretation is deictic. Two important patterns are: #The temporal advancement of narrative #The static interpretation that one finds in description and certain other contexts *Section 1 discusses the deictic pattern and introduces the basic notions of aspect and temporal location. *Section 2 presents an account of the deictic pattern, with examples of how it is realized in Mandarin. *Section 3 introduces narrative and static temporal interpretation, with examples from Mandarin texts. *Section 4 concludes. !!Section 1 - the deictic time pattern - in which speech time is central - is a linguistic universal The deictic pattern locates situations either at speech time, or gives temporal locations in terms of their relation to speech time. (The present is located at speech time; the past precedes it, and the future follows.) In deixis, the default interpretation locates ongoing events and states in the present (running, believe), and bounded events in the past (run, break). The other possibilities are constrained and require additional explicit information. The key factor underlying the deictic pattern is whether a situation is bounded or unbounded. • ‘‘Boundedness’’ is an aspectual notion: it refers to a property of the situations expressed in sentences. • Bounded situations are temporally closed, by implicit or explicit bounds (ran, broke); • unbounded situations are ongoing, temporally open (running, breaking). • Boundedness depends on both aspectual viewpoint and situation type. We will say more about this below. The deictic pattern is stated in (1), and more compactly in (1'): (1) Default deictic pattern of temporal form and interpretation a. Ongoing events are in the present: located at speech time b. States (unbounded) are in the present: located at speech time c. Bounded events are in the past: located before speech time d. Explicit temporal information may override (a)–(c) (1') a. Unbounded situations are located in the present b. Bounded events are located in the past (past is marked) The temporal possibilities are not limited to the default statements in (1a)–(1c) and (1'). Bounded events may be located in the future, and states or ongoing events may be in the past or future. These departures from the pattern are expressed with additional information, as (1d) indicates. However, no bounded events are located in the present. This is an important, nonaccidental, gap in the paradigm. It is due to a general constraint that events in the present cannot be bounded The realization of the deictic pattern depends on pragmatic constraints that involve both aspectual and temporal information. The restriction on events in the present arises from a pragmatic convention of communication that has semantic consequences. In taking the temporal perspective of the present, speakers follow a tacit convention that communication is instantaneous. The perspective of the present time is incompatible with a bounded event, because the bounds would go beyond that perspective. As Kamp and Reyle (1993) put it: A present tense sentence describes an eventuality (situation) as occurring at the time at which the sentence is uttered, and thus at a time at which the thought is being entertained which the sentence expresses. So the thought must conceive the eventuality as it appears from the perspective of the time at which it is going on. A sentence which describes something as going on at a time — in the sense of not having come to an end when that time is up — cannot represent something as an event. For the event would have to be entirely included within the location time and thus would not extend beyond it. (Kamp and Reyle 1993: 536–537) Due to this constraint, all simple present tense sentences express un- bounded situations. We call it the bounded event constraint (c.f. Smith 2003). The constraint is stated in (2): !!(2) The bounded event constraint: bounded events are not located in the present. The bounded event constraint is an essential factor in the deictic pattern, since it partially explains clause (1c), the default for bounded events. Almost the same notion is called the "punctuality constraint" in Giorgi and Pianesi (1997: 163); for an earlier formulation, see Lyons (1977). The constraint explains the limited interpretations available for situations located in the present in English. They may be ongoing events (John is talking); specific states (Ella is sick); or generalizing statives and generics (Tom feeds the cat, elephants eat grass), but not bounded events. There are some exceptions, which have well-known special interpretations. Generalizing statives have the simple verb form. With present tense, they express a pattern of situations rather than a specific event or state, and are thus semantically stative. Languages realize the bounded event constraint in di¤erent ways. In Russian, sentences with the perfective viewpoint and present tense convey future time; the Romance languages do not have a perfective present tense form. The deictic pattern provides that the default for bounded events is past rather than future. We must also explain this. To do so, we invoke a general simplicity principle of information processing. When faced with information that does not fully determine an interpretation, people choose the simplest interpretation to resolve it. The point has been made convincingly for perception. If people view a partial or indeterminate picture or shape, the visual system constructs a simple, complete percept (Kanizsa 1976). People construct a simple complete form rather than a complex or incomplete one. We adapt this finding as a simplicity criterion for the interpretation of temporal location. The past is simpler than the future, we claim. The two are symmetrically related to speech time — the past precedes, the future follows. But the future has the additional factor of uncertainty, a modal meaning (e.g. will, may) (Lyons 1977; Kamp and Reyle 1993). Due to the modal factor, we take it that the future is more complex than the past. The prediction then is that people take sentences expressing bounded events to be in the past unless there is explicit indication of the future. And indeed, this is the case. We state the finding as a general simplicity principle that constrains interpretation. !!(3) Simplicity principle of interpretation: choose the interpretation that requires the least additional information. From the Gricean point of view (Grice 1975), this principle constrains the inferences that people make when they infer information that is not explicitly asserted. Given a sentence that says the minimum necessary, perhaps according to Grice's second maxim of quantity, one "fills out" the interpretation (c.f. the informativeness principle of Levinson [1983], or the R-principle of Horn [1984]). Similar principles are used to constrain computational reasoning procedures. We suggest that these two pragmatic principles underlie the deictic pattern of temporal interpretation. In the discussion below, we state a third principle — the temporal schema principle — that applies to clauses that have neither explicit temporal or aspectual viewpoint information. We refer to clauses without an overt viewpoint morpheme as "zero-marked," following Klein et al. (2000). Information relevant to temporal interpretation is coded primarily by adverbials, tense, and aspect, depending on the language. While this article focuses on Mandarin, we will occasionally compare it to English. The deictic pattern is expressed according to the resources of each language. We assume that Mandarin is tenseless, while English is a tensed language. *In Mandarin, aspectual factors give key information, in a manner explained below. *In English, tense and aspect interact: the present tense conveys unbounded situations in the present and the past tense conveys situations in the past. Since we are talking about interpretation, we implicitly take the viewpoint of the receiver rather than that of the speaker. However, we assume a Gricean (1975) approach in which the calculations of speaker and hearer are essentially the same. In this article, *we try to state what and how information contributes to interpretation. *We do not intend a psycholinguistic account, which would deal with processing: *we make no claims about the actual order in which processing occurs. !!1.2. The keys to the deictic pattern: aspect and temporal location Aspect concerns the internal temporal structure of the situations introduced into a discourse. We assume that aspectual systems have two components — #situation type and #viewpoint — modeled within discourse representation theory (Smith 1997 [1991]; Kamp and Reyle 1993). Situation type indirectly classifies a sentence as expressing a state or an event of a certain type. The categories of event and state are idealizations, types of situations with distinctive temporal properties. The situation types are realized at clause level by the verb and its arguments, the "verb constellation." Verb constellations associated with a given situation type have unique distributional and semantic properties, and are thus recognizable as covert linguistic categories in the sense of Whorf (1956). Three two-valued temporal features differentiate the main classes of situations: 1. dynamic/static, 2. telic/atelic, 3. durative/instantaneous. The distinction between events and states, and between telic and atelic events, can affect temporal interpretation. *Events are dynamic, occurring at successive stages. *States are static, holding consistently throughout an interval without endpoints — the changes into and out of a state are events in themselves. *Telic events have natural endpoints; durative atelic events, or activities, have arbitrary, potential endpoints. For situation type, a temporal schema models its defining features; the temporal schema is associated by rule with the appropriate verb constellations. The features have linguistic correlates, as discussed by Vendler (1957) and others. The features of heterogeneity and homogeneity, based on part–whole relations, also form classes among the situation types. Telic and bounded events are heterogeneous because the part is different in kind from the whole. Only a complete telic event has the properties of the event itself, for example, a part of "walking to school" doesn't count as "walking to school." In contrast, states and atelic events sometimes pattern together linguistically. Aspectual viewpoint makes available for semantic interpretation all or part of a situation; more precisely, the temporal schema associated with a situation type. The aspectual value of a clause is a composite of information from both situation type and viewpoint. The semantic meaning of each viewpoint must be stated for each language, but some generalizations can be made. The same situation may be described from different aspectual viewpoints as a language allows. Most viewpoints are usually grammatical at the clause level except for a few fixed contexts (though they may not be felicitous in a given discourse). There are three classes of viewpoint: #perfectives (open the door) make events visible as including endpoints, bounded. #Imperfectives (opening the door) make situations visible without information as to endpoints, unbounded. #Neutral viewpoints are flexible, giving enough information to allow a bounded or an unbounded interpretation. #(English does not have a neutral viewpoint; see below for Mandarin examples. We relate the neutral viewpoint to zero-marked clauses, those without an overt viewpoint morpheme. Viewpoint morphemes are optional in most clauses of Mandarin.) *Boundedness and unboundedness may be expressed by situation type, viewpoint, and otherwise, according to the resources of a language. *Bounds are usually conveyed by the perfective viewpoint; they may also be stated independently with adverbial or other information (Depraetere 1995). In the two-component theory, situation type and viewpoint are distinct. Imperfectives (Leigh is cooking) and states (Leigh is happy) are similar — for instance, both have the subinterval property: when they hold for an interval I, they hold equally for any smaller interval of I. But they also differ. One important difference is that states can be taken as inchoative in certain contexts, whereas imperfectives cannot. To see this, compare • "Leigh was smiling when John broke the glass" and • "Leigh was angry when John broke the glass"; only in the latter can the main clause have an inchoative interpretation (Smith 1997 [1991]). #Temporal location requires an orientation point, as noted above, which in the default case is "speech time," the moment of speech. #The moment or interval at which a situation takes place, "situation time," is understood in relation to speech time. #Past situations precede speech time, future situations follow it. The expression of temporal location in language also involves another time: "reference time." Our understanding of temporal interpretation is informed by the views of Hans Reichenbach (1947), extended and modified by many, including Partee (1984), Hinrichs (1986), and Smith (1997 [1991]). In his discussion of tensed languages Reichenbach showed that the temporal location of situations involves a designated reference time, in addition to speech time and situation time. The designated time conveys a temporal perspective from which "the speaker invites his audience to consider the event" (Taylor 1977: 203). We will show that the notion of reference time is relevant to Mandarin as well. Situation time may be a moment or interval, depending on contextual information. #Situations are wholly or partially located at SitT according to their aspectual value. #Bounded situations (perfective, cooked ), are totally included in situation time (e J SitT); #unbounded events (imperfective, is cooking) and states (believe) overlap or surround it (e 0 SitT). This insight goes back at least to Jespersen (1931: 79). Another account of aspect and temporal location is given by Klein (1994) and Klein et al. (2000). In this account aspect codes the relation between the run-time of a situation and topic time, a designated reference time. For perfective events, the event is totally included within topic time; for imperfectives the situation overlaps topic time. Reichenbach (1947) gave several kinds of evidence for reference time; he focused on the English tense system. *One piece of evidence is the contrast between sentences in the past tense and the present perfect. *Another is that reference time clarifies the temporal relations between the situations expressed in language. *Adverbial clauses and other contexts give information that locates situations relative to one another. Using the notion of reference time, Reichenbach shows that overlapping situations share reference time and those in sequence do not. The phenomenon of shifted deixis also supports the notion of reference time. Deictic adverbials such as now, in three days, which normally anchor to the moment of speech, can anchor to a past (or future) time, as in Leigh sat down at the desk. Now he was ready to start work. In such contexts, the shifted now suggests Leigh's perspective. Reference time is the anchor for this perspective. We take the view, along with Y. R. Chao, that "Chinese verbs have no tense" (Chao 1948: 54). In this we follow the traditional idea that the term "tense" refers to a morpheme, either an inflection or auxiliary, that appears in the main verb phrase of a sentence and has a temporal meaning. Huang (1984) and others have claimed that Mandarin has a finite-nonfinite distinction, which might suggest that it has abstract tense. Hu et al. (2001) present strong arguments to the contrary; Lin (2003), discussing the semantics of temporality in Mandarin, agrees. We concur with the latter authors. We do not think that there is evidence for syntactic tense in the Mandarin language, nor for a systematic finite-nonfinite distinction between clauses. Tense as a linguistic category is discussed further in Smith et al. (2003). The notion of a designated reference time is not dependent on tense, but is basic to temporal location in language. Indeed, it has explanatory value for Mandarin. Reference time partly accounts for the contrast between the perfective morphemes le and -guo, which have a temporal component. Adverbials such as yijing (‘already’) code a relation to reference time; and for temporal relations between situations and shifted deixis, reference time is useful as well. Aspectual morphemes may code the relation between reference time and situation time. They do not code a relation between reference time and speech time, however. In Mandarin, the latter relation is inferred from information in the text and/or context. In tensed languages such as English, tense codes the relation between reference time and speech time. English forces a choice between present and past present tense for states (The Great Wall is/was impressive). Mandarin does not. What differentiates Mandarin from a tensed language, then, is that the grammatical forms relevant to temporal location do not relate reference time to speech time. !!2. Temporal information in Mandarin In this section we discuss the temporal information conveyed by aspect, adverbs, and certain specific lexical forms in Mandarin. We then show how the deictic pattern is realized. Although our presentation is relatively informal, we are interested in an account that can be developed formally within discourse representation theory, which constructs a dynamic representation of the information conveyed in discourse. Syntactic surface structure is the input to the construction rules of the theory. The rules for temporal information enter situation entities, times, and their relations into semantic representation. !!2.1. Reference time in Mandarin The aspectual viewpoint morphemes of Mandarin give both aspectual and temporal information. Temporally, le and -guo indicate di¤erent relations between reference time (RT) and situation time (SitT). Le conveys that the SitT interval is simultaneous with RT; -guo conveys that SitT precedes RT, at a di¤erent interval. For instance, consider the constructed examples below; the translations are approximate:
I need to learn p, f, and t value #http://blog.znsun.com/2008/04/653/t-test-and-f-test-and-p-or-sig-value #http://belleaya.pixnet.net/blog/post/30754486-%5B教學%5D-%5B統計%5D-anova變異數分析-小筆記
夜間視線不良，又有附近的狗被撞死。不知道是放養的還是流浪狗。我提出 [狗項圈管理辦法草案] 有鑑於流浪狗和放養狗在鄰近村里穿梭，造成行車安全疑慮。我們想提出一個辦法能解決行人安全和不造成狗被送往收容所安樂死的局面。 那就是強制各社區的放養狗配戴以反光項圈，流浪狗則以某種形式的項圈和名牌區分。 如此目的相當清楚，增進這些自由狗的反光目視程度，確保行車安全。同時知道他們的攻擊性和是否有主人。 這是嘉義的中正大學，為了辨別大學裡面不斷進出的流浪狗所想出來的辦法。因為地處鄉間，許多人會把狗拋棄在這裡，狗群之間在校園穿梭，有時候可能造成討食或追逐事件。或是和比較穩定的校犬集團發生衝突。 為了區分它們的來歷和編號，做了三種顏色的項圈來區分他們的個性。校犬(早期被學校收編，以及店家餵養收編的溫和流浪狗)採用綠色項圈。 比較活潑但無害的流浪狗用黃色項圈。 紅色項圈表示該狗可能有攻擊性。待居民和社區熟知這些狗以後，可以選擇更換他的項圈，或是直接收編黃色項圈的狗兒在社區做警衛犬。如此可以讓犬隻不受到非人道的安樂死或拘捕，或造成交通安全，又能保衛社區。 以顏色區分，居民和學生能夠知道這些狗是不是附近社區的居民飼養，或是最近才被拋棄或走動進來社區的流浪犬，因為沒有社區使用的顏色區別。 這樣的方式在中正大學已經行之有年，確實遏止了[非校園認證]的狗進入。也減緩了惡意棄養的情況。這些狗是用這樣的方式，逐漸在各地盤穩定下來，和居民學生校方形成了狗兒住民的關係。也擔任著守望相助社區的作用。一隻流浪狗的壽命，在正常的情況下只有三年，因為疾病、交通安全，還有被捕殺虐殺的關係。讓他們用收編的方式在社區住下來，成為社區的一份子，可以成為你們家園的警衛。幸運的流浪狗有校園或軍營收編，為了各位行車安全，我建議強制這些沒有項圈的放養狗也配戴反光項圈。 我們提出這樣的方案，一方面希望不要再看到有人虐待無辜的流浪狗或因為視線不良撞死狗，或是狗兒對孩童造成不良影響。 這些狗其實有地盤領域性，成為該區的居民以後，他們反而可以防止外來的流浪犬進入社區，減少問題。捕殺不是最好的辦法，因為永遠都有新的犬隻闖進社區流浪，造成更多安全和交通問題。這在大學的流浪狗對策實行裏已經獲得實證。 筆者曾經在下雨的晚上好幾次被衝出馬路的自由狗嚇到，也親眼看到聽到放養的大狗因為天色昏暗在道路上被汽車撞擊的景象。身體遭受重擊和急煞的聲音，讓人產生無法抹滅的陰影。又或者在河濱運動的時候，看到表情茫然呆滯的流浪犬，顯露出活著已經如此痛苦的樣子。記得住在柱子下，被人拖走的毛毛嗎? 給他們一個小小的遮風避雨處，也許在警衛亭或活動中心冷氣機旁，那就會是他的家，他的崗位。給他一個機會留下來，就像您為了生計搬到社區開始定下來的那一年。我保證，他會成為你有史以來，最好的鄰居。
Got some association and research teams #http://www.bu.edu/synesthesia/faq/index.html #http://www.doctorhugo.org/paintings/index.html #https://www.cogsci.mq.edu.au/research/projects/synaesthesia/ #http://www.theverge.com/2011/11/15/2564969/synesthetes-of-the-world-unite #http://www.sussex.ac.uk/profiles/92444/publications #http://www.sussex.ac.uk/profiles/92444/research !!A full and up-to-date list of Jamie Ward's publications can be found here http://scholar.google.co.uk/citations?user=7PaqoJcAAAAJ&hl=en I conduct research in human cognitive neuroscience using methods such as neuropsychology, fMRI, TMS and EEG. The specific focus of my present research can be divided into three inter-related strands that all relate to individual differences in perceptual experience, and the relation between perception and other aspects of cognition (including memory and social cognition). !!Synaesthesia and the multi-sensory brain My research group is one of the world-leading centres for studying the phenomenon of synaesthesia (hearing flashes, tasting words, coloured music, etc.). The research is revealing how individual differences in conscious perceptual experiences are linked to neurobiological differences and how they relate to cognition more broadly. Our present research examines how synaesthesia is linked to memory function and perceptual sensitivity. Further information can be found at http://www.sussex.ac.uk/synaesthesia/ #Banissy M.J., Tester, V., Muggleton, N.G., Janik, A.B., Davenport, A., Franklin, A., Walsh, V., & Ward, J. (2013). Synesthesia for Color Is Linked to Improved Color Perception but Reduced Motion Perception, Psychological Science, 24(12), 2390 - 2397. #Ward, J. (2013). Synesthesia. Annual Review of Psychology, 64, 49-75 #Rothen, N., Meier, B., & Ward, J. (2012). Enhanced memory ability: Insights from synaesthesia. Neuroscience and Biobehavioral Reviews, 36, 1952–1963. #Ward, J., Jonas, C.N., Dienes, Z., & Seth, A.K. (2009). Grapheme-colour synaesthesia improves detection of embedded shapes, but without pre-attentive “pop-out” of synaesthetic colour. Proceedings of the Royal Society of London B, 277, 1021-1026 !!Social neuroscience of vicarious perception My research in this area has focussed on how observing bodily states on other people (such as touch, pain and itch) interfaces with neural representations of our own body. This includes atypical experiences (e.g. people who literally experience the pain of others) as well as more commonplace ones (e.g. the rubber hand illusion). Understanding vicarious perception will provide novel insights in to the mechanisms of social cognition (e.g. empathy, perspective taking). !!Representative recent publications: #Alrajih, S. & Ward, J. (2014). Increased facial width-to-height ratio and perceived dominance in the faces of the UK's leading business leaders. British Journal of Psychology, 105 (2), 153–161 #Goller, A.I., Richards, K., Novak, S. & Ward, J. (2013). Mirror-touch Synaesthesia in the Phantom Limbs of Amputees. Cortex, 49, 243-251 #Holle, H., Warne, K., Seth, A. K., Critchley, H. D., & Ward, J. (2012). The neural basis of contagious itch and why some people are more prone to it. Proceedings of the National Academy of Science, USA, 109, 19816–1982 #Banissy, M.J., Sauter, D., Ward, J., Warren, J., Walsh, V., & Scott, S.K. (2010) Suppressing sensorimotor activity modulates the discrimination of auditory emotions but not speaker identity. Journal of Neuroscience, 30, 13552–13557. !!Sensory loss, sensory substitution and cross-modal plasticity Normal neural pathways connecting the senses may become distorted or amplified by sensory loss (e.g. blindness) such that the ‘visual’ cortex responds to sound and touch. One aspect of our current research examines the nature of this plasticity and how it reverses following restoration of sight. Another aspect examines how technology (sensory substitution devices) can be used to represent the visual world via sound and touch to the visually impaired (see http://www.sussex.ac.uk/rmphillips/). Finally, phantom sounds (in tinnitus) may be modulated by the somatic system in some people (e.g. moving their eyes or jaw affects the tinnitus) suggesting cross-modal plasticity of a somatic-auditory pathway in these individuals. !!Representative recent publications: #Ward, J., Vella, C., Hoare, D.J., & Hall, D.A. (in press). Subtyping somatic tinnitus: A cross-sectional UK cohort study of demographic, clinical and audiological characteristics. PLoS ONE #Ward, J. & Wright, T.D. (2014). Sensory substitution as an artificially acquired synaesthesia. Neuroscience and Biobehavioral Reviews, 41, 26-31. #Wright, T.D., Margolis, A., & Ward, J. (in press). Using an auditory sensory substitution device to augment vision: Evidence from eye movements. Experimental Brain Research #Hamilton-Fletcher, G., & Ward, J. (2013). Representing colour through hearing and touch in sensory substitution devices. Multisensory Research, 26 (6), 503-532 !!Selected publications Article #Gould van Praag, Cassandra D, Garfinkel, Sarah, Ward, Jamie, Bor, Daniel and Seth, Anil K (2016) Automaticity and localisation of concurrents predicts colour area activity in grapheme-colour synaesthesia. Neuropsychologia. ISSN 0028-3932 #Gould van Praag, Cassandra D, Garfinkel, Sarah, Ward, Jamie, Bor, Daniel and Seth, Anil K (2016) Automaticity and localisation of concurrents predicts colour area activity in grapheme-colour synaesthesia. Neuropsychologia. ISSN 1873-3514 #Terhune, Devin B, Luke, David P, Kaelen, Mendel, Bolstridge, Mark, Feilding, Amanda, Nutt, David, Carhart-Harris, Robin, Ward, Jamie, Unset and Unset (2016) A placebo-controlled investigation of synaesthesia-like experiences under LSD. Neuropsychologia. ISSN 0028-3932 (Accepted) #Ward, Jamie (2016) The lived experience of mirror-touch synaesthesia: a qualitative investigation of empathy and social life. Journal of Consciousness Studies. ISSN 1355-8250 (Accepted) #Ward, Jamie, Mensah, Ajua and Jünemann, Kristin (2015) The rubber hand illusion depends on the tactile congruency of the observed and felt touch. Journal of Experimental Psychology: Human Perception and Performance. ISSN 1939-1277 #Vanneste, Sven, Ward, Jamie, Vella, Claire, Hoare, Derek J and Hall, Deborah A (2015) Subtyping somatic tinnitus: a cross-sectional UK cohort study of demographic, clinical and audiological characteristics. PLOS ONE, 10 (5). e0126254. ISSN 1932-6203 #Ward, Jamie and Banissy, Michael J (2015) Explaining mirror-touch synesthesia. Cognitive Neuroscience, 6 (2-3). pp. 118-133. ISSN 1758-8936 #Jones, Catherine L, Minati, Ludovico, Nagai, Yoko, Medford, Nick, Harrison, Neil, Gray, Marcus, Ward, Jamie and Critchley, Hugo D (2015) Neuroanatomical substrates for the volitional regulation of heart rate. Frontiers in Psychology. ISSN 1664-1078 #Wright, Thomas D, Margolis, Aaron and Ward, Jamie (2015) Using an auditory sensory substitution device to augment vision: evidence from eye movements. Experimental Brain Research, 233 (3). pp. 851-860. ISSN 0014-4819 #Eccles, J A, Garfinkel, S N, Harrison, N A, Ward, J, Taylor, R E, Bewley, A P and Critchley, H D (2015) Sensations of skin infestation linked to abnormal frontolimbic brain reactivity and differences in self-representation. Neuropsychologia, 77. pp. 90-96. ISSN 0028-3932 #Pfeifer, Gaby, Rothen, Nicolas, Ward, Jamie, Chan, Dennis and Sigala, Natasha (2014) Associative memory advantage in grapheme-color synesthetes compared to older, but not young adults. Frontiers in Psychology, 5 (696). ISSN 1664-1078 #Gould, Cassandra, Froese, Tom, Barrett, Adam B, Ward, Jamie and Seth, Anil K (2014) An extended case study on the phenomenology of sequence-space synesthesia. Frontiers in Human Neuroscience, 8 (433). ISSN 1662-5161 #Alrajih, Shuaa and Ward, Jamie (2014) Increased facial width-to-height ratio and perceived dominance in the faces of the UK's leading business leaders. British Journal of Psychology, 105 (2). pp. 153-61. ISSN 0007-1269 #Anderson, Hazel P, Seth, Anil K, Dienes, Zoltan and Ward, Jamie (2014) Can grapheme-color synesthesia be induced by hypnosis? Frontiers in Human Neuroscience, 8. p. 220. ISSN 1662-5161 #Ward, Jamie and Wright, Thomas (2014) Sensory substitution as an artificially acquired synaesthesia. Neuroscience and Biobehavioral Reviews, 41. pp. 26-35. ISSN 0149-7634 #Holle, Henning, Banissy, Michael J and Ward, Jamie (2013) Functional and structural brain differences associated with mirror-touch synaesthesia. NeuroImage, 83. pp. 1041-1050. ISSN 1053-8119 #Banissy, Michael J, Tester, Victoria, Muggleton, Neil G, Janik, Agnieszka B, Davenport, Aimee, Franklin, Anna, Walsh, Vincent and Ward, Jamie (2013) Synesthesia for color is linked to improved color perception but reduced motion perception. Psychological Science, 24 (12). pp. 2390-2397. ISSN 0956-7976 #Rothen, Nicolas, Scott, Ryan B, Mealor, Andy D, Coolbear, Daniel J, Burckhardt, Vera and Ward, Jamie (2013) Synesthetic experiences enhance unconscious learning. Cognitive Neuroscience, 4 (3-4). pp. 231-238. ISSN 1758-8936 #Rothen, Nicolas, Seth, Anil K, Witzel, Christoph and Ward, Jamie (2013) Diagnosing synaesthesia with online colour pickers: maximising sensitivity and specificity. Journal of Neuroscience Methods, 215 (1). pp. 156-160. ISSN 0165-0270 #Wright, Thomas and Ward, Jamie (2013) The evolution of a visual-to-auditory sensory substitution device using interactive genetic algorithms. Quarterly Journal of Experimental Psychology, 66 (8). pp. 1620-1638. ISSN 1747-0218 #Goller, Aviva I, Richards, Kerrie, Novak, Steven and Ward, Jamie (2013) Mirror-touch synaesthesia in the phantom limbs of amputees. Cortex, 49 (1). pp. 243-251. ISSN 0010-9452 #Maus, Gerrit W, Ward, Jamie, Nijhawan, Romi and Whitney, David (2013) The perceived position of moving objects: transcranial magnetic stimulation of area MT+ reduces the flash-lag effect. Cerebral Cortex, 23 (1). pp. 241-247. ISSN 1047-3211 #Holle, Henning, Warne, Kimberley, Seth, Anil K, Critchley, Hugo D and Ward, Jamie (2012) Neural basis of contagious itch and why some people are more prone to it. Proceedings of the National Academy of Sciences, 109 (48). pp. 19816-18821. ISSN 0027-8424 #Banissy, Michael J, Cassell, Josephine E, Fitzpatrick, Sian, Ward, Jamie, Walsh, Vincent X and Muggleton, Neil G (2012) Increased positive and disorganised schizotypy in synaesthetes who experience colour from letters and tones. Cortex, 48 (8). pp. 1085-1087. ISSN 0010-9452 #Jewanski, Jörg, Simner, Julia, Day, Sean A and Ward, Jamie (2011) The development of a scientific understanding of synesthesia from early case studies (1849-1873). Journal of the History of the Neurosciences, 20 (4). pp. 284-305. ISSN 0964-704X #Jonas, Clare N, Taylor, Alisdair J G, Hutton, Sam, Weiss, Peter H and Ward, Jamie (2011) Visuo-spatial representations of the alphabet in synaesthetes and non-synaesthetes. Journal of Neuropsychology, 5 (2). pp. 302-322. ISSN 1748-6645 #Jones, Catherine L, Minati, Ludovico, Harrison, Neil A., Ward, Jamie and Critchley, Hugo D. (2011) Under pressure: Response urgency modulates striatal and insula activity during decision-making under risk. PLoS ONE, 6 (6). ISSN 1932-6203 #Banissy, Michael J, Stewart, Lauren, Muggleton, Neil G, Griffiths, Timothy D, Walsh, Vincent Y, Ward, Jamie and Kanai, Ryota (2011) Grapheme-color and tone-color synesthesia is associated with structural brain changes in visual regions implicated in color, form, and motion. Cognitive Neuroscience, 3 (1). pp. 29-35. ISSN 1758-8928 !!Conference or Workshop Item #Hamilton-Fletcher, Giles, Obrist, Marianna, Watten, Phil, Mengucci, Michele and Ward, Jamie (2016) “I always wanted to see the night sky”: blind user preferences for Sensory Substitution Devices. In: ACM CHI Conference on human factors in computing systems (CHI 2016), May 7-12, 2016, San Jose, CA, USA. (Accepted) #Mavromihelaki, Evangelia, Eccles, Jessica, Harrison, Neil, Grice-Jackson, Thomas, Ward, Jamie, Critchley, Hugo and Mania, Katerina (2014) Cyberball3D+: a 3D serious game for fMRI investigating social exclusion and empathy. In: Games and Virtual Worlds for Serious Applications (VS-GAMES), 2014 6th International Conference, 9 - 12 September 2014.
I got some of these links #Elements of style http://www.bartleby.com/141/index.html
In order to demo how the programs call each other.
I need a graph like this.
{{unix.jpg}}
Assertion of my research Mnemonic devices research_2 Table of Content *Ch1 Introduction **Setting up the environment **Designing Devices **Participants *Ch2 Data Analysis and python processing *Ch3 Validity and reliability (PD) *Ch4 Implication for special learners *Ch5 Weakness and suggestions *Ch6 Conclusion *References *Appendix
Write to # 避震 #前岔 #七個名字的女孩 http://webpac.tphcc.gov.tw/toread/opac/bibliographic_view/647701
I've been tracking my research progress with various methods. Today is the 75 days since I work as a tech writer. (roughly) Now I look back the notes I jot down on the white board two months ago, I realize that my progress in learning a programing language is not enough. How long will it take to make my desired app for my research thesis? I only start to know javascript for 10 days, and for the past days I've been poking around for available learning resources, from internet, MOOCs, books, and forums. I got a new, powerful Windows 10, ACER desktop PC in my office, and it helps me a lot to utilize these coding resources and manual writing works. It's what the company offered me, along with a wide screen. It may be a small investigation for the company, but it helps a lot to improve the employees' efficiency if they got powerful tools to use. But I still need someone to help me learn faster and more focused, so that I can make the project finish in time. I am worried, and yes, I have not yet found my advisor. I was turned down many times. Thus I realized I must work on a better research agenda and coding an app to make it work.
http://www-01.sil.org/linguistics/GlossaryOflinguisticTerms/WhatIsTransitivity.htm And some other key terms
1 Alan Bryman Professor of Social Research Department of Social Sciences Loughborough University Loughborough, Leicestershire LE11 3TU United Kingdom 44 (0)1509 223358 (phone) 44 (0)1509 223944 (fax) A.E.Bryman@lboro.ac.uk Word Count: 1,026 Triangulation. Triangulation refers to the use of more than one approach to the investigation of a research question in order to enhance confidence in the ensuing findings. Since much social research is founded on the use of a single research method and as such may suffer from limitations associated with that method or from the specific application of it, triangulation offers the prospect of enhanced confidence. Triangulation is one of the several rationales for MULTIMETHOD RESEARCH. The term derives from surveying, where it refers to the use of a series of triangles to map out an area. TRIANGULATION AND MEASUREMENT The idea of triangulation is very much associated with measurement practices in social and behavioral research. An early reference to triangulation was in relation to the idea of UNOBTRUSIVE METHOD proposed by Webb et al. (1966), who suggested, “Once a proposition has been confirmed by two or more independent measurement processes, the uncertainty of its interpretation is greatly reduced. The most persuasive evidence comes through a triangulation of measurement processes” (p. 3). Thus, if we devise a new survey-based measure of a concept like emotional labor, our confidence in that measure will be greater if we can confirm the distribution and 2 correlates of emotional labor through the use of another method, such as structured observation. Of course, the prospect is raised that the two sets of findings may be inconsistent, but as Webb et al. observed, such an occurrence underlines the problem of relying on just one measure or method. Equally, the failure for two sets of results to converge may prompt new lines of inquiry relating to either the methods concerned or the substantive area involved. A related point is that even though a triangulation exercise may yield convergent findings, we should be wary of concluding that this means that the findings are unquestionable. It may be that both sets of data are flawed. TYPES OF TRIANGULATION Denzin (1970) extended the idea of triangulation beyond its conventional association with research methods and designs. He distinguished four forms of triangulation: 1. Data triangulation, which entails gathering data through several sampling strategies, so that slices of data at different times and social situations, as well as on a variety of people, are gathered. 2. Investigator triangulation, which refers to the use of more than one researcher in the field to gather and interpret data. 3. Theoretical triangulation, which refers to the use of more than one theoretical position in interpreting data. 4. Methodological triangulation, which refers to the use of more than one method for gathering data. 3 The fourth of these, as the preceding discussion implies, is the most common of the meanings of the term. Denzin drew a distinction between within-method and between-method triangulation. The former involves the use of varieties of the same method to investigate a research issue; for example, a self-completion questionnaire might contain two contrasting scales to measure emotional labor. Between-method triangulation involved contrasting research methods, such as a questionnaire and observation. Sometimes this meaning of triangulation is taken to include the combined use of QUANTITATIVE RESEARCH and QUALITATIVE RESEARCH to determine how far they arrive at convergent findings (see MULTIMETHOD RESEARCH). For example, a study in the United Kingdom by Hughes et al. (1997) of the consumption of “designer drinks” by young people employed both structured interviews and focus groups. The two sets of data were mutually confirming in that they showed a clear pattern of age differences in attitudes toward these types of alcoholic drinks. Triangulation is sometimes used to refer to all instances in which two or more research methods are employed. Thus, it might be used to refer to multimethod research in which a quantitative and a qualitative research method are combined to provide a more complete set of findings than could be arrived at through the administration of one of the methods alone. However, it can be argued that there are good reasons for reserving the term for those specific occasions in which researchers seek to check the VALIDITY of their findings by cross-checking them with another method. 4 EVALUATION OF TRIANGULATION The idea of triangulation has been criticized on several grounds. First, it is sometimes accused of subscribing to a naive REALISM that implies that there can be a single definitive account of the social world. Such realist positions have come under attack from writers aligned with CONSTRUCTIONISM and who argue that research findings should be seen as just one among many possible renditions of social life. On the other hand, writers working within a constructionist framework do not deny the potential of triangulation; instead, they depict its utility in terms of adding a sense of richness and complexity to an inquiry. As such, triangulation becomes a device for enhancing the credibility and persuasiveness of a research account. A second criticism is that triangulation assumes that sets of data deriving from different research methods can be unambiguously compared and regarded as equivalent in terms of their capacity to address a research question. Such a view fails to take account of the different social circumstances associated with the administration of different research methods, especially those associated with a between-methods approach (following Denzin’s [1970] distinction). For example, the apparent failure of findings deriving from the administration of a STRUCTURED INTERVIEW to converge with FOCUS GROUP data may have more to do with the possibility that the former taps private views as opposed to the more general ones that might be voiced in the more public arena of the focus group. Triangulation has come to assume a variety of meanings although the association with the combined use of two or more research methods within a strategy 5 of CONVERGENT VALIDITY is the most common. In recent years, it has attracted some criticism for its apparent subscription to a naively realist position. ALAN E. BRYMAN References Denzin, N. K. (1970). The Research Act in Sociology. Chicago: Aldine. Hughes, K., MacKintosh, A. M., Hastings, G., Wheeler, C., Watson, J., and Inglis, J. (1997). Young people, alcohol, and designer drinks: A quantitative and qualitative study. British Medical Journal 314: 414-18. Webb, E. J., Campbell, D. T., Schwartz, R. D., and Sechrest, L. (1966). Unobtrusive Measures: Nonreactive Measures in the Social Sciences. Chicago: Rand McNally.
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
Here I collect some real job description of tech writers. They differ in every industry, but generally they made quality documents and specs for the products. Some even for internal knowledge base and training, or company codes and concepts. The following are for tech writers in game industry. Note that a tech writer does not mean a reporter who writes news and articles about techs, but writers who create and maintain the docs and specs for manuals and users/developers. They make the bridge for engineers and average users. # https://www.reddit.com/r/gamedev/comments/1agiy2/do_game_studios_employ_technical_writers/ # http://technicalwritingworld.com/forum/topics/any-tech-writers-out-there-who # http://www.gamasutra.com/view/news/108853/Opinion_The_Case_Against_Writers_In_The_Games_Industry.php # http://thickorthingamewriting.blogspot.tw/2009/04/technical-writers.html
ERIC Identifier: ED262500 Publication Date: 1984-00-00 Author: Harrie, Roger P. - Weller, Carol Source: ERIC Clearinghouse on Handicapped and Gifted Children Reston VA. What Is Dyslexia: 1984 Digest. Dyslexia is a term that has been loosely applied to reading disabilities. Specific definitions for dyslexia vary with disciplines. Those in medicine define dyslexia as a condition resulting from neurological, maturational, and genetic causes, while those in psychology relate dyslexia on the basis of the specific reading problems evidenced and give no reference to causation. All disciplines would probably agree that dyslexia is evidenced by persons of otherwise normal intellectual capacity who have not learned to read despite exposure to adequate instruction. HOW IS DYSLEXIA DIAGNOSED? The diagnosis of dyslexia usually begins with an awareness by parents or teachers that a problem in reading exists. A physician is often the first diagnostician to explore the nature of the difficulty. The medical practitioner should investigate the cause of the reading problem by conducting a complete physical examination and obtaining a comprehensive health history. If indicated, the child should be referred for a neurological examination. If dyslexia is suspected, the physician should refer the child for further evaluation and treatment by a specialist in psychoeducational diagnosis. The major purpose of the diagnostic process is to isolate the specific difficulties associated with dyslexia and to suggest appropriate educational intervention. Usually the diagnostician will employ a battery of assessment instruments that explore the relationship of specific reading problems to the intellectual, achievement, perceptual, motoric, linguistic, and adaptive capabilities of the individual. Based on the results, an intervention plan can be implemented by a special educator or remedial reading teacher trained in specialized reading techniques. No one remedial reading method works for all reading disabled students. Therefore it is important that the teacher have mastery of many different techniques. WHAT ARE SOME OF THE CHARACTERISTICS OF DYSLEXIA? An individual is identified as dyslexic when a significant discrepancy exists between intellectual ability and reading performance without an apparent physical, emotional, or cultural cause. Common findings in the history include, but are not limited to: (1) family history of reading problems; (2) a predominant occurrence in males (males to females 8:1); (3) an average or above average IQ and, not uncommonly, a proficiency in math: (4) no enjoyment of reading as a leisure activity; (5) problems of letter and word reversal; (6) developmental history of problems in coordination and left/right dominance; (7) poor visual memory for language symobols; (8) auditory language difficulties in word finding, fluency, meaning, or sequence; (9) difficulty transferring information from what is heard to what is seen and vice versa. Specific reading problems associated with dyslexia include difficulty in pronouncing new words, difficulty distinguishing similarities and differences in words (no for on), and difficulty discriminating differences in letter sound (pin, pen). Other problems may include reversal of words and letters, disorganization of word order, poor reading comprehension, and difficulty applying what has been read to social or learning situations. WHAT FACTORS CONTRIBUTE TO DYSLEXIA? Ocular Problems Several reliable studies (Helveston 1969; Blika 1982; Keys 1982; Hiatt 1984) have found that dyslexic individuals have no greater incidence of eye problems than do individuals with normal reading ability. Such parameters as visual acuity, stereo acuity, ocular alignment and motility, fusion status (break point amplitude), and refractive error have not been shown to be significantly different in poor versus normal readers. Individuals with reading problems should, however, have a careful eye examination as part of an overall medical examination. There is no scientific evidence that visual training (including eye muscle exercises, ocular tracking or pursuit exercises, or glasses with bifocals or prisms) leads to significant improvement in the performance of dyslexic individuals. Language Problems According to Mattis (1978), the primary contributing factor to dyslexia is an auditory language deficit. Approximately 86% of the individuals identified as dyslexic evidence an auditory language disorder that prevents the individual from linking the spoken form of a word with its written equivalent. In light of this, any individual with reading problems should have a careful evaluation of his or her language capabilities and where indicated, appropriate speech and language intervention should be provided. Visuo-Spatial-Motor Problems In contrast to language problems, visuo-spatial-motor factors of dyslexia appear less frequently (Robinson and Schwartz 1973). Approximately 5% of the individuals identified as dyslexic have a visuo-spatial-motor problem that interferes with sequential organization, scanning, and the perception of temporal and spatial cues. Although visuo-spatial-motor confusion is common in young children who are just learning to read, these problems do not tend to account for severe and persistent reading difficulties unless the child has missed so much basic reading instruction that he cannot get caught up. Assessment of visual, spatial, and motor capacities should be included in the diagnosis of any coordination or orientation disorder; however, there is no scientific evidence that interventions such as neurological and sensory organizational training, laterality training, dominance training, balance beam, or reflex inhibition will significantly accelerate reading performance. Other Factors The importance of general intelligence in learning to read has been examined and shown to be a critical factor in both reading and language abilities. Investigations of the role of dominance in handedness, eyedness, and mixed laterality have produced no consistent conclusions. Studies investigating low birth weight, EEG abnormalities, temperamental attributes, attention deficit disorders, birth order, food additives, and chemical allergies have yielded mixed results. What is clear is that a wide range of factors can be associated with reading difficulties but that these factors work differently in different children. There is no simple formula for diagnosing and treating a dyslexic child. Each one requires his or her own individual program. FOR MORE INFORMATION Benton, A. L., and D. Pearl. DYSLEXIA. New York: Oxford University Press, 1978. Blika, S. "Opthalmological Findings in Pupils of a Primary School with Particular Reference to Reading Difficulties." ACTA OPTHALMOLOGICA 60 (1982):927-934. Helveston, E. M. "Editorial." THE SIGHT SAVING REVIEW 39 (1969):1. Hiatt, R. L. "Reading Problems and the Opthalmologist." ANNALS OF OPTHALMOLOGY 16 (1984):116-122. Keys, M. P. READING DISABILITIES. AMERICAN ACADEMY OF OPTHALMOLOGY INSTRUCTION COURSE #117 (1982). Mattis, S. "Dyslexia Syndromes: A Working Hypothesis." In DYSLEXIA, edited by A. L. Benton and D. Pearl. New York: Oxford University Press, 1978. Robinson, M. E., and L. B. Schwartz. "Visuo-motor Skills and Reading Ability: A Longitudinal Study." DEVELOPMENTAL MEDICINE AND CHILD NEUROLOGY 15 (1973):281-286. Rourke, B. P. "Neuropsychological Research in Reading Retardation, A Review. In DYSLEXIA, edited by A.L. Benton and D. Pearl. New York: Oxford University Press, 1978. Library Reference Search Please note that this site is privately owned and is in no way related to any Federal agency or ERIC unit. Further, this site is using a privately owned and located server. This is NOT a government sponsored or government sanctioned site. ERIC is a Service Mark of the U.S. Government. This site exists to provide the text of the public domain ERIC Documents previously produced by ERIC. No new content will ever appear here that would in any way challenge the ERIC Service Mark of the U.S. Government. http://www.ericdigests.org/pre-922/dyslexia.htm
Table of Content #Introduction (on research motivation) #Literature Review & Methodlogy #Introduction (on Participants’ Narratives) #Personal Narratives #Response on (those) Narratives #Teaching Thoughts #Cross-cases Conclusion !!!Introduction (on research motivation) We collect two participants’ stories and analyze them. Some of the critical events did not happen while they are awake, neither did they describe in the story. What we want to do is to find out the clues supporting our assumptions and analysis, and use them to elaborate how critical it is that we are gradually formed while we are asleep (or before we fall asleep every night.) We have paid much attention on critical events that happen when we are awake, but few research have been done to study the process of internalnization while we are asleep or the minutes we lay on bed before we fall asleep. It is the critical event that happens almost every night, and also a single event by cattegory which continously takes up the most time of our life. We spend about ⅓ of our life time in sleep. !!!Literature Review & Methodlogy I have found some journals that issues on this topic. !!!Intorduction (on Participants’ Narratives) Here we choose two participants’ narratives: HD’s and JY’s. We mostly focus on HD’s story. !!!Personal Narratives Since it would take quite large portion of this study, we decide to put HD’s story first, then JY’s. !!!Cross-cases Conclusion We have seen multiple cases that
Some law issues: *面對青年貧窮化：向違法離職違約金規定說不 http://www.lihpao.com/?action-viewnews-itemid-127 *【勞動之友專欄】我的討薪之路 http://laborvision.pixnet.net/blog/post/102287470-%E3%80%90%E5%8B%9E%E5%8B%95%E4%B9%8B%E5%8F%8B%E5%B0%88%E6%AC%84%E3%80%91%E6%88%91%E7%9A%84%E8%A8%8E%E8%96%AA%E4%B9%8B%E8%B7%AF *關於離職…（雇主不得扣留員工薪資）http://blog.xuite.net/grbb.yu/summer/37461623-%E9%97%9C%E6%96%BC%E9%9B%A2%E8%81%B7%E2%80%A6%EF%BC%88%E9%9B%87%E4%B8%BB%E4%B8%8D%E5%BE%97%E6%89%A3%E7%95%99%E5%93%A1%E5%B7%A5%E8%96%AA%E8%B3%87%EF%BC%89 *[心得] 扣薪後勞工局申訴結果 https://www.ptt.cc/bbs/Salary/M.1376992354.A.BD0.html
I just finished the manual of 6.x series. And I have some free time to work on my research and learning javascripts. Just a few days ago, I realized that I can not rely on eye tracking module to work on my research. There are very practical issues and coding difficulties. First of all, it's still under development and lack of active developing community and code contributors. The module I found was made by volunteers and I can not guarantee its quality and flexibility for my research project. Second, I am still a newbie in coding. It requires experienced engineers to make several modules work together, and eliminate the bugs. I only learned a little bit of Python, and now on html and Javascripts. I learn them since they are the most basic and popular languages for making web apps for phone and their capability of manipulating the wide variety of resources module. But I can utilize some other elements of coding to get precise data as well --- without the eye tracking program module. For example, I can count on the blocks being moved by the phone user to see how fast the user solve my provided syntax puzzles. The recording can be very accurate, even more accurate then the eye tracking module itself. It's not interfered by the working conditions, the pose, the lighting, etc.